more HOST_NAME_MAX fix

Can be made to work, but could put in some more serious infrastructure
for repro testing and blame attribution (Britney test) if necessary

.gitignore

@@ -1,3 +1,7 @@
+# Doxygen stuff
+html/*
+latex/*
+
 # Compiled Object files #
 #########################
 *.slo

Grid/Grid_Eigen_Dense.h

@@ -34,7 +34,7 @@
 #pragma push_macro("__SYCL_DEVICE_ONLY__")
 #undef __SYCL_DEVICE_ONLY__
 #define EIGEN_DONT_VECTORIZE
-//#undef EIGEN_USE_SYCL
+#undef EIGEN_USE_SYCL
 #define __SYCL__REDEFINE__
 #endif
 

Grid/algorithms/Algorithms.h

@@ -69,8 +69,7 @@ NAMESPACE_CHECK(BiCGSTAB);
 #include <Grid/algorithms/iterative/PowerMethod.h>
 
 NAMESPACE_CHECK(PowerMethod);
-#include <Grid/algorithms/multigrid/MultiGrid.h>
-
+#include <Grid/algorithms/CoarsenedMatrix.h>
 NAMESPACE_CHECK(CoarsendMatrix);
 #include <Grid/algorithms/FFT.h>
 

Grid/algorithms/CoarsenedMatrix.h

@@ -56,6 +56,243 @@ inline void blockMaskedInnerProduct(Lattice<CComplex> &CoarseInner,
   blockSum(CoarseInner,fine_inner_msk);
 }
 
+
+class Geometry {
+public:
+  int npoint;
+  int base;
+  std::vector<int> directions   ;
+  std::vector<int> displacements;
+  std::vector<int> points_dagger;
+
+  Geometry(int _d)  {
+    
+    base = (_d==5) ? 1:0;
+
+    // make coarse grid stencil for 4d , not 5d
+    if ( _d==5 ) _d=4;
+
+    npoint = 2*_d+1;
+    directions.resize(npoint);
+    displacements.resize(npoint);
+    points_dagger.resize(npoint);
+    for(int d=0;d<_d;d++){
+      directions[d   ] = d+base;
+      directions[d+_d] = d+base;
+      displacements[d  ] = +1;
+      displacements[d+_d]= -1;
+      points_dagger[d   ] = d+_d;
+      points_dagger[d+_d] = d;
+    }
+    directions   [2*_d]=0;
+    displacements[2*_d]=0;
+    points_dagger[2*_d]=2*_d;
+  }
+
+  int point(int dir, int disp) {
+    assert(disp == -1 || disp == 0 || disp == 1);
+    assert(base+0 <= dir && dir < base+4);
+
+    // directions faster index = new indexing
+    // 4d (base = 0):
+    // point 0  1  2  3  4  5  6  7  8
+    // dir   0  1  2  3  0  1  2  3  0
+    // disp +1 +1 +1 +1 -1 -1 -1 -1  0
+    // 5d (base = 1):
+    // point 0  1  2  3  4  5  6  7  8
+    // dir   1  2  3  4  1  2  3  4  0
+    // disp +1 +1 +1 +1 -1 -1 -1 -1  0
+
+    // displacements faster index = old indexing
+    // 4d (base = 0):
+    // point 0  1  2  3  4  5  6  7  8
+    // dir   0  0  1  1  2  2  3  3  0
+    // disp +1 -1 +1 -1 +1 -1 +1 -1  0
+    // 5d (base = 1):
+    // point 0  1  2  3  4  5  6  7  8
+    // dir   1  1  2  2  3  3  4  4  0
+    // disp +1 -1 +1 -1 +1 -1 +1 -1  0
+
+    if(dir == 0 and disp == 0)
+      return 8;
+    else // New indexing
+      return (1 - disp) / 2 * 4 + dir - base;
+    // else // Old indexing
+    //   return (4 * (dir - base) + 1 - disp) / 2;
+  }
+};
+  
+template<class Fobj,class CComplex,int nbasis>
+class Aggregation   {
+public:
+  typedef iVector<CComplex,nbasis >             siteVector;
+  typedef Lattice<siteVector>                 CoarseVector;
+  typedef Lattice<iMatrix<CComplex,nbasis > > CoarseMatrix;
+
+  typedef Lattice< CComplex >   CoarseScalar; // used for inner products on fine field
+  typedef Lattice<Fobj >        FineField;
+
+  GridBase *CoarseGrid;
+  GridBase *FineGrid;
+  std::vector<Lattice<Fobj> > subspace;
+  int checkerboard;
+  int Checkerboard(void){return checkerboard;}
+  Aggregation(GridBase *_CoarseGrid,GridBase *_FineGrid,int _checkerboard) : 
+    CoarseGrid(_CoarseGrid),
+    FineGrid(_FineGrid),
+    subspace(nbasis,_FineGrid),
+    checkerboard(_checkerboard)
+  {
+  };
+  
+  void Orthogonalise(void){
+    CoarseScalar InnerProd(CoarseGrid); 
+    std::cout << GridLogMessage <<" Block Gramm-Schmidt pass 1"<<std::endl;
+    blockOrthogonalise(InnerProd,subspace);
+  } 
+  void ProjectToSubspace(CoarseVector &CoarseVec,const FineField &FineVec){
+    blockProject(CoarseVec,FineVec,subspace);
+  }
+  void PromoteFromSubspace(const CoarseVector &CoarseVec,FineField &FineVec){
+    FineVec.Checkerboard() = subspace[0].Checkerboard();
+    blockPromote(CoarseVec,FineVec,subspace);
+  }
+
+  virtual void CreateSubspace(GridParallelRNG  &RNG,LinearOperatorBase<FineField> &hermop,int nn=nbasis) {
+
+    RealD scale;
+
+    ConjugateGradient<FineField> CG(1.0e-2,100,false);
+    FineField noise(FineGrid);
+    FineField Mn(FineGrid);
+
+    for(int b=0;b<nn;b++){
+      
+      subspace[b] = Zero();
+      gaussian(RNG,noise);
+      scale = std::pow(norm2(noise),-0.5); 
+      noise=noise*scale;
+      
+      hermop.Op(noise,Mn); std::cout<<GridLogMessage << "noise   ["<<b<<"] <n|MdagM|n> "<<norm2(Mn)<<std::endl;
+
+      for(int i=0;i<1;i++){
+
+	CG(hermop,noise,subspace[b]);
+
+	noise = subspace[b];
+	scale = std::pow(norm2(noise),-0.5); 
+	noise=noise*scale;
+
+      }
+
+      hermop.Op(noise,Mn); std::cout<<GridLogMessage << "filtered["<<b<<"] <f|MdagM|f> "<<norm2(Mn)<<std::endl;
+      subspace[b]   = noise;
+
+    }
+  }
+
+  ////////////////////////////////////////////////////////////////////////////////////////////////
+  // World of possibilities here. But have tried quite a lot of experiments (250+ jobs run on Summit)
+  // and this is the best I found
+  ////////////////////////////////////////////////////////////////////////////////////////////////
+
+  virtual void CreateSubspaceChebyshev(GridParallelRNG  &RNG,LinearOperatorBase<FineField> &hermop,
+				       int nn,
+				       double hi,
+				       double lo,
+				       int orderfilter,
+				       int ordermin,
+				       int orderstep,
+				       double filterlo
+				       ) {
+
+    RealD scale;
+
+    FineField noise(FineGrid);
+    FineField Mn(FineGrid);
+    FineField tmp(FineGrid);
+
+    // New normalised noise
+    gaussian(RNG,noise);
+    scale = std::pow(norm2(noise),-0.5); 
+    noise=noise*scale;
+
+    // Initial matrix element
+    hermop.Op(noise,Mn); std::cout<<GridLogMessage << "noise <n|MdagM|n> "<<norm2(Mn)<<std::endl;
+
+    int b =0;
+    {
+      // Filter
+      Chebyshev<FineField> Cheb(lo,hi,orderfilter);
+      Cheb(hermop,noise,Mn);
+      // normalise
+      scale = std::pow(norm2(Mn),-0.5); 	Mn=Mn*scale;
+      subspace[b]   = Mn;
+      hermop.Op(Mn,tmp); 
+      std::cout<<GridLogMessage << "filt ["<<b<<"] <n|MdagM|n> "<<norm2(tmp)<<std::endl;
+      b++;
+    }
+
+    // Generate a full sequence of Chebyshevs
+    {
+      lo=filterlo;
+      noise=Mn;
+
+      FineField T0(FineGrid); T0 = noise;  
+      FineField T1(FineGrid); 
+      FineField T2(FineGrid);
+      FineField y(FineGrid);
+      
+      FineField *Tnm = &T0;
+      FineField *Tn  = &T1;
+      FineField *Tnp = &T2;
+
+      // Tn=T1 = (xscale M + mscale)in
+      RealD xscale = 2.0/(hi-lo);
+      RealD mscale = -(hi+lo)/(hi-lo);
+      hermop.HermOp(T0,y);
+      T1=y*xscale+noise*mscale;
+
+      for(int n=2;n<=ordermin+orderstep*(nn-2);n++){
+	
+	hermop.HermOp(*Tn,y);
+
+	autoView( y_v , y, AcceleratorWrite);
+	autoView( Tn_v , (*Tn), AcceleratorWrite);
+	autoView( Tnp_v , (*Tnp), AcceleratorWrite);
+	autoView( Tnm_v , (*Tnm), AcceleratorWrite);
+	const int Nsimd = CComplex::Nsimd();
+	accelerator_for(ss, FineGrid->oSites(), Nsimd, {
+	  coalescedWrite(y_v[ss],xscale*y_v(ss)+mscale*Tn_v(ss));
+	  coalescedWrite(Tnp_v[ss],2.0*y_v(ss)-Tnm_v(ss));
+        });
+
+	// Possible more fine grained control is needed than a linear sweep,
+	// but huge productivity gain if this is simple algorithm and not a tunable
+	int m =1;
+	if ( n>=ordermin ) m=n-ordermin;
+	if ( (m%orderstep)==0 ) { 
+	  Mn=*Tnp;
+	  scale = std::pow(norm2(Mn),-0.5);         Mn=Mn*scale;
+	  subspace[b] = Mn;
+	  hermop.Op(Mn,tmp); 
+	  std::cout<<GridLogMessage << n<<" filt ["<<b<<"] <n|MdagM|n> "<<norm2(tmp)<<std::endl;
+	  b++;
+	}
+
+	// Cycle pointers to avoid copies
+	FineField *swizzle = Tnm;
+	Tnm    =Tn;
+	Tn     =Tnp;
+	Tnp    =swizzle;
+	  
+      }
+    }
+    assert(b==nn);
+  }
+
+};
+
 // Fine Object == (per site) type of fine field
 // nbasis      == number of deflation vectors
 template<class Fobj,class CComplex,int nbasis>

Grid/algorithms/LinearOperator.h

@@ -145,44 +145,6 @@ public:
   }
 };
 
-////////////////////////////////////////////////////////////////////
-// Create a shifted HermOp
-////////////////////////////////////////////////////////////////////
-template<class Field>
-class ShiftedHermOpLinearOperator : public LinearOperatorBase<Field> {
-  LinearOperatorBase<Field> &_Mat;
-  RealD _shift;
-public:
-  ShiftedHermOpLinearOperator(LinearOperatorBase<Field> &Mat,RealD shift): _Mat(Mat), _shift(shift){};
-  // Support for coarsening to a multigrid
-  void OpDiag (const Field &in, Field &out) {
-    assert(0);
-  }
-  void OpDir  (const Field &in, Field &out,int dir,int disp) {
-    assert(0);
-  }
-  void OpDirAll  (const Field &in, std::vector<Field> &out){
-    assert(0);
-  };
-  void Op     (const Field &in, Field &out){
-    assert(0);
-  }
-  void AdjOp     (const Field &in, Field &out){
-    assert(0);
-  }
-  void HermOpAndNorm(const Field &in, Field &out,RealD &n1,RealD &n2){
-    HermOp(in,out);
-    ComplexD dot = innerProduct(in,out);
-    n1=real(dot);
-    n2=norm2(out);
-  }
-  void HermOp(const Field &in, Field &out){
-    _Mat.HermOp(in,out);
-    out = out + _shift*in;
-  }
-};
-
-
 ////////////////////////////////////////////////////////////////////
 // Wrap an already herm matrix
 ////////////////////////////////////////////////////////////////////

Grid/algorithms/approx/Chebyshev.h

@@ -90,8 +90,9 @@ public:
     order=_order;
       
     if(order < 2) exit(-1);
-    Coeffs.resize(order,0.0);
-    Coeffs[order-1] = 1.0;
+    Coeffs.resize(order);
+    Coeffs.assign(0.,order);
+    Coeffs[order-1] = 1.;
   };
   
   // PB - more efficient low pass drops high modes above the low as 1/x uses all Chebyshev's.

Grid/algorithms/approx/MultiShiftFunction.h

@@ -40,7 +40,7 @@ public:
   RealD norm;
   RealD lo,hi;
 
-  MultiShiftFunction(int n,RealD _lo,RealD _hi): poles(n), residues(n), tolerances(n), lo(_lo), hi(_hi) {;};
+  MultiShiftFunction(int n,RealD _lo,RealD _hi): poles(n), residues(n), lo(_lo), hi(_hi) {;};
   RealD approx(RealD x);
   void csv(std::ostream &out);
   void gnuplot(std::ostream &out);

Grid/algorithms/approx/Zolotarev.cc

@@ -293,7 +293,7 @@ static void sncndnFK(INTERNAL_PRECISION u, INTERNAL_PRECISION k,
  * Set type = 0 for the Zolotarev approximation, which is zero at x = 0, and
  * type = 1 for the approximation which is infinite at x = 0. */
 
-zolotarev_data* zolotarev(PRECISION epsilon, int n, int type) {
+zolotarev_data* zolotarev(ZOLO_PRECISION epsilon, int n, int type) {
   INTERNAL_PRECISION A, c, cp, kp, ksq, sn, cn, dn, Kp, Kj, z, z0, t, M, F,
     l, invlambda, xi, xisq, *tv, s, opl;
   int m, czero, ts;
@@ -375,12 +375,12 @@ zolotarev_data* zolotarev(PRECISION epsilon, int n, int type) {
   construct_partfrac(d);
   construct_contfrac(d);
 
-  /* Converting everything to PRECISION for external use only */
+  /* Converting everything to ZOLO_PRECISION for external use only */
 
   zd = (zolotarev_data*) malloc(sizeof(zolotarev_data));
-  zd -> A = (PRECISION) d -> A;
-  zd -> Delta = (PRECISION) d -> Delta;
-  zd -> epsilon = (PRECISION) d -> epsilon;
+  zd -> A = (ZOLO_PRECISION) d -> A;
+  zd -> Delta = (ZOLO_PRECISION) d -> Delta;
+  zd -> epsilon = (ZOLO_PRECISION) d -> epsilon;
   zd -> n = d -> n;
   zd -> type = d -> type;
   zd -> dn = d -> dn;
@@ -390,24 +390,24 @@ zolotarev_data* zolotarev(PRECISION epsilon, int n, int type) {
   zd -> deg_num = d -> deg_num;
   zd -> deg_denom = d -> deg_denom;
 
-  zd -> a = (PRECISION*) malloc(zd -> dn * sizeof(PRECISION));
-  for (m = 0; m < zd -> dn; m++) zd -> a[m] = (PRECISION) d -> a[m];
+  zd -> a = (ZOLO_PRECISION*) malloc(zd -> dn * sizeof(ZOLO_PRECISION));
+  for (m = 0; m < zd -> dn; m++) zd -> a[m] = (ZOLO_PRECISION) d -> a[m];
   free(d -> a);
 
-  zd -> ap = (PRECISION*) malloc(zd -> dd * sizeof(PRECISION));
-  for (m = 0; m < zd -> dd; m++) zd -> ap[m] = (PRECISION) d -> ap[m];
+  zd -> ap = (ZOLO_PRECISION*) malloc(zd -> dd * sizeof(ZOLO_PRECISION));
+  for (m = 0; m < zd -> dd; m++) zd -> ap[m] = (ZOLO_PRECISION) d -> ap[m];
   free(d -> ap);
 
-  zd -> alpha = (PRECISION*) malloc(zd -> da * sizeof(PRECISION));
-  for (m = 0; m < zd -> da; m++) zd -> alpha[m] = (PRECISION) d -> alpha[m];
+  zd -> alpha = (ZOLO_PRECISION*) malloc(zd -> da * sizeof(ZOLO_PRECISION));
+  for (m = 0; m < zd -> da; m++) zd -> alpha[m] = (ZOLO_PRECISION) d -> alpha[m];
   free(d -> alpha);
 
-  zd -> beta = (PRECISION*) malloc(zd -> db * sizeof(PRECISION));
-  for (m = 0; m < zd -> db; m++) zd -> beta[m] = (PRECISION) d -> beta[m];
+  zd -> beta = (ZOLO_PRECISION*) malloc(zd -> db * sizeof(ZOLO_PRECISION));
+  for (m = 0; m < zd -> db; m++) zd -> beta[m] = (ZOLO_PRECISION) d -> beta[m];
   free(d -> beta);
 
-  zd -> gamma = (PRECISION*) malloc(zd -> n * sizeof(PRECISION));
-  for (m = 0; m < zd -> n; m++) zd -> gamma[m] = (PRECISION) d -> gamma[m];
+  zd -> gamma = (ZOLO_PRECISION*) malloc(zd -> n * sizeof(ZOLO_PRECISION));
+  for (m = 0; m < zd -> n; m++) zd -> gamma[m] = (ZOLO_PRECISION) d -> gamma[m];
   free(d -> gamma);
 
   free(d);
@@ -426,7 +426,7 @@ void zolotarev_free(zolotarev_data *zdata)
 }
 
 
-zolotarev_data* higham(PRECISION epsilon, int n) {
+zolotarev_data* higham(ZOLO_PRECISION epsilon, int n) {
   INTERNAL_PRECISION A, M, c, cp, z, z0, t, epssq;
   int m, czero;
   zolotarev_data *zd;
@@ -481,9 +481,9 @@ zolotarev_data* higham(PRECISION epsilon, int n) {
   /* Converting everything to PRECISION for external use only */
 
   zd = (zolotarev_data*) malloc(sizeof(zolotarev_data));
-  zd -> A = (PRECISION) d -> A;
-  zd -> Delta = (PRECISION) d -> Delta;
-  zd -> epsilon = (PRECISION) d -> epsilon;
+  zd -> A = (ZOLO_PRECISION) d -> A;
+  zd -> Delta = (ZOLO_PRECISION) d -> Delta;
+  zd -> epsilon = (ZOLO_PRECISION) d -> epsilon;
   zd -> n = d -> n;
   zd -> type = d -> type;
   zd -> dn = d -> dn;
@@ -493,24 +493,24 @@ zolotarev_data* higham(PRECISION epsilon, int n) {
   zd -> deg_num = d -> deg_num;
   zd -> deg_denom = d -> deg_denom;
 
-  zd -> a = (PRECISION*) malloc(zd -> dn * sizeof(PRECISION));
-  for (m = 0; m < zd -> dn; m++) zd -> a[m] = (PRECISION) d -> a[m];
+  zd -> a = (ZOLO_PRECISION*) malloc(zd -> dn * sizeof(ZOLO_PRECISION));
+  for (m = 0; m < zd -> dn; m++) zd -> a[m] = (ZOLO_PRECISION) d -> a[m];
   free(d -> a);
 
-  zd -> ap = (PRECISION*) malloc(zd -> dd * sizeof(PRECISION));
-  for (m = 0; m < zd -> dd; m++) zd -> ap[m] = (PRECISION) d -> ap[m];
+  zd -> ap = (ZOLO_PRECISION*) malloc(zd -> dd * sizeof(ZOLO_PRECISION));
+  for (m = 0; m < zd -> dd; m++) zd -> ap[m] = (ZOLO_PRECISION) d -> ap[m];
   free(d -> ap);
 
-  zd -> alpha = (PRECISION*) malloc(zd -> da * sizeof(PRECISION));
-  for (m = 0; m < zd -> da; m++) zd -> alpha[m] = (PRECISION) d -> alpha[m];
+  zd -> alpha = (ZOLO_PRECISION*) malloc(zd -> da * sizeof(ZOLO_PRECISION));
+  for (m = 0; m < zd -> da; m++) zd -> alpha[m] = (ZOLO_PRECISION) d -> alpha[m];
   free(d -> alpha);
 
-  zd -> beta = (PRECISION*) malloc(zd -> db * sizeof(PRECISION));
-  for (m = 0; m < zd -> db; m++) zd -> beta[m] = (PRECISION) d -> beta[m];
+  zd -> beta = (ZOLO_PRECISION*) malloc(zd -> db * sizeof(ZOLO_PRECISION));
+  for (m = 0; m < zd -> db; m++) zd -> beta[m] = (ZOLO_PRECISION) d -> beta[m];
   free(d -> beta);
 
-  zd -> gamma = (PRECISION*) malloc(zd -> n * sizeof(PRECISION));
-  for (m = 0; m < zd -> n; m++) zd -> gamma[m] = (PRECISION) d -> gamma[m];
+  zd -> gamma = (ZOLO_PRECISION*) malloc(zd -> n * sizeof(ZOLO_PRECISION));
+  for (m = 0; m < zd -> n; m++) zd -> gamma[m] = (ZOLO_PRECISION) d -> gamma[m];
   free(d -> gamma);
 
   free(d);
@@ -523,17 +523,17 @@ NAMESPACE_END(Grid);
 #ifdef TEST
 
 #undef ZERO
-#define ZERO ((PRECISION) 0)
+#define ZERO ((ZOLO_PRECISION) 0)
 #undef ONE
-#define ONE ((PRECISION) 1)
+#define ONE ((ZOLO_PRECISION) 1)
 #undef TWO
-#define TWO ((PRECISION) 2)
+#define TWO ((ZOLO_PRECISION) 2)
 
 /* Evaluate the rational approximation R(x) using the factored form */
 
-static PRECISION zolotarev_eval(PRECISION x, zolotarev_data* rdata) {
+static ZOLO_PRECISION zolotarev_eval(ZOLO_PRECISION x, zolotarev_data* rdata) {
   int m;
-  PRECISION R;
+  ZOLO_PRECISION R;
 
   if (rdata -> type == 0) {
     R = rdata -> A * x;
@@ -551,9 +551,9 @@ static PRECISION zolotarev_eval(PRECISION x, zolotarev_data* rdata) {
 
 /* Evaluate the rational approximation R(x) using the partial fraction form */
 
-static PRECISION zolotarev_partfrac_eval(PRECISION x, zolotarev_data* rdata) {
+static ZOLO_PRECISION zolotarev_partfrac_eval(ZOLO_PRECISION x, zolotarev_data* rdata) {
   int m;
-  PRECISION R = rdata -> alpha[rdata -> da - 1];
+  ZOLO_PRECISION R = rdata -> alpha[rdata -> da - 1];
   for (m = 0; m < rdata -> dd; m++)
     R += rdata -> alpha[m] / (x * x - rdata -> ap[m]);
   if (rdata -> type == 1) R += rdata -> alpha[rdata -> dd] / (x * x);
@@ -568,18 +568,18 @@ static PRECISION zolotarev_partfrac_eval(PRECISION x, zolotarev_data* rdata) {
  * non-signalling overflow this will work correctly since 1/(1/0) = 1/INF = 0,
  * but with signalling overflow you will get an error message. */
 
-static PRECISION zolotarev_contfrac_eval(PRECISION x, zolotarev_data* rdata) {
+static ZOLO_PRECISION zolotarev_contfrac_eval(ZOLO_PRECISION x, zolotarev_data* rdata) {
   int m;
-  PRECISION R = rdata -> beta[0] * x;
+  ZOLO_PRECISION R = rdata -> beta[0] * x;
   for (m = 1; m < rdata -> db; m++) R = rdata -> beta[m] * x + ONE / R;
   return R;
 }    
 
 /* Evaluate the rational approximation R(x) using Cayley form */
 
-static PRECISION zolotarev_cayley_eval(PRECISION x, zolotarev_data* rdata) {
+static ZOLO_PRECISION zolotarev_cayley_eval(ZOLO_PRECISION x, zolotarev_data* rdata) {
   int m;
-  PRECISION T;
+  ZOLO_PRECISION T;
 
   T = rdata -> type == 0 ? ONE : -ONE;
   for (m = 0; m < rdata -> n; m++)
@@ -607,7 +607,7 @@ int main(int argc, char** argv) {
   int m, n, plotpts = 5000, type = 0;
   float eps, x, ypferr, ycferr, ycaylerr, maxypferr, maxycferr, maxycaylerr;
   zolotarev_data *rdata;
-  PRECISION y;
+  ZOLO_PRECISION y;
   FILE *plot_function, *plot_error, 
     *plot_partfrac, *plot_contfrac, *plot_cayley;
 
@@ -626,13 +626,13 @@ int main(int argc, char** argv) {
   }
 
   rdata = type == 2 
-    ? higham((PRECISION) eps, n) 
-    : zolotarev((PRECISION) eps, n, type);
+    ? higham((ZOLO_PRECISION) eps, n) 
+    : zolotarev((ZOLO_PRECISION) eps, n, type);
 
   printf("Zolotarev Test: R(epsilon = %g, n = %d, type = %d)\n\t" 
 	 STRINGIFY(VERSION) "\n\t" STRINGIFY(HVERSION)
 	 "\n\tINTERNAL_PRECISION = " STRINGIFY(INTERNAL_PRECISION)
-	 "\tPRECISION = " STRINGIFY(PRECISION)
+	 "\tZOLO_PRECISION = " STRINGIFY(ZOLO_PRECISION)
 	 "\n\n\tRational approximation of degree (%d,%d), %s at x = 0\n"
 	 "\tDelta = %g (maximum error)\n\n"
 	 "\tA = %g (overall factor)\n",
@@ -681,15 +681,15 @@ int main(int argc, char** argv) {
     x = 2.4 * (float) m / plotpts - 1.2;
     if (rdata -> type == 0 || fabs(x) * (float) plotpts > 1.0) {
       /* skip x = 0 for type 1, as R(0) is singular */
-      y = zolotarev_eval((PRECISION) x, rdata);
+      y = zolotarev_eval((ZOLO_PRECISION) x, rdata);
       fprintf(plot_function, "%g %g\n", x, (float) y);
       fprintf(plot_error, "%g %g\n",
 	      x, (float)((y - ((x > 0.0 ? ONE : -ONE))) / rdata -> Delta));
-      ypferr = (float)((zolotarev_partfrac_eval((PRECISION) x, rdata) - y)
+      ypferr = (float)((zolotarev_partfrac_eval((ZOLO_PRECISION) x, rdata) - y)
 		       / rdata -> Delta);
-      ycferr = (float)((zolotarev_contfrac_eval((PRECISION) x, rdata) - y)
+      ycferr = (float)((zolotarev_contfrac_eval((ZOLO_PRECISION) x, rdata) - y)
 		       / rdata -> Delta);
-      ycaylerr = (float)((zolotarev_cayley_eval((PRECISION) x, rdata) - y)
+      ycaylerr = (float)((zolotarev_cayley_eval((ZOLO_PRECISION) x, rdata) - y)
 		       / rdata -> Delta);
       if (fabs(x) < 1.0 && fabs(x) > rdata -> epsilon) {
 	maxypferr = MAX(maxypferr, fabs(ypferr));

Grid/algorithms/approx/Zolotarev.h

@@ -9,10 +9,10 @@ NAMESPACE_BEGIN(Approx);
 #define HVERSION Header Time-stamp: <14-OCT-2004 09:26:51.00 adk@MISSCONTRARY>
 
 #ifndef ZOLOTAREV_INTERNAL
-#ifndef PRECISION
-#define PRECISION double
+#ifndef ZOLO_PRECISION
+#define ZOLO_PRECISION double
 #endif
-#define ZPRECISION PRECISION
+#define ZPRECISION ZOLO_PRECISION
 #define ZOLOTAREV_DATA zolotarev_data
 #endif
 
@@ -77,8 +77,8 @@ typedef struct {
  * zolotarev_data structure. The arguments must satisfy the constraints that
  * epsilon > 0, n > 0, and type = 0 or 1. */
 
-ZOLOTAREV_DATA* higham(PRECISION epsilon, int n) ;
-ZOLOTAREV_DATA* zolotarev(PRECISION epsilon, int n, int type);
+ZOLOTAREV_DATA* higham(ZOLO_PRECISION epsilon, int n) ;
+ZOLOTAREV_DATA* zolotarev(ZOLO_PRECISION epsilon, int n, int type);
 void zolotarev_free(zolotarev_data *zdata);
 #endif
 
@@ -86,3 +86,4 @@ void zolotarev_free(zolotarev_data *zdata);
 NAMESPACE_END(Approx);
 NAMESPACE_END(Grid);
 #endif
+

Grid/algorithms/blas/BatchedBlas.cc

@@ -1,8 +1,8 @@
-    /*************************************************************************************
+/*************************************************************************************
 
     Grid physics library, www.github.com/paboyle/Grid 
 
-    Source file: Grid/algorithms/multigrid/MultiGrid.h
+    Source file: BatchedBlas.h
 
     Copyright (C) 2023
 
@@ -23,13 +23,12 @@ Author: Peter Boyle <pboyle@bnl.gov>
     51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
 
     See the full license in the file "LICENSE" in the top level distribution directory
-    *************************************************************************************/
-    /*  END LEGAL */
-#pragma once
+*************************************************************************************/
+/*  END LEGAL */
+#include <Grid/GridCore.h>
+#include <Grid/algorithms/blas/BatchedBlas.h>
+NAMESPACE_BEGIN(Grid);
+gridblasHandle_t GridBLAS::gridblasHandle;
+int              GridBLAS::gridblasInit;
+NAMESPACE_END(Grid);
 
-#include <Grid/algorithms/multigrid/Aggregates.h>
-#include <Grid/algorithms/multigrid/Geometry.h>
-#include <Grid/algorithms/multigrid/BatchedBlas.h>
-#include <Grid/algorithms/multigrid/CoarsenedMatrix.h>
-#include <Grid/algorithms/multigrid/GeneralCoarsenedMatrix.h>
-#include <Grid/algorithms/multigrid/GeneralCoarsenedMatrixMultiRHS.h>

Grid/algorithms/blas/BatchedBlas.h

@@ -31,12 +31,17 @@ Author: Peter Boyle <pboyle@bnl.gov>
 #include <hipblas/hipblas.h>
 #endif
 #ifdef GRID_CUDA
-#include <hipblas/hipblas.h>
+#include <cublas_v2.h>
 #endif
 #ifdef GRID_SYCL
-#error // need oneMKL version
+#include <oneapi/mkl.hpp>
+#endif
+#if 0
+#define GRID_ONE_MKL
+#endif
+#ifdef GRID_ONE_MKL
+#include <oneapi/mkl.hpp>
 #endif
-
 ///////////////////////////////////////////////////////////////////////	  
 // Need to rearrange lattice data to be in the right format for a
 // batched multiply. Might as well make these static, dense packed
@@ -46,18 +51,24 @@ NAMESPACE_BEGIN(Grid);
   typedef hipblasHandle_t gridblasHandle_t;
 #endif
 #ifdef GRID_CUDA
-  typedef cudablasHandle_t gridblasHandle_t;
+  typedef cublasHandle_t gridblasHandle_t;
 #endif
 #ifdef GRID_SYCL
-  typedef int32_t gridblasHandle_t;
+  typedef cl::sycl::queue *gridblasHandle_t;
 #endif
-#if !defined(GRID_SYCL) && !defined(GRID_CUDA) && !defined(GRID_HIP)
+#ifdef GRID_ONE_MKL
+  typedef cl::sycl::queue *gridblasHandle_t;
+#endif
+#if !defined(GRID_SYCL) && !defined(GRID_CUDA) && !defined(GRID_HIP) && !defined(GRID_ONE_MKL)
   typedef int32_t gridblasHandle_t;
 #endif
 
+enum GridBLASOperation_t { GridBLAS_OP_N, GridBLAS_OP_T, GridBLAS_OP_C } ;
+
 class GridBLAS {
 public:
 
+  
   static gridblasHandle_t gridblasHandle;
   static int            gridblasInit;
   
@@ -67,13 +78,21 @@ public:
 #ifdef GRID_CUDA
       std::cout << "cublasCreate"<<std::endl;
       cublasCreate(&gridblasHandle);
+      cublasSetPointerMode(gridblasHandle, CUBLAS_POINTER_MODE_DEVICE);
 #endif
 #ifdef GRID_HIP
       std::cout << "hipblasCreate"<<std::endl;
       hipblasCreate(&gridblasHandle);
 #endif
 #ifdef GRID_SYCL
+      gridblasHandle = theGridAccelerator;
 #endif
+#ifdef GRID_ONE_MKL
+      cl::sycl::cpu_selector selector;
+      cl::sycl::device selectedDevice { selector };
+      gridblasHandle =new sycl::queue (selectedDevice);
+#endif
+      gridblasInit=1;
     }
   }
   
@@ -107,35 +126,9 @@ public:
 #ifdef GRID_SYCL
     accelerator_barrier();
 #endif
-  }
-  void benchmark(int nbasis, int nrhs, int coarseVol, int nstencil)
-  {
-    int32_t N_A = nbasis*nbasis*coarseVol*nstencil;
-    int32_t N_B = nbasis*nrhs*coarseVol*nstencil; // One leg of stencil at a time
-    int32_t N_C = nbasis*nrhs*coarseVol*nstencil; 
-    deviceVector<ComplexD> A(N_A); acceleratorMemSet(&A[0],0,N_A*sizeof(ComplexD));
-    deviceVector<ComplexD> B(N_B); acceleratorMemSet(&B[0],0,N_B*sizeof(ComplexD));
-    deviceVector<ComplexD> C(N_C); acceleratorMemSet(&C[0],0,N_C*sizeof(ComplexD));
-    ComplexD alpha(1.0);
-    ComplexD beta (1.0);
-    for(int i=0;i<10;i++){
-      RealD t0 = usecond();
-      for(int s=0;s<nstencil;s++){
-	gemmStridedBatched(nbasis,nrhs,nbasis,
-			   alpha,
-			   &A[0], // m x k 
-			   &B[0], // k x n
-			   beta, 
-			   &C[0], // m x n
-			   coarseVol);
-      }
-      synchronise();
-      RealD t1 = usecond();
-      RealD flops = 8.0*nbasis*nbasis*nrhs*coarseVol*nstencil;
-      RealD bytes = 1.0*sizeof(ComplexD)*(nbasis*nbasis+nbasis*nrhs*3)*coarseVol*nstencil;
-      std::cout << " batched Blas call "<<i<<" "<< flops/(t1-t0)/1.e3 <<" GF/s "<<(t1-t0)/1.e3<<" ms "<<std::endl;
-      std::cout << " batched Blas call "<<i<<" "<< bytes/(t1-t0)/1.e3 <<" GB/s "<<(t1-t0)/1.e3<<" ms "<<std::endl;
-    }
+#ifdef GRID_ONE_MKL
+    gridblasHandle->wait();
+#endif
   }
   
   void gemmBatched(int m,int n, int k,
@@ -144,26 +137,102 @@ public:
 		   deviceVector<ComplexD*> &Bkn,
 		   ComplexD beta,
 		   deviceVector<ComplexD*> &Cmn)
+  {
+    gemmBatched(GridBLAS_OP_N,GridBLAS_OP_N,
+		m,n,k,
+		alpha,
+		Amk,
+		Bkn,
+		beta,
+		Cmn);
+  }
+  void gemmBatched(int m,int n, int k,
+		   ComplexF alpha,
+		   deviceVector<ComplexF*> &Amk,  // pointer list to matrices
+		   deviceVector<ComplexF*> &Bkn,
+		   ComplexF beta,
+		   deviceVector<ComplexF*> &Cmn)
+  {
+    gemmBatched(GridBLAS_OP_N,GridBLAS_OP_N,
+		m,n,k,
+		alpha,
+		Amk,
+		Bkn,
+		beta,
+		Cmn);
+  }
+  void gemmBatched(int m,int n, int k,
+		   RealD alpha,
+		   deviceVector<RealD*> &Amk,  // pointer list to matrices
+		   deviceVector<RealD*> &Bkn,
+		   RealD beta,
+		   deviceVector<RealD*> &Cmn)
+  {
+    gemmBatched(GridBLAS_OP_N,GridBLAS_OP_N,
+		m,n,k,
+		alpha,
+		Amk,
+		Bkn,
+		beta,
+		Cmn);
+  }
+  void gemmBatched(int m,int n, int k,
+		   RealF alpha,
+		   deviceVector<RealF*> &Amk,  // pointer list to matrices
+		   deviceVector<RealF*> &Bkn,
+		   RealF beta,
+		   deviceVector<RealF*> &Cmn)
+  {
+    gemmBatched(GridBLAS_OP_N,GridBLAS_OP_N,
+		m,n,k,
+		alpha,
+		Amk,
+		Bkn,
+		beta,
+		Cmn);
+  }
+
+  void gemmBatched(GridBLASOperation_t OpA,
+		   GridBLASOperation_t OpB,
+		   int m,int n, int k,
+		   ComplexD alpha,
+		   deviceVector<ComplexD*> &Amk,  // pointer list to matrices
+		   deviceVector<ComplexD*> &Bkn,
+		   ComplexD beta,
+		   deviceVector<ComplexD*> &Cmn)
   {
     RealD t2=usecond();
     int32_t batchCount = Amk.size();
-    // Use C-row major storage, so transpose calls
+    assert(Bkn.size()==batchCount);
+    assert(Cmn.size()==batchCount);
+
     int lda = m; // m x k column major
     int ldb = k; // k x n column major
     int ldc = m; // m x b column major
+    if(OpA!=GridBLAS_OP_N)
+      lda = k;
+    if(OpB!=GridBLAS_OP_N)
+      ldb = n;
+    
     static deviceVector<ComplexD> alpha_p(1);
     static deviceVector<ComplexD> beta_p(1);
     // can prestore the 1 and the zero on device
     acceleratorCopyToDevice((void *)&alpha,(void *)&alpha_p[0],sizeof(ComplexD));
     acceleratorCopyToDevice((void *)&beta ,(void *)&beta_p[0],sizeof(ComplexD));
     RealD t0=usecond();
-    //       std::cout << "hipblasZgemmBatched mnk  "<<m<<","<<n<<","<<k<<" count "<<batchCount<<std::endl;
-    assert(Bkn.size()==batchCount);
-    assert(Cmn.size()==batchCount);
+    //    std::cout << "ZgemmBatched mnk  "<<m<<","<<n<<","<<k<<" count "<<batchCount<<std::endl;
 #ifdef GRID_HIP
+    hipblasOperation_t hOpA;
+    hipblasOperation_t hOpB;
+    if ( OpA == GridBLAS_OP_N ) hOpA = HIPBLAS_OP_N;
+    if ( OpA == GridBLAS_OP_T ) hOpA = HIPBLAS_OP_T;
+    if ( OpA == GridBLAS_OP_C ) hOpA = HIPBLAS_OP_C;
+    if ( OpB == GridBLAS_OP_N ) hOpB = HIPBLAS_OP_N;
+    if ( OpB == GridBLAS_OP_T ) hOpB = HIPBLAS_OP_T;
+    if ( OpB == GridBLAS_OP_C ) hOpB = HIPBLAS_OP_C;
     auto err = hipblasZgemmBatched(gridblasHandle,
-				   HIPBLAS_OP_N,
-				   HIPBLAS_OP_N,
+				   hOpA,
+				   hOpB,
 				   m,n,k,
 				   (hipblasDoubleComplex *) &alpha_p[0],
 				   (hipblasDoubleComplex **)&Amk[0], lda,
@@ -175,9 +244,17 @@ public:
     assert(err==HIPBLAS_STATUS_SUCCESS);
 #endif
 #ifdef GRID_CUDA
+    cublasOperation_t hOpA;
+    cublasOperation_t hOpB;
+    if ( OpA == GridBLAS_OP_N ) hOpA = CUBLAS_OP_N;
+    if ( OpA == GridBLAS_OP_T ) hOpA = CUBLAS_OP_T;
+    if ( OpA == GridBLAS_OP_C ) hOpA = CUBLAS_OP_C;
+    if ( OpB == GridBLAS_OP_N ) hOpB = CUBLAS_OP_N;
+    if ( OpB == GridBLAS_OP_T ) hOpB = CUBLAS_OP_T;
+    if ( OpB == GridBLAS_OP_C ) hOpB = CUBLAS_OP_C;
     auto err = cublasZgemmBatched(gridblasHandle,
-				  CUBLAS_OP_N,
-				  CUBLAS_OP_N,
+				  hOpA,
+				  hOpB,
 				  m,n,k,
 				  (cuDoubleComplex *) &alpha_p[0],
 				  (cuDoubleComplex **)&Amk[0], lda,
@@ -193,26 +270,32 @@ public:
 #endif
 #if !defined(GRID_SYCL) && !defined(GRID_CUDA) && !defined(GRID_HIP)
     // Need a default/reference implementation
+    int sda = lda*k;
+    int sdb = ldb*k;
+    int sdc = ldc*n;
     for (int p = 0; p < batchCount; ++p) {
       for (int mm = 0; mm < m; ++mm) {
 	for (int nn = 0; nn < n; ++nn) {
 	  ComplexD c_mn(0.0);
-	  for (int kk = 0; kk < k, ++kk)
-	    c_mn += Amk[mm + kk*lda + p*sda] * Bkn[kk + nn*ldb + p*sdb];
-	  Cmn[mm + nn*ldc + p*sdc] =  (*alpha_p)*c_mn + (*beta_p)*Cmn[mm + nn*ldc + p*sdc];
+	  for (int kk = 0; kk < k; ++kk)
+	    c_mn += Amk[p][mm + kk*lda ] * Bkn[p][kk + nn*ldb];
+	  Cmn[p][mm + nn*ldc] =  (alpha)*c_mn + (beta)*Cmn[p][mm + nn*ldc ];
 	}
       }
     }
 #endif
+    //    synchronise();
      RealD t1=usecond();
      RealD flops = 8.0*m*n*k*batchCount;
      RealD bytes = 1.0*sizeof(ComplexD)*(m*k+k*n+m*n)*batchCount;
-     //     std::cout <<GridLogPerformance<< " batched Blas copy "<<(t0-t2)/1.e3 <<" ms "<<std::endl;
-     //     std::cout <<GridLogPerformance<< " batched Blas call "<<m<<","<<n<<","<<k<<" "<< flops/(t1-t0)/1.e3 <<" GF/s "<<(t1-t0)/1.e3<<" ms "<<std::endl;
-     //     std::cout <<GridLogPerformance<< " batched Blas call "<<m<<","<<n<<","<<k<<" "<< bytes/(t1-t0)/1.e3 <<" GB/s "<<(t1-t0)/1.e3<<" ms "<<std::endl;
+     //     std::cout <<GridLogMessage<< " batched Blas copy "<<(t0-t2)/1.e3 <<" ms "<<std::endl;
+     //     std::cout <<GridLogMessage<< " batched Blas zGemm call "<<m<<","<<n<<","<<k<<" "<< flops/(t1-t0)/1.e3 <<" GF/s "<<(t1-t0)/1.e3<<" ms "<<std::endl;
+     //     std::cout <<GridLogMessage<< " batched Blas zGemm call "<<m<<","<<n<<","<<k<<" "<< bytes/(t1-t0)/1.e3 <<" GB/s "<<(t1-t0)/1.e3<<" ms "<<std::endl;
   }
 
-  void gemmBatched(int m,int n, int k,
+  void gemmBatched(GridBLASOperation_t OpA,
+		   GridBLASOperation_t OpB,
+		   int m,int n, int k,
 		   ComplexF alpha,
 		   deviceVector<ComplexF*> &Amk,  // pointer list to matrices
 		   deviceVector<ComplexF*> &Bkn,
@@ -221,23 +304,35 @@ public:
   {
     RealD t2=usecond();
     int32_t batchCount = Amk.size();
-    // Use C-row major storage, so transpose calls
+
     int lda = m; // m x k column major
     int ldb = k; // k x n column major
     int ldc = m; // m x b column major
+    if(OpA!=GridBLAS_OP_N)
+      lda = k;
+    if(OpB!=GridBLAS_OP_N)
+      ldb = n;
     static deviceVector<ComplexF> alpha_p(1);
     static deviceVector<ComplexF> beta_p(1);
     // can prestore the 1 and the zero on device
     acceleratorCopyToDevice((void *)&alpha,(void *)&alpha_p[0],sizeof(ComplexF));
     acceleratorCopyToDevice((void *)&beta ,(void *)&beta_p[0],sizeof(ComplexF));
     RealD t0=usecond();
-    //       std::cout << "hipblasZgemmBatched mnk  "<<m<<","<<n<<","<<k<<" count "<<batchCount<<std::endl;
+
     assert(Bkn.size()==batchCount);
     assert(Cmn.size()==batchCount);
 #ifdef GRID_HIP
+    hipblasOperation_t hOpA;
+    hipblasOperation_t hOpB;
+    if ( OpA == GridBLAS_OP_N ) hOpA = HIPBLAS_OP_N;
+    if ( OpA == GridBLAS_OP_T ) hOpA = HIPBLAS_OP_T;
+    if ( OpA == GridBLAS_OP_C ) hOpA = HIPBLAS_OP_C;
+    if ( OpB == GridBLAS_OP_N ) hOpB = HIPBLAS_OP_N;
+    if ( OpB == GridBLAS_OP_T ) hOpB = HIPBLAS_OP_T;
+    if ( OpB == GridBLAS_OP_C ) hOpB = HIPBLAS_OP_C;
     auto err = hipblasCgemmBatched(gridblasHandle,
-				   HIPBLAS_OP_N,
-				   HIPBLAS_OP_N,
+				   hOpA,
+				   hOpB,
 				   m,n,k,
 				   (hipblasComplex *) &alpha_p[0],
 				   (hipblasComplex **)&Amk[0], lda,
@@ -245,13 +340,21 @@ public:
 				   (hipblasComplex *) &beta_p[0],
 				   (hipblasComplex **)&Cmn[0], ldc,
 				   batchCount);
-    //	 std::cout << " hipblas return code " <<(int)err<<std::endl;
+
     assert(err==HIPBLAS_STATUS_SUCCESS);
 #endif
 #ifdef GRID_CUDA
+    cublasOperation_t hOpA;
+    cublasOperation_t hOpB;
+    if ( OpA == GridBLAS_OP_N ) hOpA = CUBLAS_OP_N;
+    if ( OpA == GridBLAS_OP_T ) hOpA = CUBLAS_OP_T;
+    if ( OpA == GridBLAS_OP_C ) hOpA = CUBLAS_OP_C;
+    if ( OpB == GridBLAS_OP_N ) hOpB = CUBLAS_OP_N;
+    if ( OpB == GridBLAS_OP_T ) hOpB = CUBLAS_OP_T;
+    if ( OpB == GridBLAS_OP_C ) hOpB = CUBLAS_OP_C;
     auto err = cublasCgemmBatched(gridblasHandle,
-				  CUBLAS_OP_N,
-				  CUBLAS_OP_N,
+				  hOpA,
+				  hOpB,
 				  m,n,k,
 				  (cuComplex *) &alpha_p[0],
 				  (cuComplex **)&Amk[0], lda,
@@ -266,14 +369,19 @@ public:
 #warning "oneMKL implementation not built "
 #endif
 #if !defined(GRID_SYCL) && !defined(GRID_CUDA) && !defined(GRID_HIP)
+    int sda = lda*k;
+    int sdb = ldb*k;
+    int sdc = ldc*n;
+    ComplexF alphaf(real(alpha),imag(alpha));
+    ComplexF betaf(real(beta),imag(beta));
     // Need a default/reference implementation
     for (int p = 0; p < batchCount; ++p) {
       for (int mm = 0; mm < m; ++mm) {
 	for (int nn = 0; nn < n; ++nn) {
-	  ComplexD c_mn(0.0);
-	  for (int kk = 0; kk < k, ++kk)
-	    c_mn += Amk[mm + kk*lda + p*sda] * Bkn[kk + nn*ldb + p*sdb];
-	  Cmn[mm + nn*ldc + p*sdc] =  (*alpha_p)*c_mn + (*beta_p)*Cmn[mm + nn*ldc + p*sdc];
+	  ComplexF c_mn(0.0);
+	  for (int kk = 0; kk < k; ++kk)
+	    c_mn += Amk[p][mm + kk*lda ] * Bkn[p][kk + nn*ldb];
+	  Cmn[p][mm + nn*ldc] =  (alphaf)*c_mn + (betaf)*Cmn[p][mm + nn*ldc ];
 	}
       }
     }
@@ -281,16 +389,15 @@ public:
      RealD t1=usecond();
      RealD flops = 8.0*m*n*k*batchCount;
      RealD bytes = 1.0*sizeof(ComplexF)*(m*k+k*n+m*n)*batchCount;
-     //     std::cout <<GridLogPerformance<< " batched Blas copy "<<(t0-t2)/1.e3 <<" ms "<<std::endl;
-     //     std::cout <<GridLogPerformance<< " batched Blas call "<<m<<","<<n<<","<<k<<" "<< flops/(t1-t0)/1.e3 <<" GF/s "<<(t1-t0)/1.e3<<" ms "<<std::endl;
-     //     std::cout <<GridLogPerformance<< " batched Blas call "<<m<<","<<n<<","<<k<<" "<< bytes/(t1-t0)/1.e3 <<" GB/s "<<(t1-t0)/1.e3<<" ms "<<std::endl;
   }
   
   ///////////////////////////////////////////////////////////////////////////
   // Single precision real GEMM
   ///////////////////////////////////////////////////////////////////////////
 
-  void gemmBatched(int m,int n, int k,
+  void gemmBatched(GridBLASOperation_t OpA,
+		   GridBLASOperation_t OpB,
+		   int m,int n, int k,
 		   RealF alpha,
 		   deviceVector<RealF*> &Amk,  // pointer list to matrices
 		   deviceVector<RealF*> &Bkn,
@@ -299,23 +406,35 @@ public:
   {
     RealD t2=usecond();
     int32_t batchCount = Amk.size();
-    // Use C-row major storage, so transpose calls
+
     int lda = m; // m x k column major
     int ldb = k; // k x n column major
     int ldc = m; // m x b column major
+    if(OpA!=GridBLAS_OP_N)
+      lda = k;
+    if(OpB!=GridBLAS_OP_N)
+      ldb = n;
     static deviceVector<RealF> alpha_p(1);
     static deviceVector<RealF> beta_p(1);
     // can prestore the 1 and the zero on device
     acceleratorCopyToDevice((void *)&alpha,(void *)&alpha_p[0],sizeof(RealF));
     acceleratorCopyToDevice((void *)&beta ,(void *)&beta_p[0],sizeof(RealF));
     RealD t0=usecond();
-    //       std::cout << "hipblasZgemmBatched mnk  "<<m<<","<<n<<","<<k<<" count "<<batchCount<<std::endl;
+
     assert(Bkn.size()==batchCount);
     assert(Cmn.size()==batchCount);
 #ifdef GRID_HIP
+    hipblasOperation_t hOpA;
+    hipblasOperation_t hOpB;
+    if ( OpA == GridBLAS_OP_N ) hOpA = HIPBLAS_OP_N;
+    if ( OpA == GridBLAS_OP_T ) hOpA = HIPBLAS_OP_T;
+    if ( OpA == GridBLAS_OP_C ) hOpA = HIPBLAS_OP_C;
+    if ( OpB == GridBLAS_OP_N ) hOpB = HIPBLAS_OP_N;
+    if ( OpB == GridBLAS_OP_T ) hOpB = HIPBLAS_OP_T;
+    if ( OpB == GridBLAS_OP_C ) hOpB = HIPBLAS_OP_C;
     auto err = hipblasSgemmBatched(gridblasHandle,
-				   HIPBLAS_OP_N,
-				   HIPBLAS_OP_N,
+				   hOpA,
+				   hOpB,
 				   m,n,k,
 				   (float *) &alpha_p[0],
 				   (float **)&Amk[0], lda,
@@ -326,9 +445,17 @@ public:
     assert(err==HIPBLAS_STATUS_SUCCESS);
 #endif
 #ifdef GRID_CUDA
+    cublasOperation_t hOpA;
+    cublasOperation_t hOpB;
+    if ( OpA == GridBLAS_OP_N ) hOpA = CUBLAS_OP_N;
+    if ( OpA == GridBLAS_OP_T ) hOpA = CUBLAS_OP_T;
+    if ( OpA == GridBLAS_OP_C ) hOpA = CUBLAS_OP_C;
+    if ( OpB == GridBLAS_OP_N ) hOpB = CUBLAS_OP_N;
+    if ( OpB == GridBLAS_OP_T ) hOpB = CUBLAS_OP_T;
+    if ( OpB == GridBLAS_OP_C ) hOpB = CUBLAS_OP_C;
     auto err = cublasSgemmBatched(gridblasHandle,
-				  CUBLAS_OP_N,
-				  CUBLAS_OP_N,
+				  hOpA,
+				  hOpB,
 				  m,n,k,
 				  (float *) &alpha_p[0],
 				  (float **)&Amk[0], lda,
@@ -343,14 +470,17 @@ public:
 #warning "oneMKL implementation not built "
 #endif
 #if !defined(GRID_SYCL) && !defined(GRID_CUDA) && !defined(GRID_HIP)
+    int sda = lda*k;
+    int sdb = ldb*k;
+    int sdc = ldc*n;
     // Need a default/reference implementation
     for (int p = 0; p < batchCount; ++p) {
       for (int mm = 0; mm < m; ++mm) {
 	for (int nn = 0; nn < n; ++nn) {
 	  RealD c_mn(0.0);
-	  for (int kk = 0; kk < k, ++kk)
-	    c_mn += Amk[mm + kk*lda + p*sda] * Bkn[kk + nn*ldb + p*sdb];
-	  Cmn[mm + nn*ldc + p*sdc] =  (*alpha_p)*c_mn + (*beta_p)*Cmn[mm + nn*ldc + p*sdc];
+	  for (int kk = 0; kk < k; ++kk)
+	    c_mn += Amk[p][mm + kk*lda ] * Bkn[p][kk + nn*ldb];
+	  Cmn[p][mm + nn*ldc] =  (alpha)*c_mn + (beta)*Cmn[p][mm + nn*ldc ];
 	}
       }
     }
@@ -358,9 +488,6 @@ public:
      RealD t1=usecond();
      RealD flops = 2.0*m*n*k*batchCount;
      RealD bytes = 1.0*sizeof(RealF)*(m*k+k*n+m*n)*batchCount;
-     //     std::cout <<GridLogPerformance<< " batched Blas copy "<<(t0-t2)/1.e3 <<" ms "<<std::endl;
-     //     std::cout <<GridLogPerformance<< " batched Blas call "<<m<<","<<n<<","<<k<<" "<< flops/(t1-t0)/1.e3 <<" GF/s "<<(t1-t0)/1.e3<<" ms "<<std::endl;
-     //     std::cout <<GridLogPerformance<< " batched Blas call "<<m<<","<<n<<","<<k<<" "<< bytes/(t1-t0)/1.e3 <<" GB/s "<<(t1-t0)/1.e3<<" ms "<<std::endl;
   }
   
   
@@ -368,7 +495,9 @@ public:
   // Double precision real GEMM
   ///////////////////////////////////////////////////////////////////////////
 
-  void gemmBatched(int m,int n, int k,
+  void gemmBatched(GridBLASOperation_t OpA,
+		   GridBLASOperation_t OpB,
+		   int m,int n, int k,
 		   RealD alpha,
 		   deviceVector<RealD*> &Amk,  // pointer list to matrices
 		   deviceVector<RealD*> &Bkn,
@@ -377,20 +506,33 @@ public:
   {
     RealD t2=usecond();
     int32_t batchCount = Amk.size();
-    // Use C-row major storage, so transpose calls
+
     int lda = m; // m x k column major
     int ldb = k; // k x n column major
     int ldc = m; // m x b column major
+    if(OpA!=GridBLAS_OP_N)
+      lda = k;
+    if(OpB!=GridBLAS_OP_N)
+      ldb = n;
+    
     static deviceVector<RealD> alpha_p(1);
     static deviceVector<RealD> beta_p(1);
     // can prestore the 1 and the zero on device
     acceleratorCopyToDevice((void *)&alpha,(void *)&alpha_p[0],sizeof(RealD));
     acceleratorCopyToDevice((void *)&beta ,(void *)&beta_p[0],sizeof(RealD));
     RealD t0=usecond();
-    //       std::cout << "hipblasZgemmBatched mnk  "<<m<<","<<n<<","<<k<<" count "<<batchCount<<std::endl;
+
     assert(Bkn.size()==batchCount);
     assert(Cmn.size()==batchCount);
 #ifdef GRID_HIP
+    hipblasOperation_t hOpA;
+    hipblasOperation_t hOpB;
+    if ( OpA == GridBLAS_OP_N ) hOpA = HIPBLAS_OP_N;
+    if ( OpA == GridBLAS_OP_T ) hOpA = HIPBLAS_OP_T;
+    if ( OpA == GridBLAS_OP_C ) hOpA = HIPBLAS_OP_C;
+    if ( OpB == GridBLAS_OP_N ) hOpB = HIPBLAS_OP_N;
+    if ( OpB == GridBLAS_OP_T ) hOpB = HIPBLAS_OP_T;
+    if ( OpB == GridBLAS_OP_C ) hOpB = HIPBLAS_OP_C;
     auto err = hipblasDgemmBatched(gridblasHandle,
 				   HIPBLAS_OP_N,
 				   HIPBLAS_OP_N,
@@ -404,9 +546,17 @@ public:
     assert(err==HIPBLAS_STATUS_SUCCESS);
 #endif
 #ifdef GRID_CUDA
+    cublasOperation_t hOpA;
+    cublasOperation_t hOpB;
+    if ( OpA == GridBLAS_OP_N ) hOpA = CUBLAS_OP_N;
+    if ( OpA == GridBLAS_OP_T ) hOpA = CUBLAS_OP_T;
+    if ( OpA == GridBLAS_OP_C ) hOpA = CUBLAS_OP_C;
+    if ( OpB == GridBLAS_OP_N ) hOpB = CUBLAS_OP_N;
+    if ( OpB == GridBLAS_OP_T ) hOpB = CUBLAS_OP_T;
+    if ( OpB == GridBLAS_OP_C ) hOpB = CUBLAS_OP_C;
     auto err = cublasDgemmBatched(gridblasHandle,
-				  CUBLAS_OP_N,
-				  CUBLAS_OP_N,
+				  hOpA,
+				  hOpB,
 				  m,n,k,
 				  (double *) &alpha_p[0],
 				  (double **)&Amk[0], lda,
@@ -437,14 +587,17 @@ public:
 #warning "oneMKL implementation not built "
 #endif
 #if !defined(GRID_SYCL) && !defined(GRID_CUDA) && !defined(GRID_HIP)
+    int sda = lda*k;
+    int sdb = ldb*k;
+    int sdc = ldc*n;
     // Need a default/reference implementation
     for (int p = 0; p < batchCount; ++p) {
       for (int mm = 0; mm < m; ++mm) {
 	for (int nn = 0; nn < n; ++nn) {
 	  RealD c_mn(0.0);
-	  for (int kk = 0; kk < k, ++kk)
-	    c_mn += Amk[mm + kk*lda + p*sda] * Bkn[kk + nn*ldb + p*sdb];
-	  Cmn[mm + nn*ldc + p*sdc] =  (*alpha_p)*c_mn + (*beta_p)*Cmn[mm + nn*ldc + p*sdc];
+	  for (int kk = 0; kk < k; ++kk)
+	    c_mn += Amk[p][mm + kk*lda ] * Bkn[p][kk + nn*ldb];
+	  Cmn[p][mm + nn*ldc] =  (alpha)*c_mn + (beta)*Cmn[p][mm + nn*ldc ];
 	}
       }
     }
@@ -452,9 +605,6 @@ public:
      RealD t1=usecond();
      RealD flops = 2.0*m*n*k*batchCount;
      RealD bytes = 1.0*sizeof(RealD)*(m*k+k*n+m*n)*batchCount;
-     //     std::cout <<GridLogPerformance<< " batched Blas copy "<<(t0-t2)/1.e3 <<" ms "<<std::endl;
-     //     std::cout <<GridLogPerformance<< " batched Blas call "<<m<<","<<n<<","<<k<<" "<< flops/(t1-t0)/1.e3 <<" GF/s "<<(t1-t0)/1.e3<<" ms "<<std::endl;
-     //     std::cout <<GridLogPerformance<< " batched Blas call "<<m<<","<<n<<","<<k<<" "<< bytes/(t1-t0)/1.e3 <<" GB/s "<<(t1-t0)/1.e3<<" ms "<<std::endl;
   }
   
 
@@ -483,9 +633,10 @@ public:
     deviceVector<ComplexD> beta_p(1);
     acceleratorCopyToDevice((void *)&alpha,(void *)&alpha_p[0],sizeof(ComplexD));
     acceleratorCopyToDevice((void *)&beta ,(void *)&beta_p[0],sizeof(ComplexD));
-    std::cout << "blasZgemmStridedBatched mnk  "<<m<<","<<n<<","<<k<<" count "<<batchCount<<std::endl;
-    std::cout << "blasZgemmStridedBatched ld   "<<lda<<","<<ldb<<","<<ldc<<std::endl;
-    std::cout << "blasZgemmStridedBatched sd   "<<sda<<","<<sdb<<","<<sdc<<std::endl;
+
+    //    std::cout << "blasZgemmStridedBatched mnk  "<<m<<","<<n<<","<<k<<" count "<<batchCount<<std::endl;
+    //    std::cout << "blasZgemmStridedBatched ld   "<<lda<<","<<ldb<<","<<ldc<<std::endl;
+    //    std::cout << "blasZgemmStridedBatched sd   "<<sda<<","<<sdb<<","<<sdc<<std::endl;
 #ifdef GRID_HIP
     auto err = hipblasZgemmStridedBatched(gridblasHandle,
 					  HIPBLAS_OP_N,
@@ -511,24 +662,63 @@ public:
 			      (cuDoubleComplex *) Cmn, ldc, sdc,
 			      batchCount);
 #endif
-#ifdef GRID_SYCL
-     #warning "oneMKL implementation not made "
+#if defined(GRID_SYCL) || defined(GRID_ONE_MKL)
+    oneapi::mkl::blas::column_major::gemm_batch(*gridblasHandle,
+						oneapi::mkl::transpose::N,
+						oneapi::mkl::transpose::N,
+						m,n,k,
+						alpha,
+						(const ComplexD *)Amk,lda,sda,
+						(const ComplexD *)Bkn,ldb,sdb,
+						beta,
+						(ComplexD *)Cmn,ldc,sdc,
+						batchCount);
 #endif
-#if !defined(GRID_SYCL) && !defined(GRID_CUDA) && !defined(GRID_HIP)
+#if !defined(GRID_SYCL) && !defined(GRID_CUDA) && !defined(GRID_HIP) && !defined(GRID_ONE_MKL)
      // Need a default/reference implementation
      for (int p = 0; p < batchCount; ++p) {
        for (int mm = 0; mm < m; ++mm) {
 	 for (int nn = 0; nn < n; ++nn) {
 	   ComplexD c_mn(0.0);
-	   for (int kk = 0; kk < k, ++kk)
+	   for (int kk = 0; kk < k; ++kk)
 	     c_mn += Amk[mm + kk*lda + p*sda] * Bkn[kk + nn*ldb + p*sdb];
-	   Cmn[mm + nn*ldc + p*sdc] =  (*alpha_p)*c_mn + (*beta_p)*Cmn[mm + nn*ldc + p*sdc];
+	   Cmn[mm + nn*ldc + p*sdc] =  (alpha)*c_mn + (beta)*Cmn[mm + nn*ldc + p*sdc];
 	 }
        }
      }
 #endif
   }
 
+  double benchmark(int M, int N, int K, int BATCH)
+  {
+    int32_t N_A = M*K*BATCH;
+    int32_t N_B = K*N*BATCH;
+    int32_t N_C = M*N*BATCH;
+    deviceVector<ComplexD> A(N_A); acceleratorMemSet(&A[0],0,N_A*sizeof(ComplexD));
+    deviceVector<ComplexD> B(N_B); acceleratorMemSet(&B[0],0,N_B*sizeof(ComplexD));
+    deviceVector<ComplexD> C(N_C); acceleratorMemSet(&C[0],0,N_C*sizeof(ComplexD));
+    ComplexD alpha(1.0);
+    ComplexD beta (1.0);
+    RealD flops = 8.0*M*N*K*BATCH;
+    int ncall=10;
+    RealD t0 = usecond();
+    for(int i=0;i<ncall;i++){
+      gemmStridedBatched(M,N,K,
+			 alpha,
+			 &A[0], // m x k 
+			 &B[0], // k x n
+			 beta, 
+			 &C[0], // m x n
+			 BATCH);
+    }
+    synchronise();
+    RealD t1 = usecond();
+    RealD bytes = 1.0*sizeof(ComplexD)*(M*N*2+N*K+M*K)*BATCH;
+    flops = 8.0*M*N*K*BATCH*ncall;
+    flops = flops/(t1-t0)/1.e3;
+    return flops; // Returns gigaflops
+  }
+
 
 
 

Grid/algorithms/iterative/AdefGeneric.h

@@ -33,110 +33,109 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
    * Script A = SolverMatrix 
    * Script P = Preconditioner
    *
+   * Deflation methods considered
+   *      -- Solve P A x = P b        [ like Luscher ]
+   * DEF-1        M P A x = M P b     [i.e. left precon]
+   * DEF-2        P^T M A x = P^T M b
+   * ADEF-1       Preconditioner = M P + Q      [ Q + M + M A Q]
+   * ADEF-2       Preconditioner = P^T M + Q
+   * BNN          Preconditioner = P^T M P + Q
+   * BNN2         Preconditioner = M P + P^TM +Q - M P A M 
+   * 
    * Implement ADEF-2
    *
    * Vstart = P^Tx + Qb
    * M1 = P^TM + Q
    * M2=M3=1
+   * Vout = x
    */
-NAMESPACE_BEGIN(Grid);
 
-template<class Field>
-class TwoLevelCG : public LinearFunction<Field>
+// abstract base
+template<class Field, class CoarseField>
+class TwoLevelFlexiblePcg : public LinearFunction<Field>
 {
  public:
+  int verbose;
   RealD   Tolerance;
   Integer MaxIterations;
+  const int mmax = 5;
   GridBase *grid;
+  GridBase *coarsegrid;
 
-  // Fine operator, Smoother, CoarseSolver
-  LinearOperatorBase<Field>   &_FineLinop;
-  LinearFunction<Field>   &_Smoother;
+  LinearOperatorBase<Field>   *_Linop
+  OperatorFunction<Field>     *_Smoother,
+  LinearFunction<CoarseField> *_CoarseSolver;
+
+  // Need somthing that knows how to get from Coarse to fine and back again
   
   // more most opertor functions
-  TwoLevelCG(RealD tol,
+  TwoLevelFlexiblePcg(RealD tol,
 		     Integer maxit,
-	     LinearOperatorBase<Field>   &FineLinop,
-	     LinearFunction<Field>       &Smoother,
-	     GridBase *fine) : 
+		     LinearOperatorBase<Field> *Linop,
+		     LinearOperatorBase<Field> *SmootherLinop,
+		     OperatorFunction<Field>   *Smoother,
+		     OperatorFunction<CoarseField>  CoarseLinop
+		     ) : 
       Tolerance(tol), 
       MaxIterations(maxit),
-      _FineLinop(FineLinop),
-      _Smoother(Smoother)
+      _Linop(Linop),
+      _PreconditionerLinop(PrecLinop),
+      _Preconditioner(Preconditioner)
   { 
-    grid       = fine;
+    verbose=0;
   };
 
-  virtual void operator() (const Field &src, Field &x)
-  {
-    std::cout << GridLogMessage<<"HDCG: fPcg starting"<<std::endl;
+  // The Pcg routine is common to all, but the various matrices differ from derived 
+  // implementation to derived implmentation
+  void operator() (const Field &src, Field &psi){
+  void operator() (const Field &src, Field &psi){
+
+    psi.Checkerboard() = src.Checkerboard();
+    grid             = src.Grid();
+
     RealD f;
     RealD rtzp,rtz,a,d,b;
     RealD rptzp;
+    RealD tn;
+    RealD guess = norm2(psi);
+    RealD ssq   = norm2(src);
+    RealD rsq   = ssq*Tolerance*Tolerance;
     
     /////////////////////////////
     // Set up history vectors
     /////////////////////////////
-    int mmax = 5;
-    std::cout << GridLogMessage<<"HDCG: fPcg allocating"<<std::endl;
-    std::vector<Field> p(mmax,grid);
+    std::vector<Field> p  (mmax,grid);
     std::vector<Field> mmp(mmax,grid);
     std::vector<RealD> pAp(mmax);
-    Field z(grid);
+
+    Field x  (grid); x = psi;
+    Field z  (grid);
     Field tmp(grid);
-    Field  mp (grid);
     Field r  (grid);
     Field mu (grid);
   
-    std::cout << GridLogMessage<<"HDCG: fPcg allocated"<<std::endl;
-    //Initial residual computation & set up
-    RealD guess   = norm2(x);
-    std::cout << GridLogMessage<<"HDCG: fPcg guess nrm "<<guess<<std::endl;
-    RealD src_nrm = norm2(src);
-    std::cout << GridLogMessage<<"HDCG: fPcg src nrm "<<src_nrm<<std::endl;
-    
-    if ( src_nrm == 0.0 ) {
-      std::cout << GridLogMessage<<"HDCG: fPcg given trivial source norm "<<src_nrm<<std::endl;
-      x=Zero();
-    }
-    RealD tn;
-    
-    GridStopWatch HDCGTimer;
-    HDCGTimer.Start();
     //////////////////////////
     // x0 = Vstart -- possibly modify guess
     //////////////////////////
+    x=src;
     Vstart(x,src);
 
     // r0 = b -A x0
-    _FineLinop.HermOp(x,mmp[0]);
+    HermOp(x,mmp); // Shouldn't this be something else?
     axpy (r, -1.0,mmp[0], src);    // Recomputes r=src-Ax0
-    {
-      double n1 = norm2(x);
-      double n2 = norm2(mmp[0]);
-      double n3 = norm2(r);
-      std::cout<<GridLogMessage<<"x,vstart,r = "<<n1<<" "<<n2<<" "<<n3<<std::endl;
-    }
 
     //////////////////////////////////
     // Compute z = M1 x
     //////////////////////////////////
-    PcgM1(r,z);
+    M1(r,z,tmp,mp,SmootherMirs);
     rtzp =real(innerProduct(r,z));
 
     ///////////////////////////////////////
     // Solve for Mss mu = P A z and set p = z-mu
-    // Def2 p = 1 - Q Az = Pright z
+    // Def2: p = 1 - Q Az = Pright z 
     // Other algos M2 is trivial
     ///////////////////////////////////////
-    PcgM2(z,p[0]);
-
-    RealD ssq =  norm2(src);
-    RealD rsq =  ssq*Tolerance*Tolerance;
-
-    std::cout << GridLogMessage<<"HDCG: k=0 residual "<<rtzp<<" rsq "<<rsq<<"\n";
-
-    Field pp(grid);
+    M2(z,p[0]);
 
     for (int k=0;k<=MaxIterations;k++){
     
@@ -144,7 +143,7 @@ class TwoLevelCG : public LinearFunction<Field>
       int peri_kp = (k+1) % mmax;
 
       rtz=rtzp;
-      d= PcgM3(p[peri_k],mmp[peri_k]);
+      d= M3(p[peri_k],mp,mmp[peri_k],tmp);
       a = rtz/d;
     
       // Memorise this
@@ -154,36 +153,21 @@ class TwoLevelCG : public LinearFunction<Field>
       RealD rn = axpy_norm(r,-a,mmp[peri_k],r);
 
       // Compute z = M x
-      PcgM1(r,z);
+      M1(r,z,tmp,mp);
 
-      {
-	RealD n1,n2;
-	n1=norm2(r);
-	n2=norm2(z);
-	std::cout << GridLogMessage<<"HDCG::fPcg iteration "<<k<<" : vector r,z "<<n1<<" "<<n2<<"\n";
-      }
       rtzp =real(innerProduct(r,z));
-      std::cout << GridLogMessage<<"HDCG::fPcg iteration "<<k<<" : inner rtzp "<<rtzp<<"\n";
 
-      //    PcgM2(z,p[0]);
-      PcgM2(z,mu); // ADEF-2 this is identity. Axpy possible to eliminate
+      M2(z,mu); // ADEF-2 this is identity. Axpy possible to eliminate
 
-      p[peri_kp]=mu;
+      p[peri_kp]=p[peri_k];
 
-      // Standard search direction  p -> z + b p    
+      // Standard search direction  p -> z + b p    ; b = 
       b = (rtzp)/rtz;
 
       int northog;
-      // k=zero  <=> peri_kp=1;        northog = 1
-      // k=1     <=> peri_kp=2;        northog = 2
-      // ...               ...                  ...
-      // k=mmax-2<=> peri_kp=mmax-1;   northog = mmax-1
-      // k=mmax-1<=> peri_kp=0;        northog = 1
-
       //    northog     = (peri_kp==0)?1:peri_kp; // This is the fCG(mmax) algorithm
       northog     = (k>mmax-1)?(mmax-1):k;        // This is the fCG-Tr(mmax-1) algorithm
     
-      std::cout<<GridLogMessage<<"HDCG::fPcg iteration "<<k<<" : orthogonalising to last "<<northog<<" vectors\n";
       for(int back=0; back < northog; back++){
 	int peri_back = (k-back)%mmax;
 	RealD pbApk= real(innerProduct(mmp[peri_back],p[peri_kp]));
@@ -192,315 +176,75 @@ class TwoLevelCG : public LinearFunction<Field>
       }
 
       RealD rrn=sqrt(rn/ssq);
-      RealD rtn=sqrt(rtz/ssq);
-      RealD rtnp=sqrt(rtzp/ssq);
-
-      std::cout<<GridLogMessage<<"HDCG: fPcg k= "<<k<<" residual = "<<rrn<<"\n";
+      std::cout<<GridLogMessage<<"TwoLevelfPcg: k= "<<k<<" residual = "<<rrn<<std::endl;
 
       // Stopping condition
       if ( rn <= rsq ) { 
 
-	HDCGTimer.Stop();
-	std::cout<<GridLogMessage<<"HDCG: fPcg converged in "<<k<<" iterations and "<<HDCGTimer.Elapsed()<<std::endl;;
-	
-	_FineLinop.HermOp(x,mmp[0]);			  
+	HermOp(x,mmp); // Shouldn't this be something else?
 	axpy(tmp,-1.0,src,mmp[0]);
 	
-	RealD  mmpnorm = sqrt(norm2(mmp[0]));
-	RealD  xnorm   = sqrt(norm2(x));
+	RealD psinorm = sqrt(norm2(x));
 	RealD srcnorm = sqrt(norm2(src));
 	RealD tmpnorm = sqrt(norm2(tmp));
 	RealD true_residual = tmpnorm/srcnorm;
-	std::cout<<GridLogMessage
-	       <<"HDCG: true residual is "<<true_residual
-	       <<" solution "<<xnorm
-	       <<" source "<<srcnorm
-	       <<" mmp "<<mmpnorm	  
-	       <<std::endl;
-      
-	return;
-      }
-
-    }
-    HDCGTimer.Stop();
-    std::cout<<GridLogMessage<<"HDCG: not converged "<<HDCGTimer.Elapsed()<<std::endl;
-    RealD  xnorm   = sqrt(norm2(x));
-    RealD  srcnorm = sqrt(norm2(src));
-    std::cout<<GridLogMessage<<"HDCG: non-converged solution "<<xnorm<<" source "<<srcnorm<<std::endl;
-  }
-
-
-
-  virtual void operator() (std::vector<Field> &src, std::vector<Field> &x)
-  {
-    std::cout << GridLogMessage<<"HDCG: mrhs fPcg starting"<<std::endl;
-    src[0].Grid()->Barrier();
-    int nrhs = src.size();
-    std::vector<RealD> f(nrhs);
-    std::vector<RealD> rtzp(nrhs);
-    std::vector<RealD> rtz(nrhs);
-    std::vector<RealD> a(nrhs);
-    std::vector<RealD> d(nrhs);
-    std::vector<RealD> b(nrhs);
-    std::vector<RealD> rptzp(nrhs);
-    /////////////////////////////
-    // Set up history vectors
-    /////////////////////////////
-    int mmax = 2;
-    std::cout << GridLogMessage<<"HDCG: fPcg allocating"<<std::endl;
-    src[0].Grid()->Barrier();
-    std::vector<std::vector<Field> > p(nrhs);   for(int r=0;r<nrhs;r++)  p[r].resize(mmax,grid);
-    std::cout << GridLogMessage<<"HDCG: fPcg allocated p"<<std::endl;
-    src[0].Grid()->Barrier();
-    std::vector<std::vector<Field> > mmp(nrhs); for(int r=0;r<nrhs;r++) mmp[r].resize(mmax,grid);
-    std::cout << GridLogMessage<<"HDCG: fPcg allocated mmp"<<std::endl;
-    src[0].Grid()->Barrier();
-    std::vector<std::vector<RealD> > pAp(nrhs); for(int r=0;r<nrhs;r++) pAp[r].resize(mmax);
-    std::cout << GridLogMessage<<"HDCG: fPcg allocated pAp"<<std::endl;
-    src[0].Grid()->Barrier();
-    std::vector<Field> z(nrhs,grid);
-    std::vector<Field>  mp (nrhs,grid);
-    std::vector<Field>  r  (nrhs,grid);
-    std::vector<Field>  mu (nrhs,grid);
-    std::cout << GridLogMessage<<"HDCG: fPcg allocated z,mp,r,mu"<<std::endl;
-    src[0].Grid()->Barrier();
-
-    //Initial residual computation & set up
-    std::vector<RealD> src_nrm(nrhs);
-    for(int rhs=0;rhs<nrhs;rhs++) {
-      src_nrm[rhs]=norm2(src[rhs]);
-      assert(src_nrm[rhs]!=0.0);
-    }
-    std::vector<RealD> tn(nrhs);
-
-    GridStopWatch HDCGTimer;
-    HDCGTimer.Start();
-    //////////////////////////
-    // x0 = Vstart -- possibly modify guess
-    //////////////////////////
-    for(int rhs=0;rhs<nrhs;rhs++){
-      Vstart(x[rhs],src[rhs]);
-
-      // r0 = b -A x0
-      _FineLinop.HermOp(x[rhs],mmp[rhs][0]);
-      axpy (r[rhs], -1.0,mmp[rhs][0], src[rhs]);    // Recomputes r=src-Ax0
-    }
-
-    //////////////////////////////////
-    // Compute z = M1 x
-    //////////////////////////////////
-    // This needs a multiRHS version for acceleration
-    PcgM1(r,z);
-
-    std::vector<RealD> ssq(nrhs);
-    std::vector<RealD> rsq(nrhs);
-    std::vector<Field> pp(nrhs,grid);
-
-    for(int rhs=0;rhs<nrhs;rhs++){
-      rtzp[rhs] =real(innerProduct(r[rhs],z[rhs]));
-      p[rhs][0]=z[rhs];
-      ssq[rhs]=norm2(src[rhs]);
-      rsq[rhs]=  ssq[rhs]*Tolerance*Tolerance;
-      std::cout << GridLogMessage<<"mrhs HDCG: "<<rhs<<" k=0 residual "<<rtzp[rhs]<<" rsq "<<rsq[rhs]<<"\n";
-    }
-
-    std::vector<RealD> rn(nrhs);
-    for (int k=0;k<=MaxIterations;k++){
-    
-      int peri_k  = k % mmax;
-      int peri_kp = (k+1) % mmax;
-
-      for(int rhs=0;rhs<nrhs;rhs++){
-	rtz[rhs]=rtzp[rhs];
-	d[rhs]= PcgM3(p[rhs][peri_k],mmp[rhs][peri_k]);
-	a[rhs] = rtz[rhs]/d[rhs];
-    
-	// Memorise this
-	pAp[rhs][peri_k] = d[rhs];
-
-	axpy(x[rhs],a[rhs],p[rhs][peri_k],x[rhs]);
-	rn[rhs] = axpy_norm(r[rhs],-a[rhs],mmp[rhs][peri_k],r[rhs]);
-      }
-
-      // Compute z = M x (for *all* RHS)
-      PcgM1(r,z);
-
-      RealD max_rn=0.0;
-      for(int rhs=0;rhs<nrhs;rhs++){
-
-	rtzp[rhs] =real(innerProduct(r[rhs],z[rhs]));
-
-	std::cout << GridLogMessage<<"HDCG::fPcg rhs"<<rhs<<" iteration "<<k<<" : inner rtzp "<<rtzp[rhs]<<"\n";
-	
-	mu[rhs]=z[rhs];
-
-	p[rhs][peri_kp]=mu[rhs];
-
-	// Standard search direction p == z + b p 
-	b[rhs] = (rtzp[rhs])/rtz[rhs];
-
-	int northog = (k>mmax-1)?(mmax-1):k;        // This is the fCG-Tr(mmax-1) algorithm
-	std::cout<<GridLogMessage<<"HDCG::fPcg iteration "<<k<<" : orthogonalising to last "<<northog<<" vectors\n";
-	for(int back=0; back < northog; back++){
-	  int peri_back = (k-back)%mmax;
-	  RealD pbApk= real(innerProduct(mmp[rhs][peri_back],p[rhs][peri_kp]));
-	  RealD beta = -pbApk/pAp[rhs][peri_back];
-	  axpy(p[rhs][peri_kp],beta,p[rhs][peri_back],p[rhs][peri_kp]);
-	}
-
-	RealD rrn=sqrt(rn[rhs]/ssq[rhs]);
-	RealD rtn=sqrt(rtz[rhs]/ssq[rhs]);
-	RealD rtnp=sqrt(rtzp[rhs]/ssq[rhs]);
-	
-	std::cout<<GridLogMessage<<"HDCG: rhs "<<rhs<<"fPcg k= "<<k<<" residual = "<<rrn<<"\n";
-	if ( rrn > max_rn ) max_rn = rrn;
-      }
-
-      // Stopping condition based on worst case
-      if ( max_rn <= Tolerance ) { 
-
-	HDCGTimer.Stop();
-	std::cout<<GridLogMessage<<"HDCG: mrhs fPcg converged in "<<k<<" iterations and "<<HDCGTimer.Elapsed()<<std::endl;;
-
-	for(int rhs=0;rhs<nrhs;rhs++){
-	  _FineLinop.HermOp(x[rhs],mmp[rhs][0]);			  
-	  Field tmp(grid);
-	  axpy(tmp,-1.0,src[rhs],mmp[rhs][0]);
-      
-	  RealD  mmpnorm = sqrt(norm2(mmp[rhs][0]));
-	  RealD  xnorm   = sqrt(norm2(x[rhs]));
-	  RealD  srcnorm = sqrt(norm2(src[rhs]));
-	  RealD  tmpnorm = sqrt(norm2(tmp));
-	  RealD  true_residual = tmpnorm/srcnorm;
-	  std::cout<<GridLogMessage
-		   <<"HDCG: true residual ["<<rhs<<"] is "<<true_residual
-		   <<" solution "<<xnorm
-		   <<" source "<<srcnorm
-		   <<" mmp "<<mmpnorm	  
-		   <<std::endl;
-	}
-	return;
-      }
-      
-    }
-    HDCGTimer.Stop();
-    std::cout<<GridLogMessage<<"HDCG: not converged "<<HDCGTimer.Elapsed()<<std::endl;
-    for(int rhs=0;rhs<nrhs;rhs++){
-      RealD  xnorm   = sqrt(norm2(x[rhs]));
-      RealD  srcnorm = sqrt(norm2(src[rhs]));
-      std::cout<<GridLogMessage<<"HDCG: non-converged solution "<<xnorm<<" source "<<srcnorm<<std::endl;
+	std::cout<<GridLogMessage<<"TwoLevelfPcg:   true residual is "<<true_residual<<std::endl;
+	std::cout<<GridLogMessage<<"TwoLevelfPcg: target residual was"<<Tolerance<<std::endl;
+	return k;
       }
     }
-  
+    // Non-convergence
+    assert(0);
+  }
 
  public:
 
-  virtual void PcgM1(std::vector<Field> & in,std::vector<Field> & out)
-  {
-    std::cout << "PcgM1 default (cheat) mrhs versoin"<<std::endl;
-    for(int rhs=0;rhs<in.size();rhs++){
-      this->PcgM1(in[rhs],out[rhs]);
-    }
-  }
-  virtual void PcgM1(Field & in, Field & out)     =0;
-  virtual void Vstart(Field & x,const Field & src)=0;
+  virtual void M(Field & in,Field & out,Field & tmp) {
 
-  virtual void PcgM2(const Field & in, Field & out) {
-    out=in;
   }
 
-  virtual RealD PcgM3(const Field & p, Field & mmp){
-    RealD dd;
-    _FineLinop.HermOp(p,mmp);
-    ComplexD dot = innerProduct(p,mmp);
-    dd=real(dot);
-    return dd;
-  }
+  virtual void M1(Field & in, Field & out) {// the smoother
 
-  /////////////////////////////////////////////////////////////////////
-  // Only Def1 has non-trivial Vout.
-  /////////////////////////////////////////////////////////////////////
-
-};
-  
-template<class Field, class CoarseField, class Aggregation>
-class TwoLevelADEF2 : public TwoLevelCG<Field>
-{
- public:
-  ///////////////////////////////////////////////////////////////////////////////////
-  // Need something that knows how to get from Coarse to fine and back again
-  //  void ProjectToSubspace(CoarseVector &CoarseVec,const FineField &FineVec){
-  //  void PromoteFromSubspace(const CoarseVector &CoarseVec,FineField &FineVec){
-  ///////////////////////////////////////////////////////////////////////////////////
-  GridBase *coarsegrid;
-  Aggregation &_Aggregates;                    
-  LinearFunction<CoarseField> &_CoarseSolver;
-  LinearFunction<CoarseField> &_CoarseSolverPrecise;
-  ///////////////////////////////////////////////////////////////////////////////////
-  
-  // more most opertor functions
-  TwoLevelADEF2(RealD tol,
-		Integer maxit,
-		LinearOperatorBase<Field>    &FineLinop,
-		LinearFunction<Field>        &Smoother,
-		LinearFunction<CoarseField>  &CoarseSolver,
-		LinearFunction<CoarseField>  &CoarseSolverPrecise,
-		Aggregation &Aggregates
-		) :
-      TwoLevelCG<Field>(tol,maxit,FineLinop,Smoother,Aggregates.FineGrid),
-      _CoarseSolver(CoarseSolver),
-      _CoarseSolverPrecise(CoarseSolverPrecise),
-      _Aggregates(Aggregates)
-  {
-    coarsegrid = Aggregates.CoarseGrid;
-  };
-
-  virtual void PcgM1(Field & in, Field & out)
-  {
-    GRID_TRACE("MultiGridPreconditioner ");
     // [PTM+Q] in = [1 - Q A] M in + Q in = Min + Q [ in -A Min]
+    Field tmp(grid);
+    Field Min(grid);
 
-    Field tmp(this->grid);
-    Field Min(this->grid);
-    CoarseField PleftProj(this->coarsegrid);
-    CoarseField PleftMss_proj(this->coarsegrid);
+    PcgM(in,Min); // Smoother call
 
-    GridStopWatch SmootherTimer;
-    GridStopWatch MatrixTimer;
-    SmootherTimer.Start();
-    this->_Smoother(in,Min);
-    SmootherTimer.Stop();
-
-    MatrixTimer.Start();
-    this->_FineLinop.HermOp(Min,out);
-    MatrixTimer.Stop();
+    HermOp(Min,out);
     axpy(tmp,-1.0,out,in);          // tmp  = in - A Min
 
-    GridStopWatch ProjTimer;
-    GridStopWatch CoarseTimer;
-    GridStopWatch PromTimer;
-    ProjTimer.Start();
-    this->_Aggregates.ProjectToSubspace(PleftProj,tmp);     
-    ProjTimer.Stop();
-    CoarseTimer.Start();
-    this->_CoarseSolver(PleftProj,PleftMss_proj); // Ass^{-1} [in - A Min]_s
-    CoarseTimer.Stop();
-    PromTimer.Start();
-    this->_Aggregates.PromoteFromSubspace(PleftMss_proj,tmp);// tmp = Q[in - A Min]  
-    PromTimer.Stop();
-    std::cout << GridLogPerformance << "PcgM1 breakdown "<<std::endl;
-    std::cout << GridLogPerformance << "\tSmoother   " << SmootherTimer.Elapsed() <<std::endl;
-    std::cout << GridLogPerformance << "\tMatrix     " << MatrixTimer.Elapsed() <<std::endl;
-    std::cout << GridLogPerformance << "\tProj       " << ProjTimer.Elapsed() <<std::endl;
-    std::cout << GridLogPerformance << "\tCoarse     " << CoarseTimer.Elapsed() <<std::endl;
-    std::cout << GridLogPerformance << "\tProm       " << PromTimer.Elapsed() <<std::endl;
-
+    ProjectToSubspace(tmp,PleftProj);     
+    ApplyInverse(PleftProj,PleftMss_proj); // Ass^{-1} [in - A Min]_s
+    PromoteFromSubspace(PleftMss_proj,tmp);// tmp = Q[in - A Min]  
     axpy(out,1.0,Min,tmp); // Min+tmp
   }
 
-  virtual void Vstart(Field & x,const Field & src)
-  {
-    std::cout << GridLogMessage<<"HDCG: fPcg Vstart "<<std::endl;
+  virtual void M2(const Field & in, Field & out) {
+    out=in;
+    // Must override for Def2 only
+    //  case PcgDef2:
+    //    Pright(in,out);
+    //    break;
+  }
+
+  virtual RealD M3(const Field & p, Field & mmp){
+    double d,dd;
+    HermOpAndNorm(p,mmp,d,dd);
+    return dd;
+    // Must override for Def1 only
+    //  case PcgDef1:
+    //    d=linop_d->Mprec(p,mmp,tmp,0,1);// Dag no
+    //      linop_d->Mprec(mmp,mp,tmp,1);// Dag yes
+    //    Pleft(mp,mmp);
+    //    d=real(linop_d->inner(p,mmp));
+  }
+
+  virtual void VstartDef2(Field & xconst Field & src){
+    //case PcgDef2:
+    //case PcgAdef2: 
+    //case PcgAdef2f:
+    //case PcgV11f:
     ///////////////////////////////////
     // Choose x_0 such that 
     // x_0 = guess +  (A_ss^inv) r_s = guess + Ass_inv [src -Aguess]
@@ -512,157 +256,142 @@ class TwoLevelADEF2 : public TwoLevelCG<Field>
     //                   = src_s - (A guess)_s - src_s  + (A guess)_s 
     //                   = 0 
     ///////////////////////////////////
-    Field r(this->grid);
-    Field mmp(this->grid);
-    CoarseField PleftProj(this->coarsegrid);
-    CoarseField PleftMss_proj(this->coarsegrid);
+    Field r(grid);
+    Field mmp(grid);
     
-    std::cout << GridLogMessage<<"HDCG: fPcg Vstart projecting "<<std::endl;
-    this->_Aggregates.ProjectToSubspace(PleftProj,src);     
-    std::cout << GridLogMessage<<"HDCG: fPcg Vstart coarse solve "<<std::endl;
-    this->_CoarseSolverPrecise(PleftProj,PleftMss_proj); // Ass^{-1} r_s
-    std::cout << GridLogMessage<<"HDCG: fPcg Vstart promote "<<std::endl;
-    this->_Aggregates.PromoteFromSubspace(PleftMss_proj,x);  
+    HermOp(x,mmp);
+    axpy (r, -1.0, mmp, src);        // r_{-1} = src - A x
+    ProjectToSubspace(r,PleftProj);     
+    ApplyInverseCG(PleftProj,PleftMss_proj); // Ass^{-1} r_s
+    PromoteFromSubspace(PleftMss_proj,mmp);  
+    x=x+mmp;
 
   }
 
-};
-
-template<class Field, class CoarseField, class Aggregation>
-class TwoLevelADEF2mrhs : public TwoLevelADEF2<Field,CoarseField,Aggregation>
-{
-public:
-  GridBase *coarsegridmrhs;
-  LinearFunction<CoarseField> &_CoarseSolverMrhs;
-  LinearFunction<CoarseField> &_CoarseGuesser;
-  TwoLevelADEF2mrhs(RealD tol,
-		    Integer maxit,
-		    LinearOperatorBase<Field>    &FineLinop,
-		    LinearFunction<Field>        &Smoother,
-		    LinearFunction<CoarseField>  &CoarseSolver,
-		    LinearFunction<CoarseField>  &CoarseSolverPrecise,
-		    LinearFunction<CoarseField>  &CoarseSolverMrhs,
-		    LinearFunction<CoarseField>  &CoarseGuesser,
-		    GridBase *rhsgrid,
-		    Aggregation &Aggregates) :
-    TwoLevelADEF2<Field,CoarseField,Aggregation>(tol, maxit,FineLinop,Smoother,CoarseSolver,CoarseSolverPrecise,Aggregates),
-    _CoarseSolverMrhs(CoarseSolverMrhs),
-    _CoarseGuesser(CoarseGuesser)
-  {
-    coarsegridmrhs = rhsgrid;
-  };
-  
-  virtual void PcgM1(std::vector<Field> & in,std::vector<Field> & out){
-
-    int nrhs=in.size();
-    std::cout << " mrhs PcgM1 for "<<nrhs<<" right hand sides"<<std::endl;
-    // [PTM+Q] in = [1 - Q A] M in + Q in = Min + Q [ in -A Min]
-    Field tmp(this->grid);
-    std::vector<Field> Min(nrhs,this->grid);
-    CoarseField PleftProj(this->coarsegrid);
-    CoarseField PleftMss_proj(this->coarsegrid);
-
-    CoarseField PleftProjMrhs(this->coarsegridmrhs);
-    CoarseField PleftMss_projMrhs(this->coarsegridmrhs);
-
-    for(int rhs=0;rhs<nrhs;rhs++) {
-      this->grid->Barrier();
-      std::cout << " Calling smoother for "<<rhs<<std::endl;
-      this->grid->Barrier();
-      this->_Smoother(in[rhs],Min[rhs]);
-      this->grid->Barrier();
-      std::cout << " smoother done "<<rhs<<std::endl;
-      this->grid->Barrier();
-      this->_FineLinop.HermOp(Min[rhs],out[rhs]);
-      this->grid->Barrier();
-      std::cout << " Hermop for "<<rhs<<std::endl;
-      this->grid->Barrier();
-      axpy(tmp,-1.0,out[rhs],in[rhs]);          // tmp  = in - A Min
-      this->grid->Barrier();
-      std::cout << " axpy "<<rhs<<std::endl;
-      this->grid->Barrier();
-      this->_Aggregates.ProjectToSubspace(PleftProj,tmp);     // can optimise later
-      this->grid->Barrier();
-      std::cout << " project "<<rhs<<std::endl;
-      this->grid->Barrier();
-      InsertSlice(PleftProj,PleftProjMrhs,rhs,0);
-      this->grid->Barrier();
-      std::cout << " insert rhs "<<rhs<<std::endl;
-      this->grid->Barrier();
-      this->_CoarseGuesser(PleftProj,PleftMss_proj);
-      this->grid->Barrier();
-      std::cout << " insert guess "<<rhs<<std::endl;
-      this->grid->Barrier();
-      InsertSlice(PleftMss_proj,PleftMss_projMrhs,rhs,0);
+  virtual void Vstart(Field & x,const Field & src){
+    return;
   }
 
-    std::cout << " Coarse solve "<<std::endl;
-    this->_CoarseSolverMrhs(PleftProjMrhs,PleftMss_projMrhs); // Ass^{-1} [in - A Min]_s
+  /////////////////////////////////////////////////////////////////////
+  // Only Def1 has non-trivial Vout. Override in Def1
+  /////////////////////////////////////////////////////////////////////
+  virtual void   Vout  (Field & in, Field & out,Field & src){
+    out = in;
+    //case PcgDef1:
+    //    //Qb + PT x
+    //    ProjectToSubspace(src,PleftProj);     
+    //    ApplyInverse(PleftProj,PleftMss_proj); // Ass^{-1} r_s
+    //    PromoteFromSubspace(PleftMss_proj,tmp);  
+    //    
+    //    Pright(in,out);
+    //    
+    //    linop_d->axpy(out,tmp,out,1.0);
+    //    break;
+  }
 
-    for(int rhs=0;rhs<nrhs;rhs++) {
-      ExtractSlice(PleftMss_proj,PleftMss_projMrhs,rhs,0);
-      this->_Aggregates.PromoteFromSubspace(PleftMss_proj,tmp);// tmp = Q[in - A Min]  
-      axpy(out[rhs],1.0,Min[rhs],tmp); // Min+tmp
+  ////////////////////////////////////////////////////////////////////////////////////////////////
+  // Pright and Pleft are common to all implementations
+  ////////////////////////////////////////////////////////////////////////////////////////////////
+  virtual void Pright(Field & in,Field & out){
+    // P_R  = [ 1              0 ] 
+    //        [ -Mss^-1 Msb    0 ] 
+    Field in_sbar(grid);
+
+    ProjectToSubspace(in,PleftProj);     
+    PromoteFromSubspace(PleftProj,out);  
+    axpy(in_sbar,-1.0,out,in);       // in_sbar = in - in_s 
+
+    HermOp(in_sbar,out);
+    ProjectToSubspace(out,PleftProj);           // Mssbar in_sbar  (project)
+
+    ApplyInverse     (PleftProj,PleftMss_proj); // Mss^{-1} Mssbar 
+    PromoteFromSubspace(PleftMss_proj,out);     // 
+
+    axpy(out,-1.0,out,in_sbar);     // in_sbar - Mss^{-1} Mssbar in_sbar
   }
-    std::cout << " Extracted "<<std::endl;
+  virtual void Pleft (Field & in,Field & out){
+    // P_L  = [ 1  -Mbs Mss^-1] 
+    //        [ 0   0         ] 
+    Field in_sbar(grid);
+    Field    tmp2(grid);
+    Field    Mtmp(grid);
+
+    ProjectToSubspace(in,PleftProj);     
+    PromoteFromSubspace(PleftProj,out);  
+    axpy(in_sbar,-1.0,out,in);      // in_sbar = in - in_s
+
+    ApplyInverse(PleftProj,PleftMss_proj); // Mss^{-1} in_s
+    PromoteFromSubspace(PleftMss_proj,out);
+
+    HermOp(out,Mtmp);
+
+    ProjectToSubspace(Mtmp,PleftProj);      // Msbar s Mss^{-1}
+    PromoteFromSubspace(PleftProj,tmp2);
+
+    axpy(out,-1.0,tmp2,Mtmp);
+    axpy(out,-1.0,out,in_sbar);     // in_sbar - Msbars Mss^{-1} in_s
   }
-};
+}
 
 template<class Field>
-class TwoLevelADEF1defl : public TwoLevelCG<Field>
-{
-public:
-  const std::vector<Field> &evec;
-  const std::vector<RealD> &eval;
+class TwoLevelFlexiblePcgADef2 : public TwoLevelFlexiblePcg<Field> {
+ public:
+  virtual void M(Field & in,Field & out,Field & tmp){
 
-  TwoLevelADEF1defl(RealD tol,
-		   Integer maxit,
-		   LinearOperatorBase<Field>   &FineLinop,
-		   LinearFunction<Field>   &Smoother,
-		   std::vector<Field> &_evec,
-		   std::vector<RealD> &_eval) : 
-    TwoLevelCG<Field>(tol,maxit,FineLinop,Smoother,_evec[0].Grid()),
-    evec(_evec),
-    eval(_eval)
-  {};
-
-  // Can just inherit existing M2
-  // Can just inherit existing M3
-
-  // Simple vstart - do nothing
-  virtual void Vstart(Field & x,const Field & src){
-    x=src; // Could apply Q
-  };
-
-  // Override PcgM1
-  virtual void PcgM1(Field & in, Field & out)
-  {
-    GRID_TRACE("EvecPreconditioner ");
-    int N=evec.size();
-    Field Pin(this->grid);
-    Field Qin(this->grid);
-
-    //MP  + Q = M(1-AQ) + Q = M
-    // // If we are eigenvector deflating in coarse space
-    // // Q   = Sum_i |phi_i> 1/lambda_i <phi_i|
-    // // A Q = Sum_i |phi_i> <phi_i|
-    // // M(1-AQ) = M(1-proj) + Q
-    Qin.Checkerboard()=in.Checkerboard();
-    Qin = Zero();
-    Pin = in;
-    for (int i=0;i<N;i++) {
-      const Field& tmp = evec[i];
-      auto ip = TensorRemove(innerProduct(tmp,in));
-      axpy(Qin, ip / eval[i],tmp,Qin);
-      axpy(Pin, -ip ,tmp,Pin);
   } 
+  virtual void M1(Field & in, Field & out,Field & tmp,Field & mp){
 
-    this->_Smoother(Pin,out);
-
-    out = out + Qin;
   }
-};
+  virtual void M2(Field & in, Field & out){
 
-NAMESPACE_END(Grid);
+  }
+  virtual RealD M3(Field & p, Field & mp,Field & mmp, Field & tmp){
 
+  }
+  virtual void Vstart(Field & in, Field & src, Field & r, Field & mp, Field & mmp, Field & tmp){
+
+  }
+}
+/*
+template<class Field>
+class TwoLevelFlexiblePcgAD : public TwoLevelFlexiblePcg<Field> {
+ public:
+  virtual void M(Field & in,Field & out,Field & tmp); 
+  virtual void M1(Field & in, Field & out,Field & tmp,Field & mp);
+  virtual void M2(Field & in, Field & out);
+  virtual RealD M3(Field & p, Field & mp,Field & mmp, Field & tmp);
+  virtual void Vstart(Field & in, Field & src, Field & r, Field & mp, Field & mmp, Field & tmp);
+}
+
+template<class Field>
+class TwoLevelFlexiblePcgDef1 : public TwoLevelFlexiblePcg<Field> {
+ public:
+  virtual void M(Field & in,Field & out,Field & tmp); 
+  virtual void M1(Field & in, Field & out,Field & tmp,Field & mp);
+  virtual void M2(Field & in, Field & out);
+  virtual RealD M3(Field & p, Field & mp,Field & mmp, Field & tmp);
+  virtual void Vstart(Field & in, Field & src, Field & r, Field & mp, Field & mmp, Field & tmp);
+  virtual void   Vout  (Field & in, Field & out,Field & src,Field & tmp);
+}
+
+template<class Field>
+class TwoLevelFlexiblePcgDef2 : public TwoLevelFlexiblePcg<Field> {
+ public:
+  virtual void M(Field & in,Field & out,Field & tmp); 
+  virtual void M1(Field & in, Field & out,Field & tmp,Field & mp);
+  virtual void M2(Field & in, Field & out);
+  virtual RealD M3(Field & p, Field & mp,Field & mmp, Field & tmp);
+  virtual void Vstart(Field & in, Field & src, Field & r, Field & mp, Field & mmp, Field & tmp);
+}
+
+template<class Field>
+class TwoLevelFlexiblePcgV11: public TwoLevelFlexiblePcg<Field> {
+ public:
+  virtual void M(Field & in,Field & out,Field & tmp); 
+  virtual void M1(Field & in, Field & out,Field & tmp,Field & mp);
+  virtual void M2(Field & in, Field & out);
+  virtual RealD M3(Field & p, Field & mp,Field & mmp, Field & tmp);
+  virtual void Vstart(Field & in, Field & src, Field & r, Field & mp, Field & mmp, Field & tmp);
+}
+*/
 #endif

Grid/algorithms/iterative/ConjugateGradient.h

@@ -183,13 +183,13 @@ public:
 		  << "\tTrue residual " << true_residual
 		  << "\tTarget " << Tolerance << std::endl;
 
+        std::cout << GridLogMessage << "Time breakdown "<<std::endl;
 	std::cout << GridLogMessage << "\tElapsed    " << SolverTimer.Elapsed() <<std::endl;
-        std::cout << GridLogPerformance << "Time breakdown "<<std::endl;
-	std::cout << GridLogPerformance << "\tMatrix     " << MatrixTimer.Elapsed() <<std::endl;
-	std::cout << GridLogPerformance << "\tLinalg     " << LinalgTimer.Elapsed() <<std::endl;
-	std::cout << GridLogPerformance << "\tInner      " << InnerTimer.Elapsed() <<std::endl;
-	std::cout << GridLogPerformance << "\tAxpyNorm   " << AxpyNormTimer.Elapsed() <<std::endl;
-	std::cout << GridLogPerformance << "\tLinearComb " << LinearCombTimer.Elapsed() <<std::endl;
+	std::cout << GridLogMessage << "\tMatrix     " << MatrixTimer.Elapsed() <<std::endl;
+	std::cout << GridLogMessage << "\tLinalg     " << LinalgTimer.Elapsed() <<std::endl;
+	std::cout << GridLogMessage << "\tInner      " << InnerTimer.Elapsed() <<std::endl;
+	std::cout << GridLogMessage << "\tAxpyNorm   " << AxpyNormTimer.Elapsed() <<std::endl;
+	std::cout << GridLogMessage << "\tLinearComb " << LinearCombTimer.Elapsed() <<std::endl;
 
 	std::cout << GridLogDebug << "\tMobius flop rate " << DwfFlops/ usecs<< " Gflops " <<std::endl;
 
@@ -207,8 +207,7 @@ public:
 
     TrueResidual = sqrt(norm2(p)/ssq);
 
-    std::cout << GridLogMessage << "ConjugateGradient did NOT converge "<<k<<" / "<< MaxIterations
-	      <<" residual "<< TrueResidual<< std::endl;
+    std::cout << GridLogMessage << "ConjugateGradient did NOT converge "<<k<<" / "<< MaxIterations<< std::endl;
 
     if (ErrorOnNoConverge) assert(0);
     IterationsToComplete = k;

Grid/algorithms/iterative/ConjugateGradientMultiShift.h

@@ -144,7 +144,7 @@ public:
     for(int s=0;s<nshift;s++){
       rsq[s] = cp * mresidual[s] * mresidual[s];
       std::cout<<GridLogMessage<<"ConjugateGradientMultiShift: shift "<<s
-	       <<" target resid^2 "<<rsq[s]<<std::endl;
+	       <<" target resid "<<rsq[s]<<std::endl;
       ps[s] = src;
     }
     // r and p for primary

Grid/algorithms/iterative/ImplicitlyRestartedLanczos.h

@@ -79,16 +79,14 @@ template<class Field> class ImplicitlyRestartedLanczosHermOpTester  : public Imp
     RealD vv = norm2(v) / ::pow(evalMaxApprox,2.0);
 
     std::cout.precision(13);
-
-    int conv=0;
-    if( (vv<eresid*eresid) ) conv = 1;
-
     std::cout<<GridLogIRL  << "[" << std::setw(3)<<j<<"] "
 	     <<"eval = "<<std::setw(25)<< eval << " (" << eval_poly << ")"
 	     <<" |H B[i] - eval[i]B[i]|^2 / evalMaxApprox^2 " << std::setw(25) << vv
-	     <<" target " << eresid*eresid << " conv " <<conv
 	     <<std::endl;
 
+    int conv=0;
+    if( (vv<eresid*eresid) ) conv = 1;
+
     return conv;
   }
 };
@@ -459,7 +457,7 @@ until convergence
 	    std::vector<Field>& evec,
 	    Field& w,int Nm,int k)
   {
-    std::cout<<GridLogDebug << "Lanczos step " <<k<<std::endl;
+    std::cout<<GridLogIRL << "Lanczos step " <<k<<std::endl;
     const RealD tiny = 1.0e-20;
     assert( k< Nm );
 
@@ -467,7 +465,7 @@ until convergence
 
     Field& evec_k = evec[k];
 
-    _PolyOp(evec_k,w);    std::cout<<GridLogDebug << "PolyOp" <<std::endl;
+    _PolyOp(evec_k,w);    std::cout<<GridLogIRL << "PolyOp" <<std::endl;
 
     if(k>0) w -= lme[k-1] * evec[k-1];
 
@@ -482,18 +480,18 @@ until convergence
     lme[k] = beta;
 
     if ( (k>0) && ( (k % orth_period) == 0 )) {
-      std::cout<<GridLogDebug << "Orthogonalising " <<k<<std::endl;
+      std::cout<<GridLogIRL << "Orthogonalising " <<k<<std::endl;
       orthogonalize(w,evec,k); // orthonormalise
-      std::cout<<GridLogDebug << "Orthogonalised " <<k<<std::endl;
+      std::cout<<GridLogIRL << "Orthogonalised " <<k<<std::endl;
     }
 
     if(k < Nm-1) evec[k+1] = w;
 
-    std::cout<<GridLogIRL << "Lanczos step alpha[" << k << "] = " << zalph << " beta[" << k << "] = "<<beta<<std::endl;
+    std::cout<<GridLogIRL << "alpha[" << k << "] = " << zalph << " beta[" << k << "] = "<<beta<<std::endl;
     if ( beta < tiny ) 
       std::cout<<GridLogIRL << " beta is tiny "<<beta<<std::endl;
 
-    std::cout<<GridLogDebug << "Lanczos step complete " <<k<<std::endl;
+    std::cout<<GridLogIRL << "Lanczos step complete " <<k<<std::endl;
   }
 
   void diagonalize_Eigen(std::vector<RealD>& lmd, std::vector<RealD>& lme, 

Grid/algorithms/iterative/NormalEquations.h

@@ -33,7 +33,7 @@ NAMESPACE_BEGIN(Grid);
 ///////////////////////////////////////////////////////////////////////////////////////////////////////
 // Take a matrix and form an NE solver calling a Herm solver
 ///////////////////////////////////////////////////////////////////////////////////////////////////////
-template<class Field> class NormalEquations : public LinearFunction<Field>{
+template<class Field> class NormalEquations {
 private:
   SparseMatrixBase<Field> & _Matrix;
   OperatorFunction<Field> & _HermitianSolver;
@@ -60,7 +60,7 @@ public:
   }     
 };
 
-template<class Field> class HPDSolver : public LinearFunction<Field> {
+template<class Field> class HPDSolver {
 private:
   LinearOperatorBase<Field> & _Matrix;
   OperatorFunction<Field> & _HermitianSolver;
@@ -78,13 +78,13 @@ public:
   void operator() (const Field &in, Field &out){
  
     _Guess(in,out);
-    _HermitianSolver(_Matrix,in,out);  //M out = in
+    _HermitianSolver(_Matrix,in,out);  // Mdag M out = Mdag in
 
   }     
 };
 
 
-template<class Field> class MdagMSolver : public LinearFunction<Field> {
+template<class Field> class MdagMSolver {
 private:
   SparseMatrixBase<Field> & _Matrix;
   OperatorFunction<Field> & _HermitianSolver;

Grid/algorithms/iterative/PowerMethod.h

@@ -20,7 +20,7 @@ template<class Field> class PowerMethod
     RealD evalMaxApprox = 0.0; 
     auto src_n = src; 
     auto tmp = src; 
-    const int _MAX_ITER_EST_ = 100; 
+    const int _MAX_ITER_EST_ = 50; 
 
     for (int i=0;i<_MAX_ITER_EST_;i++) { 
       

Grid/algorithms/multigrid/Aggregates.h

@@ -1,381 +0,0 @@
-/*************************************************************************************
-
-    Grid physics library, www.github.com/paboyle/Grid 
-
-    Source file: ./lib/algorithms/Aggregates.h
-
-    Copyright (C) 2015
-
-Author: Azusa Yamaguchi <ayamaguc@staffmail.ed.ac.uk>
-Author: Peter Boyle <paboyle@ph.ed.ac.uk>
-Author: Peter Boyle <peterboyle@Peters-MacBook-Pro-2.local>
-Author: paboyle <paboyle@ph.ed.ac.uk>
-
-    This program is free software; you can redistribute it and/or modify
-    it under the terms of the GNU General Public License as published by
-    the Free Software Foundation; either version 2 of the License, or
-    (at your option) any later version.
-
-    This program is distributed in the hope that it will be useful,
-    but WITHOUT ANY WARRANTY; without even the implied warranty of
-    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-    GNU General Public License for more details.
-
-    You should have received a copy of the GNU General Public License along
-    with this program; if not, write to the Free Software Foundation, Inc.,
-    51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
-
-    See the full license in the file "LICENSE" in the top level distribution directory
-*************************************************************************************/
-/*  END LEGAL */
-#pragma once
-
-NAMESPACE_BEGIN(Grid);
-
-inline RealD AggregatePowerLaw(RealD x)
-{
-  //  return std::pow(x,-4);
-  //  return std::pow(x,-3);
-  return std::pow(x,-5);
-}
-
-template<class Fobj,class CComplex,int nbasis>
-class Aggregation {
-public:
-  typedef iVector<CComplex,nbasis >             siteVector;
-  typedef Lattice<siteVector>                 CoarseVector;
-  typedef Lattice<iMatrix<CComplex,nbasis > > CoarseMatrix;
-
-  typedef Lattice< CComplex >   CoarseScalar; // used for inner products on fine field
-  typedef Lattice<Fobj >        FineField;
-
-  GridBase *CoarseGrid;
-  GridBase *FineGrid;
-  std::vector<Lattice<Fobj> > subspace;
-  int checkerboard;
-  int Checkerboard(void){return checkerboard;}
-  Aggregation(GridBase *_CoarseGrid,GridBase *_FineGrid,int _checkerboard) : 
-    CoarseGrid(_CoarseGrid),
-    FineGrid(_FineGrid),
-    subspace(nbasis,_FineGrid),
-    checkerboard(_checkerboard)
-  {
-  };
-  
-  
-  void Orthogonalise(void){
-    CoarseScalar InnerProd(CoarseGrid); 
-    //    std::cout << GridLogMessage <<" Block Gramm-Schmidt pass 1"<<std::endl;
-    blockOrthogonalise(InnerProd,subspace);
-  } 
-  void ProjectToSubspace(CoarseVector &CoarseVec,const FineField &FineVec){
-    blockProject(CoarseVec,FineVec,subspace);
-  }
-  void PromoteFromSubspace(const CoarseVector &CoarseVec,FineField &FineVec){
-    FineVec.Checkerboard() = subspace[0].Checkerboard();
-    blockPromote(CoarseVec,FineVec,subspace);
-  }
-
-  virtual void CreateSubspaceRandom(GridParallelRNG  &RNG) {
-    int nn=nbasis;
-    RealD scale;
-    FineField noise(FineGrid);
-    for(int b=0;b<nn;b++){
-      subspace[b] = Zero();
-      gaussian(RNG,noise);
-      scale = std::pow(norm2(noise),-0.5); 
-      noise=noise*scale;
-      subspace[b] = noise;
-    }
-  }
-  virtual void CreateSubspace(GridParallelRNG  &RNG,LinearOperatorBase<FineField> &hermop,int nn=nbasis)
-  {
-
-    RealD scale;
-
-    ConjugateGradient<FineField> CG(1.0e-2,100,false);
-    FineField noise(FineGrid);
-    FineField Mn(FineGrid);
-
-    for(int b=0;b<nn;b++){
-      
-      subspace[b] = Zero();
-      gaussian(RNG,noise);
-      scale = std::pow(norm2(noise),-0.5); 
-      noise=noise*scale;
-      
-      hermop.Op(noise,Mn); std::cout<<GridLogMessage << "noise   ["<<b<<"] <n|MdagM|n> "<<norm2(Mn)<<std::endl;
-
-      for(int i=0;i<1;i++){
-
-	CG(hermop,noise,subspace[b]);
-
-	noise = subspace[b];
-	scale = std::pow(norm2(noise),-0.5); 
-	noise=noise*scale;
-
-      }
-
-      hermop.Op(noise,Mn); std::cout<<GridLogMessage << "filtered["<<b<<"] <f|MdagM|f> "<<norm2(Mn)<<std::endl;
-      subspace[b]   = noise;
-
-    }
-  }
-
-  ////////////////////////////////////////////////////////////////////////////////////////////////
-  // World of possibilities here. But have tried quite a lot of experiments (250+ jobs run on Summit)
-  // and this is the best I found
-  ////////////////////////////////////////////////////////////////////////////////////////////////
-
-  virtual void CreateSubspaceChebyshev(GridParallelRNG  &RNG,LinearOperatorBase<FineField> &hermop,
-				       int nn,
-				       double hi,
-				       double lo,
-				       int orderfilter,
-				       int ordermin,
-				       int orderstep,
-				       double filterlo
-				       ) {
-
-    RealD scale;
-
-    FineField noise(FineGrid);
-    FineField Mn(FineGrid);
-    FineField tmp(FineGrid);
-
-    // New normalised noise
-    gaussian(RNG,noise);
-    scale = std::pow(norm2(noise),-0.5); 
-    noise=noise*scale;
-
-    std::cout << GridLogMessage<<" Chebyshev subspace pass-1 : ord "<<orderfilter<<" ["<<lo<<","<<hi<<"]"<<std::endl;
-    std::cout << GridLogMessage<<" Chebyshev subspace pass-2 : nbasis"<<nn<<" min "
-	      <<ordermin<<" step "<<orderstep
-	      <<" lo"<<filterlo<<std::endl;
-
-    // Initial matrix element
-    hermop.Op(noise,Mn); std::cout<<GridLogMessage << "noise <n|MdagM|n> "<<norm2(Mn)<<std::endl;
-
-    int b =0;
-    {
-      // Filter
-      Chebyshev<FineField> Cheb(lo,hi,orderfilter);
-      Cheb(hermop,noise,Mn);
-      // normalise
-      scale = std::pow(norm2(Mn),-0.5); 	Mn=Mn*scale;
-      subspace[b]   = Mn;
-      hermop.Op(Mn,tmp); 
-      std::cout<<GridLogMessage << "filt ["<<b<<"] <n|MdagM|n> "<<norm2(tmp)<<std::endl;
-      b++;
-    }
-
-    // Generate a full sequence of Chebyshevs
-    {
-      lo=filterlo;
-      noise=Mn;
-
-      FineField T0(FineGrid); T0 = noise;  
-      FineField T1(FineGrid); 
-      FineField T2(FineGrid);
-      FineField y(FineGrid);
-      
-      FineField *Tnm = &T0;
-      FineField *Tn  = &T1;
-      FineField *Tnp = &T2;
-
-      // Tn=T1 = (xscale M + mscale)in
-      RealD xscale = 2.0/(hi-lo);
-      RealD mscale = -(hi+lo)/(hi-lo);
-      hermop.HermOp(T0,y);
-      T1=y*xscale+noise*mscale;
-
-      for(int n=2;n<=ordermin+orderstep*(nn-2);n++){
-	
-	hermop.HermOp(*Tn,y);
-
-	autoView( y_v , y, AcceleratorWrite);
-	autoView( Tn_v , (*Tn), AcceleratorWrite);
-	autoView( Tnp_v , (*Tnp), AcceleratorWrite);
-	autoView( Tnm_v , (*Tnm), AcceleratorWrite);
-	const int Nsimd = CComplex::Nsimd();
-	accelerator_for(ss, FineGrid->oSites(), Nsimd, {
-	  coalescedWrite(y_v[ss],xscale*y_v(ss)+mscale*Tn_v(ss));
-	  coalescedWrite(Tnp_v[ss],2.0*y_v(ss)-Tnm_v(ss));
-        });
-
-	// Possible more fine grained control is needed than a linear sweep,
-	// but huge productivity gain if this is simple algorithm and not a tunable
-	int m =1;
-	if ( n>=ordermin ) m=n-ordermin;
-	if ( (m%orderstep)==0 ) { 
-	  Mn=*Tnp;
-	  scale = std::pow(norm2(Mn),-0.5);         Mn=Mn*scale;
-	  subspace[b] = Mn;
-	  hermop.Op(Mn,tmp); 
-	  std::cout<<GridLogMessage << n<<" filt ["<<b<<"] <n|MdagM|n> "<<norm2(tmp)<<std::endl;
-	  b++;
-	}
-
-	// Cycle pointers to avoid copies
-	FineField *swizzle = Tnm;
-	Tnm    =Tn;
-	Tn     =Tnp;
-	Tnp    =swizzle;
-	  
-      }
-    }
-    assert(b==nn);
-  }
-  virtual void CreateSubspaceChebyshev(GridParallelRNG  &RNG,LinearOperatorBase<FineField> &hermop,
-				       int nn,
-				       double hi,
-				       double lo,
-				       int orderfilter
-				       ) {
-
-    RealD scale;
-
-    FineField noise(FineGrid);
-    FineField Mn(FineGrid);
-    FineField tmp(FineGrid);
-
-    // New normalised noise
-    std::cout << GridLogMessage<<" Chebyshev subspace pure noise : ord "<<orderfilter<<" ["<<lo<<","<<hi<<"]"<<std::endl;
-    std::cout << GridLogMessage<<" Chebyshev subspace pure noise  : nbasis "<<nn<<std::endl;
-
-
-    for(int b =0;b<nbasis;b++)
-    {
-      gaussian(RNG,noise);
-      scale = std::pow(norm2(noise),-0.5); 
-      noise=noise*scale;
-
-      // Initial matrix element
-      hermop.Op(noise,Mn);
-      if(b==0) std::cout<<GridLogMessage << "noise <n|MdagM|n> "<<norm2(Mn)<<std::endl;
-
-      // Filter
-      Chebyshev<FineField> Cheb(lo,hi,orderfilter);
-      Cheb(hermop,noise,Mn);
-      scale = std::pow(norm2(Mn),-0.5); 	Mn=Mn*scale;
-
-      // Refine
-      Chebyshev<FineField> PowerLaw(lo,hi,1000,AggregatePowerLaw);
-      noise = Mn;
-      PowerLaw(hermop,noise,Mn);
-      scale = std::pow(norm2(Mn),-0.5); 	Mn=Mn*scale;
-
-      // normalise
-      subspace[b]   = Mn;
-      hermop.Op(Mn,tmp); 
-      std::cout<<GridLogMessage << "filt ["<<b<<"] <n|MdagM|n> "<<norm2(tmp)<<std::endl;
-    }
-
-  }
-
-  virtual void CreateSubspaceChebyshevPowerLaw(GridParallelRNG  &RNG,LinearOperatorBase<FineField> &hermop,
-					       int nn,
-					       double hi,
-					       int orderfilter
-					       ) {
-
-    RealD scale;
-
-    FineField noise(FineGrid);
-    FineField Mn(FineGrid);
-    FineField tmp(FineGrid);
-
-    // New normalised noise
-    std::cout << GridLogMessage<<" Chebyshev subspace pure noise : ord "<<orderfilter<<" [0,"<<hi<<"]"<<std::endl;
-    std::cout << GridLogMessage<<" Chebyshev subspace pure noise  : nbasis "<<nn<<std::endl;
-
-    for(int b =0;b<nbasis;b++)
-    {
-      gaussian(RNG,noise);
-      scale = std::pow(norm2(noise),-0.5); 
-      noise=noise*scale;
-
-      // Initial matrix element
-      hermop.Op(noise,Mn);
-      if(b==0) std::cout<<GridLogMessage << "noise <n|MdagM|n> "<<norm2(Mn)<<std::endl;
-      // Filter
-      Chebyshev<FineField> Cheb(0.0,hi,orderfilter,AggregatePowerLaw);
-      Cheb(hermop,noise,Mn);
-      // normalise
-      scale = std::pow(norm2(Mn),-0.5); 	Mn=Mn*scale;
-      subspace[b]   = Mn;
-      hermop.Op(Mn,tmp); 
-      std::cout<<GridLogMessage << "filt ["<<b<<"] <n|MdagM|n> "<<norm2(tmp)<<std::endl;
-    }
-
-  }
-
-  virtual void CreateSubspaceMultishift(GridParallelRNG  &RNG,LinearOperatorBase<FineField> &hermop,
-					double Lo,double tol,int maxit)
-  {
-
-    RealD scale;
-
-    FineField noise(FineGrid);
-    FineField Mn(FineGrid);
-    FineField tmp(FineGrid);
-
-    // New normalised noise
-    std::cout << GridLogMessage<<" Multishift subspace : Lo "<<Lo<<std::endl;
-
-    // Filter
-    // [ 1/6(x+Lo)  - 1/2(x+2Lo) + 1/2(x+3Lo)  -1/6(x+4Lo) = Lo^3 /[ (x+1Lo)(x+2Lo)(x+3Lo)(x+4Lo) ]
-    //
-    // 1/(x+Lo)  - 1/(x+2 Lo)
-    double epsilon      = Lo/3;
-    std::vector<RealD> alpha({1.0/6.0,-1.0/2.0,1.0/2.0,-1.0/6.0});
-    std::vector<RealD> shifts({Lo,Lo+epsilon,Lo+2*epsilon,Lo+3*epsilon});
-    std::vector<RealD> tols({tol,tol,tol,tol});
-    std::cout << "sizes "<<alpha.size()<<" "<<shifts.size()<<" "<<tols.size()<<std::endl;
-
-    MultiShiftFunction msf(4,0.0,95.0);
-    std::cout << "msf constructed "<<std::endl;
-    msf.poles=shifts;
-    msf.residues=alpha;
-    msf.tolerances=tols;
-    msf.norm=0.0;
-    msf.order=alpha.size();
-    ConjugateGradientMultiShift<FineField> MSCG(maxit,msf);
-    
-    for(int b =0;b<nbasis;b++)
-    {
-      gaussian(RNG,noise);
-      scale = std::pow(norm2(noise),-0.5); 
-      noise=noise*scale;
-
-      // Initial matrix element
-      hermop.Op(noise,Mn);
-      if(b==0) std::cout<<GridLogMessage << "noise <n|MdagM|n> "<<norm2(Mn)<<std::endl;
-
-      MSCG(hermop,noise,Mn);
-      scale = std::pow(norm2(Mn),-0.5); 	Mn=Mn*scale;
-      subspace[b]   = Mn;
-      hermop.Op(Mn,tmp); 
-      std::cout<<GridLogMessage << "filt ["<<b<<"] <n|MdagM|n> "<<norm2(tmp)<<std::endl;
-
-    }
-
-  }
-  virtual void RefineSubspace(LinearOperatorBase<FineField> &hermop,
-			      double Lo,double tol,int maxit)
-  {
-    FineField tmp(FineGrid);
-    for(int b =0;b<nbasis;b++)
-    {
-      RealD MirsShift = Lo;
-      ConjugateGradient<FineField>  CGsloppy(tol,maxit,false);
-      ShiftedHermOpLinearOperator<FineField> ShiftedFineHermOp(hermop,MirsShift);
-      CGsloppy(hermop,subspace[b],tmp);
-      subspace[b]=tmp;
-    }
-  }
-
-  
-  
-};
-NAMESPACE_END(Grid);

Grid/algorithms/multigrid/GeneralCoarsenedMatrix.h

@@ -1,467 +0,0 @@
-/*************************************************************************************
-
-    Grid physics library, www.github.com/paboyle/Grid 
-
-    Source file: ./lib/algorithms/GeneralCoarsenedMatrix.h
-
-    Copyright (C) 2015
-
-Author: Peter Boyle <pboyle@bnl.gov>
-
-    This program is free software; you can redistribute it and/or modify
-    it under the terms of the GNU General Public License as published by
-    the Free Software Foundation; either version 2 of the License, or
-    (at your option) any later version.
-
-    This program is distributed in the hope that it will be useful,
-    but WITHOUT ANY WARRANTY; without even the implied warranty of
-    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-    GNU General Public License for more details.
-
-    You should have received a copy of the GNU General Public License along
-    with this program; if not, write to the Free Software Foundation, Inc.,
-    51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
-
-    See the full license in the file "LICENSE" in the top level distribution directory
-*************************************************************************************/
-/*  END LEGAL */
-#pragma once
-
-#include <Grid/qcd/QCD.h> // needed for Dagger(Yes|No), Inverse(Yes|No)
-
-#include <Grid/lattice/PaddedCell.h>
-#include <Grid/stencil/GeneralLocalStencil.h>
-
-NAMESPACE_BEGIN(Grid);
-
-// Fine Object == (per site) type of fine field
-// nbasis      == number of deflation vectors
-template<class Fobj,class CComplex,int nbasis>
-class GeneralCoarsenedMatrix : public SparseMatrixBase<Lattice<iVector<CComplex,nbasis > > >  {
-public:
-
-  typedef GeneralCoarsenedMatrix<Fobj,CComplex,nbasis> GeneralCoarseOp;
-  typedef iVector<CComplex,nbasis >           siteVector;
-  typedef iMatrix<CComplex,nbasis >           siteMatrix;
-  typedef Lattice<iScalar<CComplex> >         CoarseComplexField;
-  typedef Lattice<siteVector>                 CoarseVector;
-  typedef Lattice<iMatrix<CComplex,nbasis > > CoarseMatrix;
-  typedef iMatrix<CComplex,nbasis >  Cobj;
-  typedef iVector<CComplex,nbasis >  Cvec;
-  typedef Lattice< CComplex >   CoarseScalar; // used for inner products on fine field
-  typedef Lattice<Fobj >        FineField;
-  typedef Lattice<CComplex >    FineComplexField;
-  typedef CoarseVector Field;
-  ////////////////////
-  // Data members
-  ////////////////////
-  int hermitian;
-  GridBase      *       _FineGrid; 
-  GridCartesian *       _CoarseGrid; 
-  NonLocalStencilGeometry &geom;
-  PaddedCell Cell;
-  GeneralLocalStencil Stencil;
-  
-  std::vector<CoarseMatrix> _A;
-  std::vector<CoarseMatrix> _Adag;
-  std::vector<CoarseVector> MultTemporaries;
-
-  ///////////////////////
-  // Interface
-  ///////////////////////
-  GridBase      * Grid(void)           { return _CoarseGrid; };   // this is all the linalg routines need to know
-  GridBase      * FineGrid(void)       { return _FineGrid; };   // this is all the linalg routines need to know
-  GridCartesian * CoarseGrid(void)     { return _CoarseGrid; };   // this is all the linalg routines need to know
-
-  void ShiftMatrix(RealD shift)
-  {
-    int Nd=_FineGrid->Nd(); 
-    Coordinate zero_shift(Nd,0);
-    for(int p=0;p<geom.npoint;p++){
-      if ( zero_shift==geom.shifts[p] ) {
-	_A[p] = _A[p]+shift;
-	_Adag[p] = _Adag[p]+shift;
-      }
-    }    
-  }
-  void ProjectNearestNeighbour(RealD shift, GeneralCoarseOp &CopyMe)
-  {
-    int nfound=0;
-    std::cout << GridLogMessage <<"GeneralCoarsenedMatrix::ProjectNearestNeighbour "<< CopyMe._A[0].Grid()<<std::endl;
-    for(int p=0;p<geom.npoint;p++){
-      for(int pp=0;pp<CopyMe.geom.npoint;pp++){
- 	// Search for the same relative shift
-	// Avoids brutal handling of Grid pointers
-	if ( CopyMe.geom.shifts[pp]==geom.shifts[p] ) {
-	  _A[p] = CopyMe.Cell.Extract(CopyMe._A[pp]);
-	  _Adag[p] = CopyMe.Cell.Extract(CopyMe._Adag[pp]);
-	  nfound++;
-	}
-      }
-    }
-    assert(nfound==geom.npoint);
-    ExchangeCoarseLinks();
-  }
-  
-  GeneralCoarsenedMatrix(NonLocalStencilGeometry &_geom,GridBase *FineGrid, GridCartesian * CoarseGrid)
-    : geom(_geom),
-      _FineGrid(FineGrid),
-      _CoarseGrid(CoarseGrid),
-      hermitian(1),
-      Cell(_geom.Depth(),_CoarseGrid),
-      Stencil(Cell.grids.back(),geom.shifts)
-  {
-    {
-      int npoint = _geom.npoint;
-    }
-    _A.resize(geom.npoint,CoarseGrid);
-    _Adag.resize(geom.npoint,CoarseGrid);
-  }
-  void M (const CoarseVector &in, CoarseVector &out)
-  {
-    Mult(_A,in,out);
-  }
-  void Mdag (const CoarseVector &in, CoarseVector &out)
-  {
-    if ( hermitian ) M(in,out);
-    else Mult(_Adag,in,out);
-  }
-  void Mult (std::vector<CoarseMatrix> &A,const CoarseVector &in, CoarseVector &out)
-  {
-    RealD tviews=0;    RealD ttot=0;    RealD tmult=0;   RealD texch=0;    RealD text=0; RealD ttemps=0; RealD tcopy=0;
-    RealD tmult2=0;
-
-    ttot=-usecond();
-    conformable(CoarseGrid(),in.Grid());
-    conformable(in.Grid(),out.Grid());
-    out.Checkerboard() = in.Checkerboard();
-    CoarseVector tin=in;
-
-    texch-=usecond();
-    CoarseVector pin = Cell.ExchangePeriodic(tin);
-    texch+=usecond();
-
-    CoarseVector pout(pin.Grid());
-
-    int npoint = geom.npoint;
-    typedef LatticeView<Cobj> Aview;
-    typedef LatticeView<Cvec> Vview;
-      
-    const int Nsimd = CComplex::Nsimd();
-    
-    int64_t osites=pin.Grid()->oSites();
-
-    RealD flops = 1.0* npoint * nbasis * nbasis * 8.0 * osites * CComplex::Nsimd();
-    RealD bytes = 1.0*osites*sizeof(siteMatrix)*npoint
-                + 2.0*osites*sizeof(siteVector)*npoint;
-      
-    {
-      tviews-=usecond();
-      autoView( in_v , pin, AcceleratorRead);
-      autoView( out_v , pout, AcceleratorWriteDiscard);
-      autoView( Stencil_v  , Stencil, AcceleratorRead);
-      tviews+=usecond();
-
-      // Static and prereserve to keep UVM region live and not resized across multiple calls
-      ttemps-=usecond();
-      MultTemporaries.resize(npoint,pin.Grid());       
-      ttemps+=usecond();
-      std::vector<Aview> AcceleratorViewContainer_h;
-      std::vector<Vview> AcceleratorVecViewContainer_h; 
-
-      tviews-=usecond();
-      for(int p=0;p<npoint;p++) {
-	AcceleratorViewContainer_h.push_back(      A[p].View(AcceleratorRead));
-	AcceleratorVecViewContainer_h.push_back(MultTemporaries[p].View(AcceleratorWrite));
-      }
-      tviews+=usecond();
-
-      static deviceVector<Aview> AcceleratorViewContainer; AcceleratorViewContainer.resize(npoint);
-      static deviceVector<Vview> AcceleratorVecViewContainer; AcceleratorVecViewContainer.resize(npoint); 
-      
-      auto Aview_p = &AcceleratorViewContainer[0];
-      auto Vview_p = &AcceleratorVecViewContainer[0];
-      tcopy-=usecond();
-      acceleratorCopyToDevice(&AcceleratorViewContainer_h[0],&AcceleratorViewContainer[0],npoint *sizeof(Aview));
-      acceleratorCopyToDevice(&AcceleratorVecViewContainer_h[0],&AcceleratorVecViewContainer[0],npoint *sizeof(Vview));
-      tcopy+=usecond();
-
-      tmult-=usecond();
-      accelerator_for(spb, osites*nbasis*npoint, Nsimd, {
-	  typedef decltype(coalescedRead(in_v[0](0))) calcComplex;
-	  int32_t ss   = spb/(nbasis*npoint);
-	  int32_t bp   = spb%(nbasis*npoint);
-	  int32_t point= bp/nbasis;
-	  int32_t b    = bp%nbasis;
-	  auto SE  = Stencil_v.GetEntry(point,ss);
-	  auto nbr = coalescedReadGeneralPermute(in_v[SE->_offset],SE->_permute,Nd);
-	  auto res = coalescedRead(Aview_p[point][ss](0,b))*nbr(0);
-	  for(int bb=1;bb<nbasis;bb++) {
-	    res = res + coalescedRead(Aview_p[point][ss](bb,b))*nbr(bb);
-	  }
-	  coalescedWrite(Vview_p[point][ss](b),res);
-      });
-      tmult2-=usecond();
-      accelerator_for(sb, osites*nbasis, Nsimd, {
-	  int ss = sb/nbasis;
-	  int b  = sb%nbasis;
-	  auto res = coalescedRead(Vview_p[0][ss](b));
-	  for(int point=1;point<npoint;point++){
-	    res = res + coalescedRead(Vview_p[point][ss](b));
-	  }
-	  coalescedWrite(out_v[ss](b),res);
-      });
-      tmult2+=usecond();
-      tmult+=usecond();
-      for(int p=0;p<npoint;p++) {
-	AcceleratorViewContainer_h[p].ViewClose();
-	AcceleratorVecViewContainer_h[p].ViewClose();
-      }
-    }
-
-    text-=usecond();
-    out = Cell.Extract(pout);
-    text+=usecond();
-    ttot+=usecond();
-    
-    std::cout << GridLogPerformance<<"Coarse 1rhs Mult Aviews "<<tviews<<" us"<<std::endl;
-    std::cout << GridLogPerformance<<"Coarse Mult exch "<<texch<<" us"<<std::endl;
-    std::cout << GridLogPerformance<<"Coarse Mult mult "<<tmult<<" us"<<std::endl;
-    std::cout << GridLogPerformance<<" of which mult2  "<<tmult2<<" us"<<std::endl;
-    std::cout << GridLogPerformance<<"Coarse Mult ext  "<<text<<" us"<<std::endl;
-    std::cout << GridLogPerformance<<"Coarse Mult temps "<<ttemps<<" us"<<std::endl;
-    std::cout << GridLogPerformance<<"Coarse Mult copy  "<<tcopy<<" us"<<std::endl;
-    std::cout << GridLogPerformance<<"Coarse Mult tot  "<<ttot<<" us"<<std::endl;
-    //    std::cout << GridLogPerformance<<std::endl;
-    std::cout << GridLogPerformance<<"Coarse Kernel flops "<< flops<<std::endl;
-    std::cout << GridLogPerformance<<"Coarse Kernel flop/s "<< flops/tmult<<" mflop/s"<<std::endl;
-    std::cout << GridLogPerformance<<"Coarse Kernel bytes/s "<< bytes/tmult<<" MB/s"<<std::endl;
-    std::cout << GridLogPerformance<<"Coarse overall flops/s "<< flops/ttot<<" mflop/s"<<std::endl;
-    std::cout << GridLogPerformance<<"Coarse total bytes   "<< bytes/1e6<<" MB"<<std::endl;
-
-  };
-  
-  void PopulateAdag(void)
-  {
-    for(int64_t bidx=0;bidx<CoarseGrid()->gSites() ;bidx++){
-      Coordinate bcoor;
-      CoarseGrid()->GlobalIndexToGlobalCoor(bidx,bcoor);
-      
-      for(int p=0;p<geom.npoint;p++){
-	Coordinate scoor = bcoor;
-	for(int mu=0;mu<bcoor.size();mu++){
-	  int L = CoarseGrid()->GlobalDimensions()[mu];
-	  scoor[mu] = (bcoor[mu] - geom.shifts[p][mu] + L) % L; // Modulo arithmetic
-	}
-	// Flip to poke/peekLocalSite and not too bad
-	auto link = peekSite(_A[p],scoor);
-	int pp = geom.Reverse(p);
-	pokeSite(adj(link),_Adag[pp],bcoor);
-      }
-    }
-  }
-  /////////////////////////////////////////////////////////////
-  // 
-  // A) Only reduced flops option is to use a padded cell of depth 4
-  // and apply MpcDagMpc in the padded cell.
-  //
-  // Makes for ONE application of MpcDagMpc per vector instead of 30 or 80.
-  // With the effective cell size around (B+8)^4 perhaps 12^4/4^4 ratio
-  // Cost is 81x more, same as stencil size.
-  //
-  // But: can eliminate comms and do as local dirichlet.
-  //
-  // Local exchange gauge field once.
-  // Apply to all vectors, local only computation.
-  // Must exchange ghost subcells in reverse process of PaddedCell to take inner products
-  //
-  // B) Can reduce cost: pad by 1, apply Deo      (4^4+6^4+8^4+8^4 )/ (4x 4^4)
-  //                     pad by 2, apply Doe
-  //                     pad by 3, apply Deo
-  //                     then break out 8x directions; cost is ~10x MpcDagMpc per vector
-  //
-  // => almost factor of 10 in setup cost, excluding data rearrangement
-  //
-  // Intermediates -- ignore the corner terms, leave approximate and force Hermitian
-  // Intermediates -- pad by 2 and apply 1+8+24 = 33 times.
-  /////////////////////////////////////////////////////////////
-
-    //////////////////////////////////////////////////////////
-    // BFM HDCG style approach: Solve a system of equations to get Aij
-    //////////////////////////////////////////////////////////
-    /*
-     *     Here, k,l index which possible shift within the 3^Nd "ball" connected by MdagM.
-     *
-     *     conj(phases[block]) proj[k][ block*Nvec+j ] =  \sum_ball  e^{i q_k . delta} < phi_{block,j} | MdagM | phi_{(block+delta),i} > 
-     *                                                 =  \sum_ball e^{iqk.delta} A_ji
-     *
-     *     Must invert matrix M_k,l = e^[i q_k . delta_l]
-     *
-     *     Where q_k = delta_k . (2*M_PI/global_nb[mu])
-     */
-  void CoarsenOperator(LinearOperatorBase<Lattice<Fobj> > &linop,
-		       Aggregation<Fobj,CComplex,nbasis> & Subspace)
-  {
-    std::cout << GridLogMessage<< "GeneralCoarsenMatrix "<< std::endl;
-    GridBase *grid = FineGrid();
-
-    RealD tproj=0.0;
-    RealD teigen=0.0;
-    RealD tmat=0.0;
-    RealD tphase=0.0;
-    RealD tphaseBZ=0.0;
-    RealD tinv=0.0;
-
-    /////////////////////////////////////////////////////////////
-    // Orthogonalise the subblocks over the basis
-    /////////////////////////////////////////////////////////////
-    CoarseScalar InnerProd(CoarseGrid()); 
-    blockOrthogonalise(InnerProd,Subspace.subspace);
-
-    const int npoint = geom.npoint;
-      
-    Coordinate clatt = CoarseGrid()->GlobalDimensions();
-    int Nd = CoarseGrid()->Nd();
-
-      /*
-       *     Here, k,l index which possible momentum/shift within the N-points connected by MdagM.
-       *     Matrix index i is mapped to this shift via 
-       *               geom.shifts[i]
-       *
-       *     conj(pha[block]) proj[k (which mom)][j (basis vec cpt)][block] 
-       *       =  \sum_{l in ball}  e^{i q_k . delta_l} < phi_{block,j} | MdagM | phi_{(block+delta_l),i} > 
-       *       =  \sum_{l in ball} e^{iqk.delta_l} A_ji^{b.b+l}
-       *       = M_{kl} A_ji^{b.b+l}
-       *
-       *     Must assemble and invert matrix M_k,l = e^[i q_k . delta_l]
-       *  
-       *     Where q_k = delta_k . (2*M_PI/global_nb[mu])
-       *
-       *     Then A{ji}^{b,b+l} = M^{-1}_{lm} ComputeProj_{m,b,i,j}
-       */
-    teigen-=usecond();
-    Eigen::MatrixXcd Mkl    = Eigen::MatrixXcd::Zero(npoint,npoint);
-    Eigen::MatrixXcd invMkl = Eigen::MatrixXcd::Zero(npoint,npoint);
-    ComplexD ci(0.0,1.0);
-    for(int k=0;k<npoint;k++){ // Loop over momenta
-
-      for(int l=0;l<npoint;l++){ // Loop over nbr relative
-	ComplexD phase(0.0,0.0);
-	for(int mu=0;mu<Nd;mu++){
-	  RealD TwoPiL =  M_PI * 2.0/ clatt[mu];
-	  phase=phase+TwoPiL*geom.shifts[k][mu]*geom.shifts[l][mu];
-	}
-	phase=exp(phase*ci);
-	Mkl(k,l) = phase;
-      }
-    }
-    invMkl = Mkl.inverse();
-    teigen+=usecond();
-
-    ///////////////////////////////////////////////////////////////////////
-    // Now compute the matrix elements of linop between the orthonormal
-    // set of vectors.
-    ///////////////////////////////////////////////////////////////////////
-    FineField phaV(grid); // Phased block basis vector
-    FineField MphaV(grid);// Matrix applied
-    std::vector<FineComplexField> phaF(npoint,grid);
-    std::vector<CoarseComplexField> pha(npoint,CoarseGrid());
-    
-    CoarseVector coarseInner(CoarseGrid());
-    
-    typedef typename CComplex::scalar_type SComplex;
-    FineComplexField one(grid); one=SComplex(1.0);
-    FineComplexField zz(grid); zz = Zero();
-    tphase=-usecond();
-    for(int p=0;p<npoint;p++){ // Loop over momenta in npoint
-      /////////////////////////////////////////////////////
-      // Stick a phase on every block
-      /////////////////////////////////////////////////////
-      CoarseComplexField coor(CoarseGrid());
-      pha[p]=Zero();
-      for(int mu=0;mu<Nd;mu++){
-	LatticeCoordinate(coor,mu);
-	RealD TwoPiL =  M_PI * 2.0/ clatt[mu];
-	pha[p] = pha[p] + (TwoPiL * geom.shifts[p][mu]) * coor;
-      }
-      pha[p]  =exp(pha[p]*ci);
-
-      blockZAXPY(phaF[p],pha[p],one,zz);
-      
-    }
-    tphase+=usecond();
-    
-    std::vector<CoarseVector> ComputeProj(npoint,CoarseGrid());
-    std::vector<CoarseVector>          FT(npoint,CoarseGrid());
-    for(int i=0;i<nbasis;i++){// Loop over basis vectors
-      std::cout << GridLogMessage<< "CoarsenMatrixColoured vec "<<i<<"/"<<nbasis<< std::endl;
-      for(int p=0;p<npoint;p++){ // Loop over momenta in npoint
-	tphaseBZ-=usecond();
-	phaV = phaF[p]*Subspace.subspace[i];
-	tphaseBZ+=usecond();
-
-	/////////////////////////////////////////////////////////////////////
-	// Multiple phased subspace vector by matrix and project to subspace
-	// Remove local bulk phase to leave relative phases
-	/////////////////////////////////////////////////////////////////////
-	tmat-=usecond();
-	linop.Op(phaV,MphaV);
-	tmat+=usecond();
-
-	tproj-=usecond();
-	blockProjectFast(coarseInner,MphaV,Subspace.subspace);
-	coarseInner = conjugate(pha[p]) * coarseInner;
-
-	ComputeProj[p] = coarseInner;
-	tproj+=usecond();
-
-      }
-
-      tinv-=usecond();
-      for(int k=0;k<npoint;k++){
-	FT[k] = Zero();
-	for(int l=0;l<npoint;l++){
-	  FT[k]= FT[k]+ invMkl(l,k)*ComputeProj[l];
-	}
-      
-	int osites=CoarseGrid()->oSites();
-	autoView( A_v  , _A[k], AcceleratorWrite);
-	autoView( FT_v  , FT[k], AcceleratorRead);
-	accelerator_for(sss, osites, 1, {
-	    for(int j=0;j<nbasis;j++){
-	      A_v[sss](i,j) = FT_v[sss](j);
-	    }
-        });
-      }
-      tinv+=usecond();
-    }
-
-    // Only needed if nonhermitian
-    if ( ! hermitian ) {
-      std::cout << GridLogMessage<<"PopulateAdag  "<<std::endl;
-      PopulateAdag();
-    }
-
-    // Need to write something to populate Adag from A
-    ExchangeCoarseLinks();
-    std::cout << GridLogMessage<<"CoarsenOperator eigen  "<<teigen<<" us"<<std::endl;
-    std::cout << GridLogMessage<<"CoarsenOperator phase  "<<tphase<<" us"<<std::endl;
-    std::cout << GridLogMessage<<"CoarsenOperator phaseBZ "<<tphaseBZ<<" us"<<std::endl;
-    std::cout << GridLogMessage<<"CoarsenOperator mat    "<<tmat <<" us"<<std::endl;
-    std::cout << GridLogMessage<<"CoarsenOperator proj   "<<tproj<<" us"<<std::endl;
-    std::cout << GridLogMessage<<"CoarsenOperator inv    "<<tinv<<" us"<<std::endl;
-  }
-  void ExchangeCoarseLinks(void){
-    for(int p=0;p<geom.npoint;p++){
-      _A[p] = Cell.ExchangePeriodic(_A[p]);
-      _Adag[p]= Cell.ExchangePeriodic(_Adag[p]);
-    }
-  }
-  virtual  void Mdiag    (const Field &in, Field &out){ assert(0);};
-  virtual  void Mdir     (const Field &in, Field &out,int dir, int disp){assert(0);};
-  virtual  void MdirAll  (const Field &in, std::vector<Field> &out){assert(0);};
-};
-
-
-  
-NAMESPACE_END(Grid);

Grid/algorithms/multigrid/GeneralCoarsenedMatrixMultiRHS.h

@@ -1,402 +0,0 @@
-/*************************************************************************************
-
-    Grid physics library, www.github.com/paboyle/Grid 
-
-    Source file: ./lib/algorithms/GeneralCoarsenedMatrixMultiRHS.h
-
-    Copyright (C) 2015
-
-Author: Peter Boyle <pboyle@bnl.gov>
-
-    This program is free software; you can redistribute it and/or modify
-    it under the terms of the GNU General Public License as published by
-    the Free Software Foundation; either version 2 of the License, or
-    (at your option) any later version.
-
-    This program is distributed in the hope that it will be useful,
-    but WITHOUT ANY WARRANTY; without even the implied warranty of
-    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-    GNU General Public License for more details.
-
-    You should have received a copy of the GNU General Public License along
-    with this program; if not, write to the Free Software Foundation, Inc.,
-    51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
-
-    See the full license in the file "LICENSE" in the top level distribution directory
-*************************************************************************************/
-/*  END LEGAL */
-#pragma once
-
-#include <Grid/algorithms/multigrid/BatchedBlas.h>
-
-NAMESPACE_BEGIN(Grid);
-
-
-// Move this to accelerator.h
-// Also give a copy device.
-// Rename acceleratorPut
-// Rename acceleratorGet
-template<class T> void deviceSet(T& dev,T&host)
-{
-  acceleratorCopyToDevice(&host,&dev,sizeof(T));
-}
-template<class T> T deviceGet(T& dev)
-{
-  T host;
-  acceleratorCopyFromDevice(&dev,&host,sizeof(T));
-  return host;
-}
-
-// Fine Object == (per site) type of fine field
-// nbasis      == number of deflation vectors
-template<class Fobj,class CComplex,int nbasis>
-class MultiGeneralCoarsenedMatrix : public SparseMatrixBase<Lattice<iVector<CComplex,nbasis > > >  {
-public:
-  typedef typename CComplex::scalar_object SComplex;
-  typedef GeneralCoarsenedMatrix<Fobj,CComplex,nbasis> GeneralCoarseOp;
-  typedef MultiGeneralCoarsenedMatrix<Fobj,CComplex,nbasis> MultiGeneralCoarseOp;
-
-  typedef iVector<CComplex,nbasis >           siteVector;
-  typedef iMatrix<CComplex,nbasis >           siteMatrix;
-  typedef iVector<SComplex,nbasis >           calcVector;
-  typedef iMatrix<SComplex,nbasis >           calcMatrix;
-  typedef Lattice<iScalar<CComplex> >         CoarseComplexField;
-  typedef Lattice<siteVector>                 CoarseVector;
-  typedef Lattice<iMatrix<CComplex,nbasis > > CoarseMatrix;
-  typedef iMatrix<CComplex,nbasis >  Cobj;
-  typedef iVector<CComplex,nbasis >  Cvec;
-  typedef Lattice< CComplex >   CoarseScalar; // used for inner products on fine field
-  typedef Lattice<Fobj >        FineField;
-  typedef CoarseVector Field;
-
-  ////////////////////
-  // Data members
-  ////////////////////
-  GridCartesian *       _CoarseGridMulti; 
-  GridCartesian *       _CoarseGrid;
-  GeneralCoarseOp &     _Op;
-  NonLocalStencilGeometry geom;
-  PaddedCell Cell;
-  GeneralLocalStencil Stencil;
-
-  deviceVector<calcVector> BLAS_B;
-  deviceVector<calcVector> BLAS_C;
-  std::vector<deviceVector<calcMatrix> > BLAS_A;
-
-  std::vector<deviceVector<ComplexD *> > BLAS_AP;
-  std::vector<deviceVector<ComplexD *> > BLAS_BP;
-  deviceVector<ComplexD *>               BLAS_CP;
-
-  ///////////////////////
-  // Interface
-  ///////////////////////
-  GridBase      * Grid(void)           { return _CoarseGridMulti; };   // this is all the linalg routines need to know
-  GridCartesian * CoarseGrid(void)     { return _CoarseGridMulti; };   // this is all the linalg routines need to know
-
-  MultiGeneralCoarsenedMatrix(GeneralCoarseOp & Op,GridCartesian *CoarseGridMulti) :
-    _Op(Op),
-    _CoarseGrid(Op.CoarseGrid()),
-    _CoarseGridMulti(CoarseGridMulti),
-    geom(_CoarseGridMulti,Op.geom.hops,Op.geom.skip+1),
-    Cell(Op.geom.Depth(),_CoarseGridMulti),
-    Stencil(Cell.grids.back(),geom.shifts) // padded cell stencil
-  {
-    int32_t padded_sites   = _Op._A[0].Grid()->lSites();
-    int32_t unpadded_sites = _CoarseGrid->lSites();
-    
-    int32_t nrhs  = CoarseGridMulti->FullDimensions()[0];  // # RHS
-    int32_t orhs  = nrhs/CComplex::Nsimd();
-
-    /////////////////////////////////////////////////
-    // Device data vector storage
-    /////////////////////////////////////////////////
-    BLAS_A.resize(geom.npoint);
-    for(int p=0;p<geom.npoint;p++){
-      BLAS_A[p].resize (unpadded_sites); // no ghost zone, npoint elements
-    }
-    BLAS_B.resize(nrhs *padded_sites);   // includes ghost zone
-    BLAS_C.resize(nrhs *unpadded_sites); // no ghost zone
-
-    BLAS_AP.resize(geom.npoint);
-    BLAS_BP.resize(geom.npoint);
-    for(int p=0;p<geom.npoint;p++){
-      BLAS_AP[p].resize(unpadded_sites);
-      BLAS_BP[p].resize(unpadded_sites);
-    }
-    BLAS_CP.resize(unpadded_sites);
-
-    /////////////////////////////////////////////////
-    // Pointers to data
-    /////////////////////////////////////////////////
-
-    // Site identity mapping for A, C
-    for(int p=0;p<geom.npoint;p++){
-      for(int ss=0;ss<unpadded_sites;ss++){
-	ComplexD *ptr = (ComplexD *)&BLAS_A[p][ss];
-	//ComplexD *ptr = (ComplexD *)&BLAS_A[p][0]; std::cout << " A ptr "<<std::hex<<ptr<<std::dec<<" "<<ss<<"/"<<BLAS_A[p].size()<<std::endl;
-	deviceSet(BLAS_AP[p][ss],ptr);
-      }
-    }
-    for(int ss=0;ss<unpadded_sites;ss++){
-      ComplexD *ptr = (ComplexD *)&BLAS_C[ss*nrhs];
-      //ComplexD *ptr = (ComplexD *)&BLAS_C[0];  std::cout << " C ptr "<<std::hex<<ptr<<std::dec<<" "<<ss<<"/"<<BLAS_C.size()<<std::endl;
-      deviceSet(BLAS_CP[ss],ptr);
-    }
-
-    /////////////////////////////////////////////////
-    // Neighbour table is more complicated
-    /////////////////////////////////////////////////
-    int32_t j=0; // Interior point counter (unpadded)
-    for(int32_t s=0;s<padded_sites;s++){ // 4 volume, padded
-      int ghost_zone=0;
-      for(int32_t point = 0 ; point < geom.npoint; point++){
-	int i=s*orhs*geom.npoint+point;
-	if( Stencil._entries[i]._wrap ) { // stencil is indexed by the oSite of the CoarseGridMulti, hence orhs factor
-	  ghost_zone=1; // If general stencil wrapped in any direction, wrap=1
-	}
-      }
-      //      GeneralStencilEntryReordered tmp;
-      if( ghost_zone==0) {
-	for(int32_t point = 0 ; point < geom.npoint; point++){
-	  int i=s*orhs*geom.npoint+point;
- 	  int32_t nbr = Stencil._entries[i]._offset*CComplex::Nsimd(); // oSite -> lSite
-	  //	  std::cout << " B ptr "<< nbr<<"/"<<BLAS_B.size()<<std::endl;
-	  assert(nbr<BLAS_B.size());
-	  ComplexD * ptr = (ComplexD *)&BLAS_B[nbr];
-	  //	  ComplexD * ptr = (ComplexD *)&BLAS_B[0];
-	  //	  std::cout << " B ptr unpadded "<<std::hex<<ptr<<std::dec<<" "<<s<<"/"<<padded_sites<<std::endl;
-	  //	  std::cout << " B ptr   padded "<<std::hex<<ptr<<std::dec<<" "<<j<<"/"<<unpadded_sites<<std::endl;
-	  deviceSet(BLAS_BP[point][j],ptr); // neighbour indexing in ghost zone volume
-	  //	  auto tmp = deviceGet(*BLAS_BP[point][j]);  // debug trigger SEGV if bad ptr
-	}
-	j++;
-      }
-    }
-    assert(j==unpadded_sites);
-    CopyMatrix();
-  }
-  template<class vobj> void GridtoBLAS(const Lattice<vobj> &from,deviceVector<typename vobj::scalar_object> &to)
-  {
-#if 0
-    std::vector<typename vobj::scalar_object> tmp;
-    unvectorizeToLexOrdArray(tmp,from);
-    assert(tmp.size()==from.Grid()->lSites());
-    assert(tmp.size()==to.size());
-    to.resize(tmp.size());
-    acceleratorCopyToDevice(&tmp[0],&to[0],sizeof(typename vobj::scalar_object)*tmp.size());
-#else
-  typedef typename vobj::scalar_object sobj;
-  typedef typename vobj::scalar_type scalar_type;
-  typedef typename vobj::vector_type vector_type;
-
-  GridBase *Fg = from.Grid();
-  assert(!Fg->_isCheckerBoarded);
-  int nd = Fg->_ndimension;
-
-  to.resize(Fg->lSites());
-
-  Coordinate LocalLatt = Fg->LocalDimensions();
-  size_t nsite = 1;
-  for(int i=0;i<nd;i++) nsite *= LocalLatt[i];
-
-  ////////////////////////////////////////////////////////////////////////////////////////////////
-  // do the index calc on the GPU
-  ////////////////////////////////////////////////////////////////////////////////////////////////
-  Coordinate f_ostride = Fg->_ostride;
-  Coordinate f_istride = Fg->_istride;
-  Coordinate f_rdimensions = Fg->_rdimensions;
-
-  autoView(from_v,from,AcceleratorRead);
-  auto to_v = &to[0];
-
-  const int words=sizeof(vobj)/sizeof(vector_type);
-  accelerator_for(idx,nsite,1,{
-      
-      Coordinate from_coor, base;
-      Lexicographic::CoorFromIndex(base,idx,LocalLatt);
-      for(int i=0;i<nd;i++){
-	from_coor[i] = base[i];
-      }
-      int from_oidx = 0; for(int d=0;d<nd;d++) from_oidx+=f_ostride[d]*(from_coor[d]%f_rdimensions[d]);
-      int from_lane = 0; for(int d=0;d<nd;d++) from_lane+=f_istride[d]*(from_coor[d]/f_rdimensions[d]);
-
-      const vector_type* from = (const vector_type *)&from_v[from_oidx];
-      scalar_type* to = (scalar_type *)&to_v[idx];
-      
-      scalar_type stmp;
-      for(int w=0;w<words;w++){
-	stmp = getlane(from[w], from_lane);
-	to[w] = stmp;
-      }
-    });
-#endif
-  }    
-  template<class vobj> void BLAStoGrid(Lattice<vobj> &grid,deviceVector<typename vobj::scalar_object> &in)
-  {
-#if 0
-    std::vector<typename vobj::scalar_object> tmp;
-    tmp.resize(in.size());
-    //    std::cout << "BLAStoGrid volume " <<tmp.size()<<" "<< grid.Grid()->lSites()<<std::endl;
-    assert(in.size()==grid.Grid()->lSites());
-    acceleratorCopyFromDevice(&in[0],&tmp[0],sizeof(typename vobj::scalar_object)*in.size());
-    vectorizeFromLexOrdArray(tmp,grid);
-#else
-  typedef typename vobj::scalar_object sobj;
-  typedef typename vobj::scalar_type scalar_type;
-  typedef typename vobj::vector_type vector_type;
-
-  GridBase *Tg = grid.Grid();
-  assert(!Tg->_isCheckerBoarded);
-  int nd = Tg->_ndimension;
-  
-  assert(in.size()==Tg->lSites());
-
-  Coordinate LocalLatt = Tg->LocalDimensions();
-  size_t nsite = 1;
-  for(int i=0;i<nd;i++) nsite *= LocalLatt[i];
-
-  ////////////////////////////////////////////////////////////////////////////////////////////////
-  // do the index calc on the GPU
-  ////////////////////////////////////////////////////////////////////////////////////////////////
-  Coordinate t_ostride = Tg->_ostride;
-  Coordinate t_istride = Tg->_istride;
-  Coordinate t_rdimensions = Tg->_rdimensions;
-
-  autoView(to_v,grid,AcceleratorWrite);
-  auto from_v = &in[0];
-
-  const int words=sizeof(vobj)/sizeof(vector_type);
-  accelerator_for(idx,nsite,1,{
-      
-      Coordinate to_coor, base;
-      Lexicographic::CoorFromIndex(base,idx,LocalLatt);
-      for(int i=0;i<nd;i++){
-	to_coor[i] = base[i];
-      }
-      int to_oidx = 0; for(int d=0;d<nd;d++) to_oidx+=t_ostride[d]*(to_coor[d]%t_rdimensions[d]);
-      int to_lane = 0; for(int d=0;d<nd;d++) to_lane+=t_istride[d]*(to_coor[d]/t_rdimensions[d]);
-
-      vector_type* to = (vector_type *)&to_v[to_oidx];
-      scalar_type* from = (scalar_type *)&from_v[idx];
-      
-      scalar_type stmp;
-      for(int w=0;w<words;w++){
-	stmp=from[w];
-	putlane(to[w], stmp, to_lane);
-      }
-    });
-#endif
-  }
-  void CopyMatrix (void)
-  {
-    // Clone "A" to be lexicographic in the physics coords
-    // Use unvectorisetolexordarray
-    // Copy to device
-    for(int p=0;p<geom.npoint;p++){
-      //Unpadded
-      auto Aup = _Op.Cell.Extract(_Op._A[p]);
-      //      Coordinate coor({0,0,0,0,0});
-      //      auto sval = peekSite(Aup,coor);
-      //      std::cout << "CopyMatrix: p "<<p<<" Aup[0] :"<<sval<<std::endl;
-      //      sval = peekSite(_Op._A[p],coor);
-      //      std::cout << "CopyMatrix: p "<<p<<" _Op._Ap[0] :"<<sval<<std::endl;
-      GridtoBLAS(Aup,BLAS_A[p]);
-      //      std::cout << "Copy Matrix p "<<p<<" "<< deviceGet(BLAS_A[p][0])<<std::endl;
-    }
-  }
-  void Mdag(const CoarseVector &in, CoarseVector &out)
-  {
-    this->M(in,out);
-  }
-  void M (const CoarseVector &in, CoarseVector &out)
-  {
-    std::cout << GridLogMessage << "New Mrhs coarse"<<std::endl;
-    conformable(CoarseGrid(),in.Grid());
-    conformable(in.Grid(),out.Grid());
-    out.Checkerboard() = in.Checkerboard();
-
-    RealD t_tot;
-    RealD t_exch;
-    RealD t_GtoB;
-    RealD t_BtoG;
-    RealD t_mult;
-
-    t_tot=-usecond();
-    CoarseVector tin=in;
-    t_exch=-usecond();
-    CoarseVector pin = Cell.ExchangePeriodic(tin); //padded input
-    t_exch+=usecond();
-
-    CoarseVector pout(pin.Grid());
-
-    int npoint = geom.npoint;
-    typedef calcMatrix* Aview;
-    typedef LatticeView<Cvec> Vview;
-      
-    const int Nsimd = CComplex::Nsimd();
-
-    RealD flops,bytes;
-    int64_t osites=in.Grid()->oSites(); // unpadded
-    int64_t unpadded_vol = _CoarseGrid->lSites();
-    
-    flops = 1.0* npoint * nbasis * nbasis * 8.0 * osites * CComplex::Nsimd();
-    bytes = 1.0*osites*sizeof(siteMatrix)*npoint/pin.Grid()->GlobalDimensions()[0]
-          + 2.0*osites*sizeof(siteVector)*npoint;
-    
-    int64_t nrhs  =pin.Grid()->GlobalDimensions()[0];
-    assert(nrhs>=1);
-
-    std::cout << GridLogMessage << "New Mrhs GridtoBLAS in sizes "<<in.Grid()->lSites()<<" "<<pin.Grid()->lSites()<<std::endl;
-    t_GtoB=-usecond();
-    GridtoBLAS(pin,BLAS_B);
-    //    out = Zero();
-    //    GridtoBLAS(out,BLAS_C);
-    t_GtoB+=usecond();
-
-    GridBLAS BLAS;
-
-    t_mult=-usecond();
-    for(int p=0;p<geom.npoint;p++){
-      RealD c = 1.0;
-      if (p==0) c = 0.0;
-      ComplexD beta(c);
-      //      std::cout << GridLogMessage << "New Mrhs coarse gemmBatched "<<p<<std::endl;
-      BLAS.gemmBatched(nbasis,nrhs,nbasis,
-		       ComplexD(1.0),
-		       BLAS_AP[p], 
-		       BLAS_BP[p], 
-		       ComplexD(c), 
-		       BLAS_CP);
-    }
-    BLAS.synchronise();
-    t_mult+=usecond();
-    //    std::cout << GridLogMessage << "New Mrhs coarse BLAStoGrid "<<std::endl;
-    t_BtoG=-usecond();
-    BLAStoGrid(out,BLAS_C);
-    t_BtoG+=usecond();
-    t_tot+=usecond();
-    //    auto check =deviceGet(BLAS_C[0]);
-    //      std::cout << "C[0] "<<check<<std::endl;
-    //    Coordinate coor({0,0,0,0,0,0});
-    //    peekLocalSite(check,out,coor);
-    //    std::cout << "C[0] "<< check<<std::endl;
-    std::cout << GridLogMessage << "New Mrhs coarse DONE "<<std::endl;
-    std::cout << GridLogMessage<<"Coarse Mult exch "<<t_exch<<" us"<<std::endl;
-    std::cout << GridLogMessage<<"Coarse Mult mult "<<t_mult<<" us"<<std::endl;
-    std::cout << GridLogMessage<<"Coarse Mult GtoB  "<<t_GtoB<<" us"<<std::endl;
-    std::cout << GridLogMessage<<"Coarse Mult BtoG  "<<t_BtoG<<" us"<<std::endl;
-    std::cout << GridLogMessage<<"Coarse Mult tot  "<<t_tot<<" us"<<std::endl;
-    std::cout << GridLogMessage<<std::endl;
-    std::cout << GridLogMessage<<"Coarse Kernel flops "<< flops<<std::endl;
-    std::cout << GridLogMessage<<"Coarse Kernel flop/s "<< flops/t_mult<<" mflop/s"<<std::endl;
-    std::cout << GridLogMessage<<"Coarse Kernel bytes/s "<< bytes/t_mult/1000<<" GB/s"<<std::endl;
-    std::cout << GridLogMessage<<"Coarse overall flops/s "<< flops/t_tot<<" mflop/s"<<std::endl;
-    std::cout << GridLogMessage<<"Coarse total bytes   "<< bytes/1e6<<" MB"<<std::endl;
-  };
-  virtual  void Mdiag    (const Field &in, Field &out){ assert(0);};
-  virtual  void Mdir     (const Field &in, Field &out,int dir, int disp){assert(0);};
-  virtual  void MdirAll  (const Field &in, std::vector<Field> &out){assert(0);};
-
-};
-  
-NAMESPACE_END(Grid);

Grid/algorithms/multigrid/Geometry.h

@@ -1,238 +0,0 @@
-/*************************************************************************************
-
-    Grid physics library, www.github.com/paboyle/Grid 
-
-    Source file: ./lib/algorithms/GeneralCoarsenedMatrix.h
-
-    Copyright (C) 2015
-
-Author: Peter Boyle <pboyle@bnl.gov>
-
-    This program is free software; you can redistribute it and/or modify
-    it under the terms of the GNU General Public License as published by
-    the Free Software Foundation; either version 2 of the License, or
-    (at your option) any later version.
-
-    This program is distributed in the hope that it will be useful,
-    but WITHOUT ANY WARRANTY; without even the implied warranty of
-    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-    GNU General Public License for more details.
-
-    You should have received a copy of the GNU General Public License along
-    with this program; if not, write to the Free Software Foundation, Inc.,
-    51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
-
-    See the full license in the file "LICENSE" in the top level distribution directory
-*************************************************************************************/
-/*  END LEGAL */
-#pragma once
-
-NAMESPACE_BEGIN(Grid);
-
-
-/////////////////////////////////////////////////////////////////
-// Geometry class in cartesian case
-/////////////////////////////////////////////////////////////////
-
-class Geometry {
-public:
-  int npoint;
-  int base;
-  std::vector<int> directions   ;
-  std::vector<int> displacements;
-  std::vector<int> points_dagger;
-
-  Geometry(int _d)  {
-    
-    base = (_d==5) ? 1:0;
-
-    // make coarse grid stencil for 4d , not 5d
-    if ( _d==5 ) _d=4;
-
-    npoint = 2*_d+1;
-    directions.resize(npoint);
-    displacements.resize(npoint);
-    points_dagger.resize(npoint);
-    for(int d=0;d<_d;d++){
-      directions[d   ] = d+base;
-      directions[d+_d] = d+base;
-      displacements[d  ] = +1;
-      displacements[d+_d]= -1;
-      points_dagger[d   ] = d+_d;
-      points_dagger[d+_d] = d;
-    }
-    directions   [2*_d]=0;
-    displacements[2*_d]=0;
-    points_dagger[2*_d]=2*_d;
-  }
-
-  int point(int dir, int disp) {
-    assert(disp == -1 || disp == 0 || disp == 1);
-    assert(base+0 <= dir && dir < base+4);
-
-    // directions faster index = new indexing
-    // 4d (base = 0):
-    // point 0  1  2  3  4  5  6  7  8
-    // dir   0  1  2  3  0  1  2  3  0
-    // disp +1 +1 +1 +1 -1 -1 -1 -1  0
-    // 5d (base = 1):
-    // point 0  1  2  3  4  5  6  7  8
-    // dir   1  2  3  4  1  2  3  4  0
-    // disp +1 +1 +1 +1 -1 -1 -1 -1  0
-
-    // displacements faster index = old indexing
-    // 4d (base = 0):
-    // point 0  1  2  3  4  5  6  7  8
-    // dir   0  0  1  1  2  2  3  3  0
-    // disp +1 -1 +1 -1 +1 -1 +1 -1  0
-    // 5d (base = 1):
-    // point 0  1  2  3  4  5  6  7  8
-    // dir   1  1  2  2  3  3  4  4  0
-    // disp +1 -1 +1 -1 +1 -1 +1 -1  0
-
-    if(dir == 0 and disp == 0)
-      return 8;
-    else // New indexing
-      return (1 - disp) / 2 * 4 + dir - base;
-    // else // Old indexing
-    //   return (4 * (dir - base) + 1 - disp) / 2;
-  }
-};
-
-/////////////////////////////////////////////////////////////////
-// Less local equivalent of Geometry class in cartesian case
-/////////////////////////////////////////////////////////////////
-class NonLocalStencilGeometry {
-public:
-  //  int depth;
-  int skip;
-  int hops;
-  int npoint;
-  std::vector<Coordinate> shifts;
-  Coordinate stencil_size;
-  Coordinate stencil_lo;
-  Coordinate stencil_hi;
-  GridCartesian *grid;
-  GridCartesian *Grid() {return grid;};
-  int Depth(void){return 1;};   // Ghost zone depth
-  int Hops(void){return hops;}; // # of hops=> level of corner fill in in stencil
-  int DimSkip(void){return skip;};
-
-  virtual ~NonLocalStencilGeometry() {};
-
-  int  Reverse(int point)
-  {
-    int Nd = Grid()->Nd();
-    Coordinate shft = shifts[point];
-    Coordinate rev(Nd);
-    for(int mu=0;mu<Nd;mu++) rev[mu]= -shft[mu];
-    for(int p=0;p<npoint;p++){
-      if(rev==shifts[p]){
-	return p;
-      }
-    }
-    assert(0);
-    return -1;
-  }
-  void BuildShifts(void)
-  {
-    this->shifts.resize(0);
-    int Nd = this->grid->Nd();
-
-    int dd = this->DimSkip();
-    for(int s0=this->stencil_lo[dd+0];s0<=this->stencil_hi[dd+0];s0++){
-    for(int s1=this->stencil_lo[dd+1];s1<=this->stencil_hi[dd+1];s1++){
-    for(int s2=this->stencil_lo[dd+2];s2<=this->stencil_hi[dd+2];s2++){
-    for(int s3=this->stencil_lo[dd+3];s3<=this->stencil_hi[dd+3];s3++){
-      Coordinate sft(Nd,0);
-      sft[dd+0] = s0;
-      sft[dd+1] = s1;
-      sft[dd+2] = s2;
-      sft[dd+3] = s3;
-      int nhops = abs(s0)+abs(s1)+abs(s2)+abs(s3);
-      if(nhops<=this->hops) this->shifts.push_back(sft);
-    }}}}
-    this->npoint = this->shifts.size();
-    std::cout << GridLogMessage << "NonLocalStencilGeometry has "<< this->npoint << " terms in stencil "<<std::endl;
-  }
-  
-  NonLocalStencilGeometry(GridCartesian *_coarse_grid,int _hops,int _skip) : grid(_coarse_grid), hops(_hops), skip(_skip)
-  {
-    Coordinate latt = grid->GlobalDimensions();
-    stencil_size.resize(grid->Nd());
-    stencil_lo.resize(grid->Nd());
-    stencil_hi.resize(grid->Nd());
-    for(int d=0;d<grid->Nd();d++){
-     if ( latt[d] == 1 ) {
-      stencil_lo[d] = 0;
-      stencil_hi[d] = 0;
-      stencil_size[d]= 1;
-     } else if ( latt[d] == 2 ) {
-      stencil_lo[d] = -1;
-      stencil_hi[d] = 0;
-      stencil_size[d]= 2;
-     } else if ( latt[d] > 2 ) {
-       stencil_lo[d] = -1;
-       stencil_hi[d] =  1;
-       stencil_size[d]= 3;
-     }
-    }
-    this->BuildShifts();
-  };
-
-};
-
-// Need to worry about red-black now
-class NonLocalStencilGeometry4D : public NonLocalStencilGeometry {
-public:
-  virtual int DerivedDimSkip(void) { return 0;};
-  NonLocalStencilGeometry4D(GridCartesian *Coarse,int _hops) : NonLocalStencilGeometry(Coarse,_hops,0) { };
-  virtual ~NonLocalStencilGeometry4D() {};
-};
-class NonLocalStencilGeometry5D : public NonLocalStencilGeometry {
-public:
-  virtual int DerivedDimSkip(void) { return 1; }; 
-  NonLocalStencilGeometry5D(GridCartesian *Coarse,int _hops) : NonLocalStencilGeometry(Coarse,_hops,1)  { };
-  virtual ~NonLocalStencilGeometry5D() {};
-};
-/*
- * Bunch of different options classes
- */
-class NextToNextToNextToNearestStencilGeometry4D : public NonLocalStencilGeometry4D {
-public:
-  NextToNextToNextToNearestStencilGeometry4D(GridCartesian *Coarse) :  NonLocalStencilGeometry4D(Coarse,4)
-  {
-  };
-};
-class NextToNextToNextToNearestStencilGeometry5D : public  NonLocalStencilGeometry5D {
-public:
-  NextToNextToNextToNearestStencilGeometry5D(GridCartesian *Coarse) :  NonLocalStencilGeometry5D(Coarse,4)
-  {
-  };
-};
-class NextToNearestStencilGeometry4D : public  NonLocalStencilGeometry4D {
-public:
-  NextToNearestStencilGeometry4D(GridCartesian *Coarse) :  NonLocalStencilGeometry4D(Coarse,2)
-  {
-  };
-};
-class NextToNearestStencilGeometry5D : public  NonLocalStencilGeometry5D {
-public:
-  NextToNearestStencilGeometry5D(GridCartesian *Coarse) :  NonLocalStencilGeometry5D(Coarse,2)
-  {
-  };
-};
-class NearestStencilGeometry4D : public  NonLocalStencilGeometry4D {
-public:
-  NearestStencilGeometry4D(GridCartesian *Coarse) :  NonLocalStencilGeometry4D(Coarse,1)
-  {
-  };
-};
-class NearestStencilGeometry5D : public  NonLocalStencilGeometry5D {
-public:
-  NearestStencilGeometry5D(GridCartesian *Coarse) :  NonLocalStencilGeometry5D(Coarse,1)
-  {
-  };
-};
-
-NAMESPACE_END(Grid);

Grid/allocator/AlignedAllocator.h

@@ -179,53 +179,6 @@ template<class T> using commVector    = std::vector<T,devAllocator<T> >;
 template<class T> using deviceVector  = std::vector<T,devAllocator<T> >;
 template<class T> using cshiftVector = std::vector<T,cshiftAllocator<T> >;
 
-/*
-template<class T> class vecView
-{
- protected:
-  T * data;
-  uint64_t size;
-  ViewMode mode;
-  void * cpu_ptr;
- public:
-  accelerator_inline T & operator[](size_t i) const { return this->data[i]; };
-  vecView(std::vector<T> &refer_to_me,ViewMode _mode)
-  {
-    cpu_ptr = &refer_to_me[0];
-    size = refer_to_me.size();
-    mode = _mode;
-    data =(T *) MemoryManager::ViewOpen(cpu_ptr,
-					size*sizeof(T),
-					mode,
-					AdviseDefault);
-  }
-  void ViewClose(void)
-  { // Inform the manager
-    MemoryManager::ViewClose(this->cpu_ptr,this->mode);    
-  }
-};
-
-template<class T> vecView<T> VectorView(std::vector<T> &vec,ViewMode _mode)
-{
-  vecView<T> ret(vec,_mode); // does the open
-  return ret;                // must be closed
-}
-
-// Little autoscope assister
-template<class View> 
-class VectorViewCloser
-{
-  View v;  // Take a copy of view and call view close when I go out of scope automatically
- public:
-  VectorViewCloser(View &_v) : v(_v) {};
-  ~VectorViewCloser() { auto ptr = v.cpu_ptr; v.ViewClose();  MemoryManager::NotifyDeletion(ptr);}
-};
-
-#define autoVecView(v_v,v,mode)					\
-  auto v_v = VectorView(v,mode);				\
-  ViewCloser<decltype(v_v)> _autoView##v_v(v_v);
-*/
-
 NAMESPACE_END(Grid);
 
 

Grid/allocator/MemoryManager.h

@@ -209,9 +209,9 @@ private:
   static void     CpuViewClose(uint64_t Ptr);
   static uint64_t CpuViewOpen(uint64_t  CpuPtr,size_t bytes,ViewMode mode,ViewAdvise hint);
 #endif
+  static void NotifyDeletion(void * CpuPtr);
 
  public:
-  static void NotifyDeletion(void * CpuPtr);
   static void Print(void);
   static void PrintAll(void);
   static void PrintState( void* CpuPtr);

Grid/allocator/MemoryManagerCache.cc

@@ -8,7 +8,7 @@ NAMESPACE_BEGIN(Grid);
 static char print_buffer [ MAXLINE ];
 
 #define mprintf(...) snprintf (print_buffer,MAXLINE, __VA_ARGS__ ); std::cout << GridLogMemory << print_buffer;
-#define dprintf(...) snprintf (print_buffer,MAXLINE, __VA_ARGS__ ); std::cout << GridLogDebug << print_buffer;
+#define dprintf(...) snprintf (print_buffer,MAXLINE, __VA_ARGS__ ); std::cout << GridLogMemory << print_buffer;
 //#define dprintf(...) 
 
 
@@ -111,7 +111,7 @@ void MemoryManager::AccDiscard(AcceleratorViewEntry &AccCache)
   ///////////////////////////////////////////////////////////
   assert(AccCache.state!=Empty);
   
-  dprintf("MemoryManager: Discard(%lx) %lx\n",(uint64_t)AccCache.CpuPtr,(uint64_t)AccCache.AccPtr); 
+  mprintf("MemoryManager: Discard(%lx) %lx\n",(uint64_t)AccCache.CpuPtr,(uint64_t)AccCache.AccPtr); 
   assert(AccCache.accLock==0);
   assert(AccCache.cpuLock==0);
   assert(AccCache.CpuPtr!=(uint64_t)NULL);
@@ -141,7 +141,7 @@ void MemoryManager::Evict(AcceleratorViewEntry &AccCache)
   ///////////////////////////////////////////////////////////////////////////
   assert(AccCache.state!=Empty);
   
-  mprintf("MemoryManager: Evict CpuPtr %lx AccPtr %lx cpuLock %ld accLock %ld\n",
+  mprintf("MemoryManager: Evict cpu %lx acc %lx cpuLock %ld accLock %ld\n",
 	  (uint64_t)AccCache.CpuPtr,(uint64_t)AccCache.AccPtr,
 	  (uint64_t)AccCache.cpuLock,(uint64_t)AccCache.accLock); 
   if (AccCache.accLock!=0) return;
@@ -155,7 +155,7 @@ void MemoryManager::Evict(AcceleratorViewEntry &AccCache)
     AccCache.AccPtr=(uint64_t)NULL;
     AccCache.state=CpuDirty; // CPU primary now
     DeviceBytes   -=AccCache.bytes;
-    dprintf("MemoryManager: Free(AccPtr %lx) footprint now %ld \n",(uint64_t)AccCache.AccPtr,DeviceBytes);  
+    dprintf("MemoryManager: Free(%lx) footprint now %ld \n",(uint64_t)AccCache.AccPtr,DeviceBytes);  
   }
   //  uint64_t CpuPtr = AccCache.CpuPtr;
   DeviceEvictions++;
@@ -169,7 +169,7 @@ void MemoryManager::Flush(AcceleratorViewEntry &AccCache)
   assert(AccCache.AccPtr!=(uint64_t)NULL);
   assert(AccCache.CpuPtr!=(uint64_t)NULL);
   acceleratorCopyFromDevice((void *)AccCache.AccPtr,(void *)AccCache.CpuPtr,AccCache.bytes);
-  mprintf("MemoryManager: acceleratorCopyFromDevice Flush AccPtr %lx -> CpuPtr %lx\n",(uint64_t)AccCache.AccPtr,(uint64_t)AccCache.CpuPtr); fflush(stdout);
+  mprintf("MemoryManager: Flush  %lx -> %lx\n",(uint64_t)AccCache.AccPtr,(uint64_t)AccCache.CpuPtr); fflush(stdout);
   DeviceToHostBytes+=AccCache.bytes;
   DeviceToHostXfer++;
   AccCache.state=Consistent;
@@ -184,7 +184,7 @@ void MemoryManager::Clone(AcceleratorViewEntry &AccCache)
     AccCache.AccPtr=(uint64_t)AcceleratorAllocate(AccCache.bytes);
     DeviceBytes+=AccCache.bytes;
   }
-  mprintf("MemoryManager: acceleratorCopyToDevice   Clone AccPtr %lx <- CpuPtr %lx\n",(uint64_t)AccCache.AccPtr,(uint64_t)AccCache.CpuPtr); fflush(stdout);
+  mprintf("MemoryManager: Clone %lx <- %lx\n",(uint64_t)AccCache.AccPtr,(uint64_t)AccCache.CpuPtr); fflush(stdout);
   acceleratorCopyToDevice((void *)AccCache.CpuPtr,(void *)AccCache.AccPtr,AccCache.bytes);
   HostToDeviceBytes+=AccCache.bytes;
   HostToDeviceXfer++;

Grid/cartesian/Cartesian_base.h

@@ -70,8 +70,8 @@ public:
   Coordinate _istride;    // Inner stride i.e. within simd lane
   int _osites;                  // _isites*_osites = product(dimensions).
   int _isites;
-  int64_t _fsites;                  // _isites*_osites = product(dimensions).
-  int64_t _gsites;
+  int _fsites;                  // _isites*_osites = product(dimensions).
+  int _gsites;
   Coordinate _slice_block;// subslice information
   Coordinate _slice_stride;
   Coordinate _slice_nblock;
@@ -183,7 +183,7 @@ public:
   inline int Nsimd(void)  const { return _isites; };// Synonymous with iSites
   inline int oSites(void) const { return _osites; };
   inline int lSites(void) const { return _isites*_osites; }; 
-  inline int64_t gSites(void) const { return (int64_t)_isites*(int64_t)_osites*(int64_t)_Nprocessors; }; 
+  inline int gSites(void) const { return _isites*_osites*_Nprocessors; }; 
   inline int Nd    (void) const { return _ndimension;};
 
   inline const Coordinate LocalStarts(void)             { return _lstart;    };
@@ -214,7 +214,7 @@ public:
   ////////////////////////////////////////////////////////////////
   // Global addressing
   ////////////////////////////////////////////////////////////////
-  void GlobalIndexToGlobalCoor(int64_t gidx,Coordinate &gcoor){
+  void GlobalIndexToGlobalCoor(int gidx,Coordinate &gcoor){
     assert(gidx< gSites());
     Lexicographic::CoorFromIndex(gcoor,gidx,_gdimensions);
   }
@@ -222,7 +222,7 @@ public:
     assert(lidx<lSites());
     Lexicographic::CoorFromIndex(lcoor,lidx,_ldimensions);
   }
-  void GlobalCoorToGlobalIndex(const Coordinate & gcoor,int64_t & gidx){
+  void GlobalCoorToGlobalIndex(const Coordinate & gcoor,int & gidx){
     gidx=0;
     int mult=1;
     for(int mu=0;mu<_ndimension;mu++) {

Grid/communicator/Communicator_base.h

@@ -138,14 +138,6 @@ public:
   ////////////////////////////////////////////////////////////
   // Face exchange, buffer swap in translational invariant way
   ////////////////////////////////////////////////////////////
-  void CommsComplete(std::vector<CommsRequest_t> &list);
-  void SendToRecvFromBegin(std::vector<CommsRequest_t> &list,
-			   void *xmit,
-			   int dest,
-			   void *recv,
-			   int from,
-			   int bytes,int dir);
-  
   void SendToRecvFrom(void *xmit,
 		      int xmit_to_rank,
 		      void *recv,

Grid/communicator/Communicator_mpi3.cc

@@ -306,44 +306,6 @@ void CartesianCommunicator::GlobalSumVector(double *d,int N)
   int ierr = MPI_Allreduce(MPI_IN_PLACE,d,N,MPI_DOUBLE,MPI_SUM,communicator);
   assert(ierr==0);
 }
-
-void CartesianCommunicator::SendToRecvFromBegin(std::vector<CommsRequest_t> &list,
-						void *xmit,
-						int dest,
-						void *recv,
-						int from,
-						int bytes,int dir)
-{
-  MPI_Request xrq;
-  MPI_Request rrq;
-
-  assert(dest != _processor);
-  assert(from != _processor);
-
-  int tag;
-
-  tag= dir+from*32;
-  int ierr=MPI_Irecv(recv, bytes, MPI_CHAR,from,tag,communicator,&rrq);
-  assert(ierr==0);
-  list.push_back(rrq);
-  
-  tag= dir+_processor*32;
-  ierr =MPI_Isend(xmit, bytes, MPI_CHAR,dest,tag,communicator,&xrq);
-  assert(ierr==0);
-  list.push_back(xrq);
-}
-void CartesianCommunicator::CommsComplete(std::vector<CommsRequest_t> &list)
-{
-  int nreq=list.size();
-
-  if (nreq==0) return;
-
-  std::vector<MPI_Status> status(nreq);
-  int ierr = MPI_Waitall(nreq,&list[0],&status[0]);
-  assert(ierr==0);
-  list.resize(0);
-}
-
 // Basic Halo comms primitive
 void CartesianCommunicator::SendToRecvFrom(void *xmit,
 					   int dest,

Grid/communicator/Communicator_none.cc

@@ -91,17 +91,6 @@ void CartesianCommunicator::SendToRecvFrom(void *xmit,
 {
   assert(0);
 }
-void CartesianCommunicator::CommsComplete(std::vector<CommsRequest_t> &list){ assert(0);}
-void CartesianCommunicator::SendToRecvFromBegin(std::vector<CommsRequest_t> &list,
-						void *xmit,
-						int dest,
-						void *recv,
-						int from,
-						int bytes,int dir)
-{
-  assert(0);
-}
-
 void CartesianCommunicator::AllToAll(int dim,void  *in,void *out,uint64_t words,uint64_t bytes)
 {
   bcopy(in,out,bytes*words);

Grid/cshift/Cshift_common.h

@@ -29,8 +29,27 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
 
 NAMESPACE_BEGIN(Grid);
 
-extern Vector<std::pair<int,int> > Cshift_table; 
+extern std::vector<std::pair<int,int> > Cshift_table; 
+extern commVector<std::pair<int,int> > Cshift_table_device; 
 
+inline std::pair<int,int> *MapCshiftTable(void)
+{
+  // GPU version
+#ifdef ACCELERATOR_CSHIFT    
+  uint64_t sz=Cshift_table.size();
+  if (Cshift_table_device.size()!=sz )    {
+    Cshift_table_device.resize(sz);
+  }
+  acceleratorCopyToDevice((void *)&Cshift_table[0],
+			  (void *)&Cshift_table_device[0],
+			  sizeof(Cshift_table[0])*sz);
+
+  return &Cshift_table_device[0];
+#else 
+  return &Cshift_table[0];
+#endif
+  // CPU version use identify map
+}
 ///////////////////////////////////////////////////////////////////
 // Gather for when there is no need to SIMD split 
 ///////////////////////////////////////////////////////////////////
@@ -74,7 +93,7 @@ Gather_plane_simple (const Lattice<vobj> &rhs,cshiftVector<vobj> &buffer,int dim
   }
   {
     auto buffer_p = & buffer[0];
-    auto table = &Cshift_table[0];
+    auto table = MapCshiftTable();
 #ifdef ACCELERATOR_CSHIFT
     autoView(rhs_v , rhs, AcceleratorRead);
     accelerator_for(i,ent,vobj::Nsimd(),{
@@ -225,7 +244,7 @@ template<class vobj> void Scatter_plane_simple (Lattice<vobj> &rhs,cshiftVector<
   
   {
     auto buffer_p = & buffer[0];
-    auto table = &Cshift_table[0];
+    auto table = MapCshiftTable();
 #ifdef ACCELERATOR_CSHIFT    
     autoView( rhs_v, rhs, AcceleratorWrite);
     accelerator_for(i,ent,vobj::Nsimd(),{
@@ -297,30 +316,6 @@ template<class vobj> void Scatter_plane_merge(Lattice<vobj> &rhs,ExtractPointerA
   }
 }
 
-#if (defined(GRID_CUDA) || defined(GRID_HIP)) && defined(ACCELERATOR_CSHIFT)
-
-template <typename T>
-T iDivUp(T a, T b) // Round a / b to nearest higher integer value
-{ return (a % b != 0) ? (a / b + 1) : (a / b); }
-
-template <typename T>
-__global__ void populate_Cshift_table(T* vector, T lo, T ro, T e1, T e2, T stride)
-{
-    int idx = blockIdx.x*blockDim.x + threadIdx.x;
-    if (idx >= e1*e2) return;
-
-    int n, b, o;
-
-    n = idx / e2;
-    b = idx % e2;
-    o = n*stride + b;
-
-    vector[2*idx + 0] = lo + o;
-    vector[2*idx + 1] = ro + o;
-}
-
-#endif
-
 //////////////////////////////////////////////////////
 // local to node block strided copies
 //////////////////////////////////////////////////////
@@ -345,20 +340,12 @@ template<class vobj> void Copy_plane(Lattice<vobj>& lhs,const Lattice<vobj> &rhs
   int ent=0;
 
   if(cbmask == 0x3 ){
-#if (defined(GRID_CUDA) || defined(GRID_HIP)) && defined(ACCELERATOR_CSHIFT)
-    ent = e1*e2;
-    dim3 blockSize(acceleratorThreads());
-    dim3 gridSize(iDivUp((unsigned int)ent, blockSize.x));
-    populate_Cshift_table<<<gridSize, blockSize>>>(&Cshift_table[0].first, lo, ro, e1, e2, stride);
-    accelerator_barrier();
-#else
     for(int n=0;n<e1;n++){
       for(int b=0;b<e2;b++){
         int o =n*stride+b;
 	Cshift_table[ent++] = std::pair<int,int>(lo+o,ro+o);
       }
     }
-#endif
   } else { 
     for(int n=0;n<e1;n++){
       for(int b=0;b<e2;b++){
@@ -372,7 +359,7 @@ template<class vobj> void Copy_plane(Lattice<vobj>& lhs,const Lattice<vobj> &rhs
   }
 
   {
-    auto table = &Cshift_table[0];
+    auto table = MapCshiftTable();
 #ifdef ACCELERATOR_CSHIFT    
     autoView(rhs_v , rhs, AcceleratorRead);
     autoView(lhs_v , lhs, AcceleratorWrite);
@@ -409,19 +396,11 @@ template<class vobj> void Copy_plane_permute(Lattice<vobj>& lhs,const Lattice<vo
   int ent=0;
 
   if ( cbmask == 0x3 ) {
-#if (defined(GRID_CUDA) || defined(GRID_HIP)) && defined(ACCELERATOR_CSHIFT)
-    ent = e1*e2;
-    dim3 blockSize(acceleratorThreads());
-    dim3 gridSize(iDivUp((unsigned int)ent, blockSize.x));
-    populate_Cshift_table<<<gridSize, blockSize>>>(&Cshift_table[0].first, lo, ro, e1, e2, stride);
-    accelerator_barrier();
-#else
     for(int n=0;n<e1;n++){
     for(int b=0;b<e2;b++){
       int o  =n*stride;
       Cshift_table[ent++] = std::pair<int,int>(lo+o+b,ro+o+b);
     }}
-#endif
   } else {
     for(int n=0;n<e1;n++){
     for(int b=0;b<e2;b++){
@@ -432,7 +411,7 @@ template<class vobj> void Copy_plane_permute(Lattice<vobj>& lhs,const Lattice<vo
   }
 
   {
-    auto table = &Cshift_table[0];
+    auto table = MapCshiftTable();
 #ifdef ACCELERATOR_CSHIFT    
     autoView( rhs_v, rhs, AcceleratorRead);
     autoView( lhs_v, lhs, AcceleratorWrite);

Grid/cshift/Cshift_mpi.h

@@ -52,7 +52,8 @@ template<class vobj> Lattice<vobj> Cshift(const Lattice<vobj> &rhs,int dimension
   int comm_dim        = rhs.Grid()->_processors[dimension] >1 ;
   int splice_dim      = rhs.Grid()->_simd_layout[dimension]>1 && (comm_dim);
 
-
+  RealD t1,t0;
+  t0=usecond();
   if ( !comm_dim ) {
     //std::cout << "CSHIFT: Cshift_local" <<std::endl;
     Cshift_local(ret,rhs,dimension,shift); // Handles checkerboarding
@@ -63,6 +64,8 @@ template<class vobj> Lattice<vobj> Cshift(const Lattice<vobj> &rhs,int dimension
     //std::cout << "CSHIFT: Cshift_comms" <<std::endl;
     Cshift_comms(ret,rhs,dimension,shift);
   }
+  t1=usecond();
+  //  std::cout << GridLogPerformance << "Cshift took "<< (t1-t0)/1e3 << " ms"<<std::endl;
   return ret;
 }
 
@@ -127,16 +130,20 @@ template<class vobj> void Cshift_comms(Lattice<vobj> &ret,const Lattice<vobj> &r
     
   int cb= (cbmask==0x2)? Odd : Even;
   int sshift= rhs.Grid()->CheckerBoardShiftForCB(rhs.Checkerboard(),dimension,shift,cb);
-
+  RealD tcopy=0.0;
+  RealD tgather=0.0;
+  RealD tscatter=0.0;
+  RealD tcomms=0.0;
+  uint64_t xbytes=0;
   for(int x=0;x<rd;x++){       
 
     int sx        =  (x+sshift)%rd;
     int comm_proc = ((x+sshift)/rd)%pd;
     
     if (comm_proc==0) {
-
+      tcopy-=usecond();
       Copy_plane(ret,rhs,dimension,x,sx,cbmask); 
-
+      tcopy+=usecond();
     } else {
 
       int words = buffer_size;
@@ -144,26 +151,39 @@ template<class vobj> void Cshift_comms(Lattice<vobj> &ret,const Lattice<vobj> &r
 
       int bytes = words * sizeof(vobj);
 
+      tgather-=usecond();
       Gather_plane_simple (rhs,send_buf,dimension,sx,cbmask);
+      tgather+=usecond();
 
       //      int rank           = grid->_processor;
       int recv_from_rank;
       int xmit_to_rank;
       grid->ShiftedRanks(dimension,comm_proc,xmit_to_rank,recv_from_rank);
       
-      grid->Barrier();
+      tcomms-=usecond();
+      //      grid->Barrier();
 
       grid->SendToRecvFrom((void *)&send_buf[0],
 			   xmit_to_rank,
 			   (void *)&recv_buf[0],
 			   recv_from_rank,
 			   bytes);
+      xbytes+=bytes;
+      //      grid->Barrier();
+      tcomms+=usecond();
 
-      grid->Barrier();
-
+      tscatter-=usecond();
       Scatter_plane_simple (ret,recv_buf,dimension,x,cbmask);
+      tscatter+=usecond();
     }
   }
+  /*
+  std::cout << GridLogPerformance << " Cshift copy    "<<tcopy/1e3<<" ms"<<std::endl;
+  std::cout << GridLogPerformance << " Cshift gather  "<<tgather/1e3<<" ms"<<std::endl;
+  std::cout << GridLogPerformance << " Cshift scatter "<<tscatter/1e3<<" ms"<<std::endl;
+  std::cout << GridLogPerformance << " Cshift comm    "<<tcomms/1e3<<" ms"<<std::endl;
+  std::cout << GridLogPerformance << " Cshift BW      "<<(2.0*xbytes)/tcomms<<" MB/s "<<2*xbytes<< " Bytes "<<std::endl;
+  */
 }
 
 template<class vobj> void  Cshift_comms_simd(Lattice<vobj> &ret,const Lattice<vobj> &rhs,int dimension,int shift,int cbmask)
@@ -190,6 +210,12 @@ template<class vobj> void  Cshift_comms_simd(Lattice<vobj> &ret,const Lattice<vo
   assert(shift>=0);
   assert(shift<fd);
 
+  RealD tcopy=0.0;
+  RealD tgather=0.0;
+  RealD tscatter=0.0;
+  RealD tcomms=0.0;
+  uint64_t xbytes=0;
+  
   int permute_type=grid->PermuteType(dimension);
 
   ///////////////////////////////////////////////
@@ -227,7 +253,9 @@ template<class vobj> void  Cshift_comms_simd(Lattice<vobj> &ret,const Lattice<vo
       pointers[i] = &send_buf_extract[i][0];
     }
     int sx   = (x+sshift)%rd;
+    tgather-=usecond();
     Gather_plane_extract(rhs,pointers,dimension,sx,cbmask);
+    tgather+=usecond();
 
     for(int i=0;i<Nsimd;i++){
       
@@ -252,7 +280,8 @@ template<class vobj> void  Cshift_comms_simd(Lattice<vobj> &ret,const Lattice<vo
       if(nbr_proc){
 	grid->ShiftedRanks(dimension,nbr_proc,xmit_to_rank,recv_from_rank); 
 
-	grid->Barrier();
+	tcomms-=usecond();
+	//	grid->Barrier();
 
 	send_buf_extract_mpi = &send_buf_extract[nbr_lane][0];
 	recv_buf_extract_mpi = &recv_buf_extract[i][0];
@@ -262,7 +291,9 @@ template<class vobj> void  Cshift_comms_simd(Lattice<vobj> &ret,const Lattice<vo
 			     recv_from_rank,
 			     bytes);
 
-	grid->Barrier();
+	xbytes+=bytes;
+	//	grid->Barrier();
+	tcomms+=usecond();
 
 	rpointers[i] = &recv_buf_extract[i][0];
       } else { 
@@ -270,9 +301,17 @@ template<class vobj> void  Cshift_comms_simd(Lattice<vobj> &ret,const Lattice<vo
       }
 
     }
+    tscatter-=usecond();
     Scatter_plane_merge(ret,rpointers,dimension,x,cbmask);
+    tscatter+=usecond();
   }
-
+  /*
+  std::cout << GridLogPerformance << " Cshift (s) copy    "<<tcopy/1e3<<" ms"<<std::endl;
+  std::cout << GridLogPerformance << " Cshift (s) gather  "<<tgather/1e3<<" ms"<<std::endl;
+  std::cout << GridLogPerformance << " Cshift (s) scatter "<<tscatter/1e3<<" ms"<<std::endl;
+  std::cout << GridLogPerformance << " Cshift (s) comm    "<<tcomms/1e3<<" ms"<<std::endl;
+  std::cout << GridLogPerformance << " Cshift BW      "<<(2.0*xbytes)/tcomms<<" MB/s "<<2*xbytes<< " Bytes "<<std::endl;
+  */
 }
 #else 
 template<class vobj> void Cshift_comms(Lattice<vobj> &ret,const Lattice<vobj> &rhs,int dimension,int shift,int cbmask)
@@ -292,6 +331,11 @@ template<class vobj> void Cshift_comms(Lattice<vobj> &ret,const Lattice<vobj> &r
   assert(comm_dim==1);
   assert(shift>=0);
   assert(shift<fd);
+  RealD tcopy=0.0;
+  RealD tgather=0.0;
+  RealD tscatter=0.0;
+  RealD tcomms=0.0;
+  uint64_t xbytes=0;
   
   int buffer_size = rhs.Grid()->_slice_nblock[dimension]*rhs.Grid()->_slice_block[dimension];
   static cshiftVector<vobj> send_buf_v; send_buf_v.resize(buffer_size);
@@ -315,7 +359,9 @@ template<class vobj> void Cshift_comms(Lattice<vobj> &ret,const Lattice<vobj> &r
     
     if (comm_proc==0) {
 
+      tcopy-=usecond();
       Copy_plane(ret,rhs,dimension,x,sx,cbmask); 
+      tcopy+=usecond();
 
     } else {
 
@@ -324,7 +370,9 @@ template<class vobj> void Cshift_comms(Lattice<vobj> &ret,const Lattice<vobj> &r
 
       int bytes = words * sizeof(vobj);
 
+      tgather-=usecond();
       Gather_plane_simple (rhs,send_buf_v,dimension,sx,cbmask);
+      tgather+=usecond();
 
       //      int rank           = grid->_processor;
       int recv_from_rank;
@@ -332,7 +380,8 @@ template<class vobj> void Cshift_comms(Lattice<vobj> &ret,const Lattice<vobj> &r
       grid->ShiftedRanks(dimension,comm_proc,xmit_to_rank,recv_from_rank);
 
 
-      grid->Barrier();
+      tcomms-=usecond();
+      //      grid->Barrier();
 
       acceleratorCopyDeviceToDevice((void *)&send_buf_v[0],(void *)&send_buf[0],bytes);
       grid->SendToRecvFrom((void *)&send_buf[0],
@@ -340,13 +389,24 @@ template<class vobj> void Cshift_comms(Lattice<vobj> &ret,const Lattice<vobj> &r
 			   (void *)&recv_buf[0],
 			   recv_from_rank,
 			   bytes);
+      xbytes+=bytes;
       acceleratorCopyDeviceToDevice((void *)&recv_buf[0],(void *)&recv_buf_v[0],bytes);
 
-      grid->Barrier();
+      //      grid->Barrier();
+      tcomms+=usecond();
 
+      tscatter-=usecond();
       Scatter_plane_simple (ret,recv_buf_v,dimension,x,cbmask);
+      tscatter+=usecond();
     }
   }
+  /*
+  std::cout << GridLogPerformance << " Cshift copy    "<<tcopy/1e3<<" ms"<<std::endl;
+  std::cout << GridLogPerformance << " Cshift gather  "<<tgather/1e3<<" ms"<<std::endl;
+  std::cout << GridLogPerformance << " Cshift scatter "<<tscatter/1e3<<" ms"<<std::endl;
+  std::cout << GridLogPerformance << " Cshift comm    "<<tcomms/1e3<<" ms"<<std::endl;
+  std::cout << GridLogPerformance << " Cshift BW      "<<(2.0*xbytes)/tcomms<<" MB/s "<<2*xbytes<< " Bytes "<<std::endl;
+  */
 }
 
 template<class vobj> void  Cshift_comms_simd(Lattice<vobj> &ret,const Lattice<vobj> &rhs,int dimension,int shift,int cbmask)
@@ -372,6 +432,11 @@ template<class vobj> void  Cshift_comms_simd(Lattice<vobj> &ret,const Lattice<vo
   assert(simd_layout==2);
   assert(shift>=0);
   assert(shift<fd);
+  RealD tcopy=0.0;
+  RealD tgather=0.0;
+  RealD tscatter=0.0;
+  RealD tcomms=0.0;
+  uint64_t xbytes=0;
 
   int permute_type=grid->PermuteType(dimension);
 
@@ -414,8 +479,10 @@ template<class vobj> void  Cshift_comms_simd(Lattice<vobj> &ret,const Lattice<vo
     for(int i=0;i<Nsimd;i++){       
       pointers[i] = &send_buf_extract[i][0];
     }
+    tgather-=usecond();
     int sx   = (x+sshift)%rd;
     Gather_plane_extract(rhs,pointers,dimension,sx,cbmask);
+    tgather+=usecond();
 
     for(int i=0;i<Nsimd;i++){
       
@@ -440,7 +507,8 @@ template<class vobj> void  Cshift_comms_simd(Lattice<vobj> &ret,const Lattice<vo
       if(nbr_proc){
 	grid->ShiftedRanks(dimension,nbr_proc,xmit_to_rank,recv_from_rank); 
 
-	grid->Barrier();
+	tcomms-=usecond();
+	//	grid->Barrier();
 
 	acceleratorCopyDeviceToDevice((void *)&send_buf_extract[nbr_lane][0],(void *)send_buf_extract_mpi,bytes);
 	grid->SendToRecvFrom((void *)send_buf_extract_mpi,
@@ -449,17 +517,28 @@ template<class vobj> void  Cshift_comms_simd(Lattice<vobj> &ret,const Lattice<vo
 			     recv_from_rank,
 			     bytes);
 	acceleratorCopyDeviceToDevice((void *)recv_buf_extract_mpi,(void *)&recv_buf_extract[i][0],bytes);
+	xbytes+=bytes;
 
-	grid->Barrier();
+	//	grid->Barrier();
+	tcomms+=usecond();
 	rpointers[i] = &recv_buf_extract[i][0];
       } else { 
 	rpointers[i] = &send_buf_extract[nbr_lane][0];
       }
 
     }
+    tscatter-=usecond();
     Scatter_plane_merge(ret,rpointers,dimension,x,cbmask);
-  }
+    tscatter+=usecond();
 
+  }
+  /*
+  std::cout << GridLogPerformance << " Cshift (s) copy    "<<tcopy/1e3<<" ms"<<std::endl;
+  std::cout << GridLogPerformance << " Cshift (s) gather  "<<tgather/1e3<<" ms"<<std::endl;
+  std::cout << GridLogPerformance << " Cshift (s) scatter "<<tscatter/1e3<<" ms"<<std::endl;
+  std::cout << GridLogPerformance << " Cshift (s) comm    "<<tcomms/1e3<<" ms"<<std::endl;
+  std::cout << GridLogPerformance << " Cshift BW      "<<(2.0*xbytes)/tcomms<<" MB/s"<<std::endl;
+  */
 }
 #endif
 NAMESPACE_END(Grid); 

Grid/cshift/Cshift_table.cc

@@ -1,4 +1,5 @@
 #include <Grid/GridCore.h>       
 NAMESPACE_BEGIN(Grid);
-Vector<std::pair<int,int> > Cshift_table; 
+std::vector<std::pair<int,int> > Cshift_table; 
+commVector<std::pair<int,int> > Cshift_table_device; 
 NAMESPACE_END(Grid);

Grid/lattice/Lattice.h

@@ -35,6 +35,7 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
 #include <Grid/lattice/Lattice_transpose.h>
 #include <Grid/lattice/Lattice_local.h>
 #include <Grid/lattice/Lattice_reduction.h>
+#include <Grid/lattice/Lattice_crc.h>
 #include <Grid/lattice/Lattice_peekpoke.h>
 #include <Grid/lattice/Lattice_reality.h>
 #include <Grid/lattice/Lattice_real_imag.h>
@@ -46,5 +47,4 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
 #include <Grid/lattice/Lattice_unary.h>
 #include <Grid/lattice/Lattice_transfer.h>
 #include <Grid/lattice/Lattice_basis.h>
-#include <Grid/lattice/Lattice_crc.h>
 #include <Grid/lattice/PaddedCell.h>

Grid/lattice/Lattice_arith.h

@@ -270,5 +270,42 @@ RealD axpby_norm(Lattice<vobj> &ret,sobj a,sobj b,const Lattice<vobj> &x,const L
     return axpby_norm_fast(ret,a,b,x,y);
 }
 
+/// Trace product
+template<class obj> auto traceProduct(const Lattice<obj> &rhs_1,const Lattice<obj> &rhs_2)
+  -> Lattice<decltype(trace(obj()))>
+{
+  typedef decltype(trace(obj())) robj;
+  Lattice<robj> ret_i(rhs_1.Grid());
+  autoView( rhs1 , rhs_1, AcceleratorRead);
+  autoView( rhs2 , rhs_2, AcceleratorRead);
+  autoView( ret , ret_i, AcceleratorWrite);
+  ret.Checkerboard() = rhs_1.Checkerboard();
+  accelerator_for(ss,rhs1.size(),obj::Nsimd(),{
+      coalescedWrite(ret[ss],traceProduct(rhs1(ss),rhs2(ss)));
+  });
+  return ret_i;
+}
+
+template<class obj1,class obj2> auto traceProduct(const Lattice<obj1> &rhs_1,const obj2 &rhs2)
+  -> Lattice<decltype(trace(obj1()))>
+{
+  typedef decltype(trace(obj1())) robj;
+  Lattice<robj> ret_i(rhs_1.Grid());
+  autoView( rhs1 , rhs_1, AcceleratorRead);
+  autoView( ret , ret_i, AcceleratorWrite);
+  ret.Checkerboard() = rhs_1.Checkerboard();
+  accelerator_for(ss,rhs1.size(),obj1::Nsimd(),{
+      coalescedWrite(ret[ss],traceProduct(rhs1(ss),rhs2));
+  });
+  return ret_i;
+}
+template<class obj1,class obj2> auto traceProduct(const obj2 &rhs_2,const Lattice<obj1> &rhs_1)
+  -> Lattice<decltype(trace(obj1()))>
+{
+  return traceProduct(rhs_1,rhs_2);
+}
+
+
+
 NAMESPACE_END(Grid);
 #endif

Grid/lattice/Lattice_base.h

@@ -360,7 +360,7 @@ public:
 
 template<class vobj> std::ostream& operator<< (std::ostream& stream, const Lattice<vobj> &o){
   typedef typename vobj::scalar_object sobj;
-  for(int64_t g=0;g<o.Grid()->_gsites;g++){
+  for(int g=0;g<o.Grid()->_gsites;g++){
 
     Coordinate gcoor;
     o.Grid()->GlobalIndexToGlobalCoor(g,gcoor);

Grid/lattice/Lattice_basis.h

@@ -62,7 +62,7 @@ void basisRotate(VField &basis,Matrix& Qt,int j0, int j1, int k0,int k1,int Nm)
     basis_v.push_back(basis[k].View(AcceleratorWrite));
   }
 
-#if ( (!defined(GRID_CUDA)) )
+#if ( !(defined(GRID_CUDA) || defined(GRID_HIP) || defined(GRID_SYCL)) )
   int max_threads = thread_max();
   Vector < vobj > Bt(Nm * max_threads);
   thread_region

Grid/lattice/Lattice_crc.h

@@ -29,7 +29,7 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
 
 NAMESPACE_BEGIN(Grid);
 
-template<class vobj> void DumpSliceNorm(std::string s,const Lattice<vobj> &f,int mu=-1)
+template<class vobj> void DumpSliceNorm(std::string s,Lattice<vobj> &f,int mu=-1)
 {
   auto ff = localNorm2(f);
   if ( mu==-1 ) mu = f.Grid()->Nd()-1;
@@ -42,13 +42,13 @@ template<class vobj> void DumpSliceNorm(std::string s,const Lattice<vobj> &f,int
   }
 }
 
-template<class vobj> uint32_t crc(Lattice<vobj> & buf)
+template<class vobj> uint32_t crc(const Lattice<vobj> & buf)
 {
   autoView( buf_v , buf, CpuRead);
   return ::crc32(0L,(unsigned char *)&buf_v[0],(size_t)sizeof(vobj)*buf.oSites());
 }
 
-#define CRC(U) std::cout << "FingerPrint "<<__FILE__ <<" "<< __LINE__ <<" "<< #U <<" "<<crc(U)<<std::endl;
+#define CRC(U) std::cerr << "FingerPrint "<<__FILE__ <<" "<< __LINE__ <<" "<< #U <<" "<<crc(U)<<std::endl;
 
 NAMESPACE_END(Grid);
 

Grid/lattice/Lattice_reduction.h

@@ -31,6 +31,7 @@ Author: Christoph Lehner <christoph@lhnr.de>
 #if defined(GRID_SYCL)
 #include <Grid/lattice/Lattice_reduction_sycl.h>
 #endif
+#include <Grid/lattice/Lattice_slicesum_core.h>
 
 NAMESPACE_BEGIN(Grid);
 
@@ -203,27 +204,6 @@ template<class vobj> inline RealD norm2(const Lattice<vobj> &arg){
   return real(nrm); 
 }
 
-
-template<class Op,class T1>
-inline auto norm2(const LatticeUnaryExpression<Op,T1> & expr)  ->RealD
-{
-  return norm2(closure(expr));
-}
-
-template<class Op,class T1,class T2>
-inline auto norm2(const LatticeBinaryExpression<Op,T1,T2> & expr)      ->RealD
-{
-  return norm2(closure(expr));
-}
-
-
-template<class Op,class T1,class T2,class T3>
-inline auto norm2(const LatticeTrinaryExpression<Op,T1,T2,T3> & expr)      ->RealD
-{
-  return norm2(closure(expr));
-}
-
-
 //The global maximum of the site norm2
 template<class vobj> inline RealD maxLocalNorm2(const Lattice<vobj> &arg)
 {
@@ -305,6 +285,7 @@ template<class vobj>
 inline ComplexD innerProduct(const Lattice<vobj> &left,const Lattice<vobj> &right) {
   GridBase *grid = left.Grid();
   ComplexD nrm = rankInnerProduct(left,right);
+  //  std::cerr<<"flight log " << std::hexfloat << nrm <<" "<<crc(left)<<std::endl;
   grid->GlobalSum(nrm);
   return nrm;
 }
@@ -469,19 +450,10 @@ template<class vobj> inline void sliceSum(const Lattice<vobj> &Data,std::vector<
   int e1=    grid->_slice_nblock[orthogdim];
   int e2=    grid->_slice_block [orthogdim];
   int stride=grid->_slice_stride[orthogdim];
+  int ostride=grid->_ostride[orthogdim];
   
-  // sum over reduced dimension planes, breaking out orthog dir
-  // Parallel over orthog direction
-  autoView( Data_v, Data, CpuRead);
-  thread_for( r,rd, {
-    int so=r*grid->_ostride[orthogdim]; // base offset for start of plane 
-    for(int n=0;n<e1;n++){
-      for(int b=0;b<e2;b++){
-	int ss= so+n*stride+b;
-	lvSum[r]=lvSum[r]+Data_v[ss];
-      }
-    }
-  });
+  //Reduce Data down to lvSum
+  sliceSumReduction(Data,lvSum,rd, e1,e2,stride,ostride,Nsimd);
 
   // Sum across simd lanes in the plane, breaking out orthog dir.
   Coordinate icoor(Nd);
@@ -525,6 +497,7 @@ sliceSum(const Lattice<vobj> &Data,int orthogdim)
   return result;
 }
 
+
 template<class vobj>
 static void sliceInnerProductVector( std::vector<ComplexD> & result, const Lattice<vobj> &lhs,const Lattice<vobj> &rhs,int orthogdim) 
 {

Grid/lattice/Lattice_reduction_gpu.h

@@ -30,7 +30,7 @@ int getNumBlocksAndThreads(const Iterator n, const size_t sizeofsobj, Iterator &
   cudaGetDevice(&device);
 #endif
 #ifdef GRID_HIP
-  auto discard=hipGetDevice(&device);
+  auto r=hipGetDevice(&device);
 #endif
   
   Iterator warpSize            = gpu_props[device].warpSize;

Grid/lattice/Lattice_rng.h

@@ -152,6 +152,7 @@ public:
 #ifdef RNG_FAST_DISCARD
   static void Skip(RngEngine &eng,uint64_t site)
   {
+#if 0
     /////////////////////////////////////////////////////////////////////////////////////
     // Skip by 2^40 elements between successive lattice sites
     // This goes by 10^12.
@@ -179,6 +180,9 @@ public:
     assert((skip >> shift)==site); // check for overflow
 
     eng.discard(skip);
+#else
+    eng.discardhi(site);
+#endif
     //      std::cout << " Engine  " <<site << " state " <<eng<<std::endl;
   } 
 #endif
@@ -361,14 +365,9 @@ public:
     _bernoulli.resize(_vol,std::discrete_distribution<int32_t>{1,1});
     _uid.resize(_vol,std::uniform_int_distribution<uint32_t>() );
   }
-  template <class vobj,class distribution> inline void fill(Lattice<vobj> &l,std::vector<distribution> &dist)
-  {
-    if ( l.Grid()->_isCheckerBoarded ) {
-      Lattice<vobj> tmp(_grid);
-      fill(tmp,dist);
-      pickCheckerboard(l.Checkerboard(),l,tmp);
-      return;
-    }
+
+  template <class vobj,class distribution> inline void fill(Lattice<vobj> &l,std::vector<distribution> &dist){
+
     typedef typename vobj::scalar_object scalar_object;
     typedef typename vobj::scalar_type scalar_type;
     typedef typename vobj::vector_type vector_type;
@@ -432,7 +431,7 @@ public:
 #if 1
     thread_for( lidx, _grid->lSites(), {
 
-	int64_t gidx;
+	int gidx;
 	int o_idx;
 	int i_idx;
 	int rank;

Grid/lattice/Lattice_slicesum_core.h

@@ -0,0 +1,213 @@
+#pragma once
+#include <type_traits>
+#if defined(GRID_CUDA)
+
+#include <cub/cub.cuh>
+#define gpucub cub
+#define gpuError_t cudaError_t
+#define gpuSuccess cudaSuccess
+
+#elif defined(GRID_HIP)
+
+#include <hipcub/hipcub.hpp>
+#define gpucub hipcub
+#define gpuError_t hipError_t
+#define gpuSuccess hipSuccess
+
+#endif
+
+
+NAMESPACE_BEGIN(Grid);
+
+
+#if defined(GRID_CUDA) || defined(GRID_HIP)
+template<class vobj> inline void sliceSumReduction_cub_small(const vobj *Data, Vector<vobj> &lvSum, const int rd, const int e1, const int e2, const int stride, const int ostride, const int Nsimd) {
+  size_t subvol_size = e1*e2;
+  commVector<vobj> reduction_buffer(rd*subvol_size);
+  auto rb_p = &reduction_buffer[0];
+  vobj zero_init;
+  zeroit(zero_init);
+
+  
+  void *temp_storage_array = NULL;
+  size_t temp_storage_bytes = 0;
+  vobj *d_out;
+  int* d_offsets;
+
+  std::vector<int> offsets(rd+1,0);
+
+  for (int i = 0; i < offsets.size(); i++) {
+    offsets[i] = i*subvol_size;
+  }
+  
+  //Allocate memory for output and offset arrays on device
+  d_out = static_cast<vobj*>(acceleratorAllocDevice(rd*sizeof(vobj)));
+  
+  d_offsets = static_cast<int*>(acceleratorAllocDevice((rd+1)*sizeof(int)));
+  
+  //copy offsets to device
+  acceleratorCopyToDeviceAsync(&offsets[0],d_offsets,sizeof(int)*(rd+1),computeStream);
+  
+  
+  gpuError_t gpuErr = gpucub::DeviceSegmentedReduce::Reduce(temp_storage_array, temp_storage_bytes, rb_p,d_out, rd, d_offsets, d_offsets+1, ::gpucub::Sum(), zero_init, computeStream);
+  if (gpuErr!=gpuSuccess) {
+    std::cout << GridLogError << "Lattice_slicesum_gpu.h: Encountered error during gpucub::DeviceSegmentedReduce::Reduce (setup)! Error: " << gpuErr <<std::endl;
+    exit(EXIT_FAILURE);
+  }
+
+  //allocate memory for temp_storage_array  
+  temp_storage_array = acceleratorAllocDevice(temp_storage_bytes);
+  
+  //prepare buffer for reduction
+  //use non-blocking accelerator_for to avoid syncs (ok because we submit to same computeStream)
+  //use 2d accelerator_for to avoid launch latencies found when serially looping over rd 
+  accelerator_for2dNB( s,subvol_size, r,rd, Nsimd,{ 
+  
+    int n = s / e2;
+    int b = s % e2;
+    int so=r*ostride; // base offset for start of plane 
+    int ss= so+n*stride+b;
+
+    coalescedWrite(rb_p[r*subvol_size+s], coalescedRead(Data[ss]));
+
+  });
+  
+  //issue segmented reductions in computeStream
+  gpuErr = gpucub::DeviceSegmentedReduce::Reduce(temp_storage_array, temp_storage_bytes, rb_p, d_out, rd, d_offsets, d_offsets+1,::gpucub::Sum(), zero_init, computeStream);
+  if (gpuErr!=gpuSuccess) {
+    std::cout << GridLogError << "Lattice_slicesum_gpu.h: Encountered error during gpucub::DeviceSegmentedReduce::Reduce! Error: " << gpuErr <<std::endl;
+    exit(EXIT_FAILURE);
+  }
+  
+  acceleratorCopyFromDeviceAsync(d_out,&lvSum[0],rd*sizeof(vobj),computeStream);
+  
+  //sync after copy
+  accelerator_barrier();
+ 
+  acceleratorFreeDevice(temp_storage_array);
+  acceleratorFreeDevice(d_out);
+  acceleratorFreeDevice(d_offsets);
+  
+
+}
+
+template<class vobj> inline void sliceSumReduction_cub_large(const vobj *Data, Vector<vobj> &lvSum, const int rd, const int e1, const int e2, const int stride, const int ostride, const int Nsimd) {
+  typedef typename vobj::vector_type vector;
+  const int words = sizeof(vobj)/sizeof(vector);
+  const int osites = rd*e1*e2;
+  commVector<vector>buffer(osites);
+  vector *dat = (vector *)Data;
+  vector *buf = &buffer[0];
+  Vector<vector> lvSum_small(rd);
+  vector *lvSum_ptr = (vector *)&lvSum[0];
+
+  for (int w = 0; w < words; w++) {
+    accelerator_for(ss,osites,1,{
+	    buf[ss] = dat[ss*words+w];
+    });
+
+    sliceSumReduction_cub_small(buf,lvSum_small,rd,e1,e2,stride, ostride,Nsimd);
+      
+    for (int r = 0; r < rd; r++) {
+      lvSum_ptr[w+words*r]=lvSum_small[r];
+    }
+
+  }
+
+  
+}
+
+template<class vobj> inline void sliceSumReduction_cub(const Lattice<vobj> &Data, Vector<vobj> &lvSum, const int rd, const int e1, const int e2, const int stride, const int ostride, const int Nsimd)
+{
+  autoView(Data_v, Data, AcceleratorRead); //hipcub/cub cannot deal with large vobjs so we split into small/large case.
+    if constexpr (sizeof(vobj) <= 256) { 
+      sliceSumReduction_cub_small(&Data_v[0], lvSum, rd, e1, e2, stride, ostride, Nsimd);
+    }
+    else {
+      sliceSumReduction_cub_large(&Data_v[0], lvSum, rd, e1, e2, stride, ostride, Nsimd);
+    }
+}
+#endif
+
+
+#if defined(GRID_SYCL)
+template<class vobj> inline void sliceSumReduction_sycl(const Lattice<vobj> &Data, Vector <vobj> &lvSum, const int  &rd, const int &e1, const int &e2, const int &stride, const int &ostride, const int &Nsimd)
+{
+  typedef typename vobj::scalar_object sobj;
+  size_t subvol_size = e1*e2;
+
+  vobj *mysum = (vobj *) malloc_shared(sizeof(vobj),*theGridAccelerator);
+  vobj vobj_zero;
+  zeroit(vobj_zero);
+    
+  commVector<vobj> reduction_buffer(rd*subvol_size);    
+
+  auto rb_p = &reduction_buffer[0];
+
+  autoView(Data_v, Data, AcceleratorRead);
+
+  //prepare reduction buffer 
+  accelerator_for2d( s,subvol_size, r,rd, (size_t)Nsimd,{ 
+  
+      int n = s / e2;
+      int b = s % e2;
+      int so=r*ostride; // base offset for start of plane 
+      int ss= so+n*stride+b;
+
+      coalescedWrite(rb_p[r*subvol_size+s], coalescedRead(Data_v[ss]));
+
+  });
+
+  for (int r = 0; r < rd; r++) {
+      mysum[0] = vobj_zero; //dirty hack: cannot pass vobj_zero as identity to sycl::reduction as its not device_copyable
+      theGridAccelerator->submit([&](cl::sycl::handler &cgh) {
+          auto Reduction = cl::sycl::reduction(mysum,std::plus<>());
+          cgh.parallel_for(cl::sycl::range<1>{subvol_size},
+          Reduction,
+          [=](cl::sycl::id<1> item, auto &sum) {
+              auto s = item[0];
+              sum += rb_p[r*subvol_size+s];
+          });
+      });
+      theGridAccelerator->wait();
+      lvSum[r] = mysum[0];
+  }
+  
+  free(mysum,*theGridAccelerator);
+}
+#endif
+
+template<class vobj> inline void sliceSumReduction_cpu(const Lattice<vobj> &Data, Vector<vobj> &lvSum, const int &rd, const int &e1, const int &e2, const int &stride, const int &ostride, const int &Nsimd)
+{
+  // sum over reduced dimension planes, breaking out orthog dir
+  // Parallel over orthog direction
+  autoView( Data_v, Data, CpuRead);
+  thread_for( r,rd, {
+    int so=r*ostride; // base offset for start of plane 
+    for(int n=0;n<e1;n++){
+      for(int b=0;b<e2;b++){
+        int ss= so+n*stride+b;
+        lvSum[r]=lvSum[r]+Data_v[ss];
+      }
+    }
+  });
+}
+
+template<class vobj> inline void sliceSumReduction(const Lattice<vobj> &Data, Vector<vobj> &lvSum, const int &rd, const int &e1, const int &e2, const int &stride, const int &ostride, const int &Nsimd) 
+{
+  #if defined(GRID_CUDA) || defined(GRID_HIP)
+  
+  sliceSumReduction_cub(Data, lvSum, rd, e1, e2, stride, ostride, Nsimd);
+  
+  #elif defined(GRID_SYCL)
+  
+  sliceSumReduction_sycl(Data, lvSum, rd, e1, e2, stride, ostride, Nsimd);
+  
+  #else
+  sliceSumReduction_cpu(Data, lvSum, rd, e1, e2, stride, ostride, Nsimd);
+
+  #endif
+}
+
+
+NAMESPACE_END(Grid);

Grid/lattice/Lattice_transfer.h

@@ -276,65 +276,18 @@ inline void blockProject(Lattice<iVector<CComplex,nbasis > > &coarseData,
 
   autoView( coarseData_ , coarseData, AcceleratorWrite);
   autoView( ip_         , ip,         AcceleratorWrite);
-  RealD t_IP=0;
-  RealD t_co=0;
-  RealD t_za=0;
   for(int v=0;v<nbasis;v++) {
-    t_IP-=usecond();
     blockInnerProductD(ip,Basis[v],fineDataRed); // ip = <basis|fine>
-    t_IP+=usecond();
-    t_co-=usecond();
     accelerator_for( sc, coarse->oSites(), vobj::Nsimd(), {
 	convertType(coarseData_[sc](v),ip_[sc]);
     });
-    t_co+=usecond();
 
     // improve numerical stability of projection
     // |fine> = |fine> - <basis|fine> |basis>
     ip=-ip;
-    t_za-=usecond();
     blockZAXPY(fineDataRed,ip,Basis[v],fineDataRed); 
-    t_za+=usecond();
   }
-  //  std::cout << GridLogPerformance << " blockProject : blockInnerProduct :  "<<t_IP<<" us"<<std::endl;
-  //  std::cout << GridLogPerformance << " blockProject : conv              :  "<<t_co<<" us"<<std::endl;
-  //  std::cout << GridLogPerformance << " blockProject : blockZaxpy        :  "<<t_za<<" us"<<std::endl;
 }
-
-
-template<class vobj,class CComplex,int nbasis,class VLattice>
-inline void blockProjectFast(Lattice<iVector<CComplex,nbasis > > &coarseData,
-			     const             Lattice<vobj>   &fineData,
-			     const VLattice &Basis)
-{
-  GridBase * fine  = fineData.Grid();
-  GridBase * coarse= coarseData.Grid();
-
-  Lattice<iScalar<CComplex>> ip(coarse);
-  Lattice<vobj>     fineDataRed = fineData;
-
-  autoView( coarseData_ , coarseData, AcceleratorWrite);
-  autoView( ip_         , ip,         AcceleratorWrite);
-  RealD t_IP=0;
-  RealD t_co=0;
-  for(int v=0;v<nbasis;v++) {
-    t_IP-=usecond();
-    blockInnerProductD(ip,Basis[v],fineData); // ip = <basis|fine>
-    t_IP+=usecond();
-    t_co-=usecond();
-    accelerator_for( sc, coarse->oSites(), vobj::Nsimd(), {
-	convertType(coarseData_[sc](v),ip_[sc]);
-    });
-    t_co+=usecond();
-  }
-  //  std::cout << GridLogPerformance << " blockProjectFast : blockInnerProduct :  "<<t_IP<<" us"<<std::endl;
-  //  std::cout << GridLogPerformance << " blockProjectFast : conv              :  "<<t_co<<" us"<<std::endl;
-}
-
-
-// This only minimises data motion from CPU to GPU
-// there is chance of better implementation that does a vxk loop of inner products to data share
-// at the GPU thread level
 template<class vobj,class CComplex,int nbasis,class VLattice>
 inline void batchBlockProject(std::vector<Lattice<iVector<CComplex,nbasis>>> &coarseData,
                                const std::vector<Lattice<vobj>> &fineData,
@@ -440,15 +393,8 @@ template<class vobj,class CComplex>
   Lattice<dotp> coarse_inner(coarse);
 
   // Precision promotion
-  RealD t;
-  t=-usecond();
   fine_inner = localInnerProductD<vobj>(fineX,fineY);
-  //  t+=usecond(); std::cout << GridLogPerformance << " blockInnerProduct : localInnerProductD "<<t<<" us"<<std::endl;
-  
-  t=-usecond();
   blockSum(coarse_inner,fine_inner);
-  //  t+=usecond(); std::cout << GridLogPerformance << " blockInnerProduct : blockSum "<<t<<" us"<<std::endl;
-  t=-usecond();
   {
     autoView( CoarseInner_  , CoarseInner,AcceleratorWrite);
     autoView( coarse_inner_ , coarse_inner,AcceleratorRead);
@@ -456,7 +402,6 @@ template<class vobj,class CComplex>
       convertType(CoarseInner_[ss], TensorRemove(coarse_inner_[ss]));
     });
   }
-  //  t+=usecond(); std::cout << GridLogPerformance << " blockInnerProduct : convertType "<<t<<" us"<<std::endl;
  
 }
 
@@ -499,9 +444,6 @@ inline void blockNormalise(Lattice<CComplex> &ip,Lattice<vobj> &fineX)
 template<class vobj>
 inline void blockSum(Lattice<vobj> &coarseData,const Lattice<vobj> &fineData) 
 {
-  const int maxsubsec=256;
-  typedef iVector<vobj,maxsubsec> vSubsec;
-
   GridBase * fine  = fineData.Grid();
   GridBase * coarse= coarseData.Grid();
 
@@ -527,34 +469,16 @@ inline void blockSum(Lattice<vobj> &coarseData,const Lattice<vobj> &fineData)
   Coordinate fine_rdimensions = fine->_rdimensions;
   Coordinate coarse_rdimensions = coarse->_rdimensions;
 
-  vobj zz = Zero();
-
-  // Somewhat lazy calculation
-  // Find the biggest power of two subsection divisor less than or equal to maxsubsec
-  int subsec=maxsubsec;
-  int subvol;
-  subvol=blockVol/subsec;
-  while(subvol*subsec!=blockVol){
-    subsec = subsec/2;
-    subvol=blockVol/subsec;
-  };
-
-  Lattice<vSubsec> coarseTmp(coarse);
-  autoView( coarseTmp_, coarseTmp, AcceleratorWriteDiscard);
-  auto coarseTmp_p= &coarseTmp_[0];
-  
-  // Sum within subsecs in a first kernel
-  accelerator_for(sce,subsec*coarse->oSites(),vobj::Nsimd(),{
-
-      int sc=sce/subsec;
-      int e=sce%subsec;
+  accelerator_for(sc,coarse->oSites(),1,{
 
       // One thread per sub block
       Coordinate coor_c(_ndimension);
       Lexicographic::CoorFromIndex(coor_c,sc,coarse_rdimensions);  // Block coordinate
 
-      auto cd = coalescedRead(zz);
-      for(int sb=e*subvol;sb<MIN((e+1)*subvol,blockVol);sb++){
+      vobj cd = Zero();
+      
+      for(int sb=0;sb<blockVol;sb++){
+
 	int sf;
 	Coordinate coor_b(_ndimension);
 	Coordinate coor_f(_ndimension);
@@ -562,21 +486,12 @@ inline void blockSum(Lattice<vobj> &coarseData,const Lattice<vobj> &fineData)
 	for(int d=0;d<_ndimension;d++) coor_f[d]=coor_c[d]*block_r[d] + coor_b[d];
 	Lexicographic::IndexFromCoor(coor_f,sf,fine_rdimensions);
 
-	cd=cd+coalescedRead(fineData_p[sf]);
+	cd=cd+fineData_p[sf];
       }
 
-      coalescedWrite(coarseTmp_[sc](e),cd);
+      coarseData_p[sc] = cd;
 
     });
-   // Sum across subsecs in a second kernel
-   accelerator_for(sc,coarse->oSites(),vobj::Nsimd(),{
-      auto cd = coalescedRead(coarseTmp_p[sc](0));
-      for(int e=1;e<subsec;e++){
-	cd=cd+coalescedRead(coarseTmp_p[sc](e));
-      }
-      coalescedWrite(coarseData_p[sc],cd);
-   });
-
   return;
 }
 
@@ -633,7 +548,7 @@ inline void blockOrthogonalise(Lattice<CComplex> &ip,std::vector<Lattice<vobj> >
   blockOrthonormalize(ip,Basis);
 }
 
-#ifdef GRID_ACCELERATED
+#if 0
 // TODO: CPU optimized version here
 template<class vobj,class CComplex,int nbasis>
 inline void blockPromote(const Lattice<iVector<CComplex,nbasis > > &coarseData,
@@ -659,37 +574,26 @@ inline void blockPromote(const Lattice<iVector<CComplex,nbasis > > &coarseData,
   autoView( fineData_   , fineData, AcceleratorWrite);
   autoView( coarseData_ , coarseData, AcceleratorRead);
 
-  typedef LatticeView<vobj> Vview;
-  std::vector<Vview> AcceleratorVecViewContainer_h; 
-  for(int v=0;v<nbasis;v++) {
-    AcceleratorVecViewContainer_h.push_back(Basis[v].View(AcceleratorRead));
-  }
-  static deviceVector<Vview> AcceleratorVecViewContainer; AcceleratorVecViewContainer.resize(nbasis); 
-  acceleratorCopyToDevice(&AcceleratorVecViewContainer_h[0],&AcceleratorVecViewContainer[0],nbasis *sizeof(Vview));
-  auto Basis_p = &AcceleratorVecViewContainer[0];
   // Loop with a cache friendly loop ordering
-  Coordinate frdimensions=fine->_rdimensions;
-  Coordinate crdimensions=coarse->_rdimensions;
-  accelerator_for(sf,fine->oSites(),vobj::Nsimd(),{
+  accelerator_for(sf,fine->oSites(),1,{
     int sc;
     Coordinate coor_c(_ndimension);
     Coordinate coor_f(_ndimension);
 
-    Lexicographic::CoorFromIndex(coor_f,sf,frdimensions);
+    Lexicographic::CoorFromIndex(coor_f,sf,fine->_rdimensions);
     for(int d=0;d<_ndimension;d++) coor_c[d]=coor_f[d]/block_r[d];
-    Lexicographic::IndexFromCoor(coor_c,sc,crdimensions);
+    Lexicographic::IndexFromCoor(coor_c,sc,coarse->_rdimensions);
 
-    auto sum= coarseData_(sc)(0) *Basis_p[0](sf);
-    for(int i=1;i<nbasis;i++) sum = sum + coarseData_(sc)(i)*Basis_p[i](sf);
-    coalescedWrite(fineData_[sf],sum);
-  });
-  for(int v=0;v<nbasis;v++) {
-    AcceleratorVecViewContainer_h[v].ViewClose();
+    for(int i=0;i<nbasis;i++) {
+      /*      auto basis_ = Basis[i],  );*/
+      if(i==0) fineData_[sf]=coarseData_[sc](i) *basis_[sf]);
+      else     fineData_[sf]=fineData_[sf]+coarseData_[sc](i)*basis_[sf]);
     }
+  });
   return;
+  
 }
 #else
-// CPU version
 template<class vobj,class CComplex,int nbasis,class VLattice>
 inline void blockPromote(const Lattice<iVector<CComplex,nbasis > > &coarseData,
 			 Lattice<vobj>   &fineData,
@@ -776,9 +680,8 @@ void localCopyRegion(const Lattice<vobj> &From,Lattice<vobj> & To,Coordinate Fro
   typedef typename vobj::scalar_type scalar_type;
   typedef typename vobj::vector_type vector_type;
 
-  ////////////////////////////////////////////////////////////////////////////////////////////////
-  // the checks should guarantee that the operations are local
-  ////////////////////////////////////////////////////////////////////////////////////////////////
+  static const int words=sizeof(vobj)/sizeof(vector_type);
+
   GridBase *Fg = From.Grid();
   GridBase *Tg = To.Grid();
   assert(!Fg->_isCheckerBoarded);
@@ -792,18 +695,38 @@ void localCopyRegion(const Lattice<vobj> &From,Lattice<vobj> & To,Coordinate Fro
   for(int d=0;d<nd;d++){
     assert(Fg->_processors[d]  == Tg->_processors[d]);
   }
+  // the above should guarantee that the operations are local
+  
+#if 1
+
   size_t nsite = 1;
   for(int i=0;i<nd;i++) nsite *= RegionSize[i];
   
-  ////////////////////////////////////////////////////////////////////////////////////////////////
-  // do the index calc on the GPU
-  ////////////////////////////////////////////////////////////////////////////////////////////////
-  Coordinate f_ostride = Fg->_ostride;
-  Coordinate f_istride = Fg->_istride;
-  Coordinate f_rdimensions = Fg->_rdimensions;
-  Coordinate t_ostride = Tg->_ostride;
-  Coordinate t_istride = Tg->_istride;
-  Coordinate t_rdimensions = Tg->_rdimensions;
+  size_t tbytes = 4*nsite*sizeof(int);
+  int *table = (int*)malloc(tbytes);
+ 
+  thread_for(idx, nsite, {
+      Coordinate from_coor, to_coor;
+      size_t rem = idx;
+      for(int i=0;i<nd;i++){
+	size_t base_i  = rem % RegionSize[i]; rem /= RegionSize[i];
+	from_coor[i] = base_i + FromLowerLeft[i];
+	to_coor[i] = base_i + ToLowerLeft[i];
+      }
+      
+      int foidx = Fg->oIndex(from_coor);
+      int fiidx = Fg->iIndex(from_coor);
+      int toidx = Tg->oIndex(to_coor);
+      int tiidx = Tg->iIndex(to_coor);
+      int* tt = table + 4*idx;
+      tt[0] = foidx;
+      tt[1] = fiidx;
+      tt[2] = toidx;
+      tt[3] = tiidx;
+    });
+  
+  int* table_d = (int*)acceleratorAllocDevice(tbytes);
+  acceleratorCopyToDevice(table,table_d,tbytes);
 
   typedef typename vobj::vector_type vector_type;
   typedef typename vobj::scalar_type scalar_type;
@@ -811,19 +734,13 @@ void localCopyRegion(const Lattice<vobj> &From,Lattice<vobj> & To,Coordinate Fro
   autoView(from_v,From,AcceleratorRead);
   autoView(to_v,To,AcceleratorWrite);
   
-  const int words=sizeof(vobj)/sizeof(vector_type);
   accelerator_for(idx,nsite,1,{
-      
-      Coordinate from_coor, to_coor, base;
-      Lexicographic::CoorFromIndex(base,idx,RegionSize);
-      for(int i=0;i<nd;i++){
-	from_coor[i] = base[i] + FromLowerLeft[i];
-	to_coor[i] = base[i] + ToLowerLeft[i];
-      }
-      int from_oidx = 0; for(int d=0;d<nd;d++) from_oidx+=f_ostride[d]*(from_coor[d]%f_rdimensions[d]);
-      int from_lane = 0; for(int d=0;d<nd;d++) from_lane+=f_istride[d]*(from_coor[d]/f_rdimensions[d]);
-      int to_oidx   = 0; for(int d=0;d<nd;d++) to_oidx+=t_ostride[d]*(to_coor[d]%t_rdimensions[d]);
-      int to_lane   = 0; for(int d=0;d<nd;d++) to_lane+=t_istride[d]*(to_coor[d]/t_rdimensions[d]);
+      static const int words=sizeof(vobj)/sizeof(vector_type);
+      int* tt = table_d + 4*idx;
+      int from_oidx = *tt++;
+      int from_lane = *tt++;
+      int to_oidx = *tt++;
+      int to_lane = *tt;
 
       const vector_type* from = (const vector_type *)&from_v[from_oidx];
       vector_type* to = (vector_type *)&to_v[to_oidx];
@@ -834,6 +751,53 @@ void localCopyRegion(const Lattice<vobj> &From,Lattice<vobj> & To,Coordinate Fro
 	putlane(to[w], stmp, to_lane);
       }
     });
+  
+  acceleratorFreeDevice(table_d);    
+  free(table);
+  
+
+#else  
+  Coordinate ldf = Fg->_ldimensions;
+  Coordinate rdf = Fg->_rdimensions;
+  Coordinate isf = Fg->_istride;
+  Coordinate osf = Fg->_ostride;
+  Coordinate rdt = Tg->_rdimensions;
+  Coordinate ist = Tg->_istride;
+  Coordinate ost = Tg->_ostride;
+
+  autoView( t_v , To, CpuWrite);
+  autoView( f_v , From, CpuRead);
+  thread_for(idx,Fg->lSites(),{
+    sobj s;
+    Coordinate Fcoor(nd);
+    Coordinate Tcoor(nd);
+    Lexicographic::CoorFromIndex(Fcoor,idx,ldf);
+    int in_region=1;
+    for(int d=0;d<nd;d++){
+      if ( (Fcoor[d] < FromLowerLeft[d]) || (Fcoor[d]>=FromLowerLeft[d]+RegionSize[d]) ){ 
+	in_region=0;
+      }
+      Tcoor[d] = ToLowerLeft[d]+ Fcoor[d]-FromLowerLeft[d];
+    }
+    if (in_region) {
+#if 0      
+      Integer idx_f = 0; for(int d=0;d<nd;d++) idx_f+=isf[d]*(Fcoor[d]/rdf[d]); // inner index from
+      Integer idx_t = 0; for(int d=0;d<nd;d++) idx_t+=ist[d]*(Tcoor[d]/rdt[d]); // inner index to
+      Integer odx_f = 0; for(int d=0;d<nd;d++) odx_f+=osf[d]*(Fcoor[d]%rdf[d]); // outer index from
+      Integer odx_t = 0; for(int d=0;d<nd;d++) odx_t+=ost[d]*(Tcoor[d]%rdt[d]); // outer index to
+      scalar_type * fp = (scalar_type *)&f_v[odx_f];
+      scalar_type * tp = (scalar_type *)&t_v[odx_t];
+      for(int w=0;w<words;w++){
+	tp[w].putlane(fp[w].getlane(idx_f),idx_t);
+      }
+#else
+    peekLocalSite(s,f_v,Fcoor);
+    pokeLocalSite(s,t_v,Tcoor);
+#endif
+    }
+  });
+
+#endif
 }
 
 
@@ -925,7 +889,7 @@ void ExtractSlice(Lattice<vobj> &lowDim,const Lattice<vobj> & higherDim,int slic
 
 }
 
-//FIXME: make this run entirely on GPU
+
 //Insert subvolume orthogonal to direction 'orthog' with slice index 'slice_lo' from 'lowDim' onto slice index 'slice_hi' of higherDim
 //The local dimensions of both 'lowDim' and 'higherDim' orthogonal to 'orthog' should be the same
 template<class vobj>
@@ -1088,7 +1052,7 @@ void Replicate(const Lattice<vobj> &coarse,Lattice<vobj> & fine)
 
   Coordinate fcoor(nd);
   Coordinate ccoor(nd);
-  for(int64_t g=0;g<fg->gSites();g++){
+  for(int g=0;g<fg->gSites();g++){
 
     fg->GlobalIndexToGlobalCoor(g,fcoor);
     for(int d=0;d<nd;d++){
@@ -1774,32 +1738,5 @@ void Grid_unsplit(std::vector<Lattice<Vobj> > & full,Lattice<Vobj>   & split)
   }
 }
 
-//////////////////////////////////////////////////////
-// MultiRHS interface support for coarse space
-// -- Simplest possible implementation to begin with
-//////////////////////////////////////////////////////
-template<class vobj,class CComplex,int nbasis,class VLattice>
-inline void blockProjectMany(Lattice<iVector<CComplex,nbasis > > &coarseIP,
-			     Lattice<iVector<CComplex,nbasis > > &coarseTMP,
-			     const VLattice &fineData, // Basis and fineData necessarily same type
-			     const VLattice &Basis)
-{
-  for(int r=0;r<fineData.size();r++){
-    blockProject(coarseTMP,fineData[r],Basis);
-    InsertSliceLocal(coarseTMP, coarseIP,r,r,0);
-  }
-}
-template<class vobj,class CComplex,int nbasis,class VLattice>
-inline void blockPromoteMany(Lattice<iVector<CComplex,nbasis > > &coarseIP,
-			     Lattice<iVector<CComplex,nbasis > > &coarseTMP,
-			     const VLattice &fineData, // Basis and fineData necessarily same type
-			     const VLattice &Basis)
-{
-  for(int r=0;r<fineData.size();r++){
-    ExtractSliceLocal(coarseTMP, coarseIP,r,r,0);
-    blockPromote(coarseTMP,fineData[r],Basis);
-  }
-}
-
 NAMESPACE_END(Grid);
 

Grid/lattice/Lattice_view.h

@@ -45,6 +45,7 @@ public:
   };
   // Host only
   GridBase * getGrid(void) const { return _grid; };
+  vobj* getHostPointer(void) const { return _odata; };
 };
 
 /////////////////////////////////////////////////////////////////////////////////////////

Grid/lattice/PaddedCell.h

@@ -45,188 +45,6 @@ struct CshiftImplGauge: public CshiftImplBase<typename Gimpl::GaugeLinkField::ve
   typename Gimpl::GaugeLinkField Cshift(const typename Gimpl::GaugeLinkField &in, int dir, int shift) const override{ return Gimpl::CshiftLink(in,dir,shift); }
 };  
 
-
-/*
- *
- * TODO: 
- *  -- address elementsof vobj via thread block in Scatter/Gather
- *  -- overlap comms with motion in Face_exchange
- *
- */
-
-template<class vobj> inline void ScatterSlice(const cshiftVector<vobj> &buf,
-					      Lattice<vobj> &lat,
-					      int x,
-					      int dim,
-					      int offset=0)
-{
-  const int Nsimd=vobj::Nsimd();
-  typedef typename vobj::scalar_object sobj;
-  typedef typename vobj::scalar_type scalar_type;
-  typedef typename vobj::vector_type vector_type;
-
-  GridBase *grid = lat.Grid();
-  Coordinate simd = grid->_simd_layout;
-  int Nd          = grid->Nd();
-  int block       = grid->_slice_block[dim];
-  int stride      = grid->_slice_stride[dim];
-  int nblock      = grid->_slice_nblock[dim];
-  int rd          = grid->_rdimensions[dim];
-
-  int ox = x%rd;
-  int ix = x/rd;
-
-  int isites = 1; for(int d=0;d<Nd;d++) if( d!=dim) isites*=simd[d];
-
-  Coordinate rsimd= simd;  rsimd[dim]=1; // maybe reduce Nsimd
-
-  int rNsimd = 1; for(int d=0;d<Nd;d++) rNsimd*=rsimd[d];
-  int rNsimda= Nsimd/simd[dim]; // should be equal
-  assert(rNsimda==rNsimd);
-  int face_ovol=block*nblock;
-
-  //  assert(buf.size()==face_ovol*rNsimd);
-
-  /*This will work GPU ONLY unless rNsimd is put in the lexico index*/
-  //Let's make it work on GPU and then make a special accelerator_for that
-  //doesn't hide the SIMD direction and keeps explicit in the threadIdx
-  //for cross platform
-  // FIXME -- can put internal indices into thread loop
-  auto buf_p = & buf[0];
-  autoView(lat_v, lat, AcceleratorWrite);
-  accelerator_for(ss, face_ovol/simd[dim],Nsimd,{
-
-    // scalar layout won't coalesce
-#ifdef GRID_SIMT
-      {
-	int blane=acceleratorSIMTlane(Nsimd); // buffer lane
-#else
-      for(int blane=0;blane<Nsimd;blane++) {
-#endif
-	int olane=blane%rNsimd;               // reduced lattice lane
-	int obit =blane/rNsimd;
-
-	///////////////////////////////////////////////////////////////
-	// osite -- potentially one bit from simd in the buffer: (ss<<1)|obit
-	///////////////////////////////////////////////////////////////
-	int ssp = ss*simd[dim]+obit;
-	int b    = ssp%block;
-	int n    = ssp/block;
-	int osite= b+n*stride + ox*block;
-	
-	////////////////////////////////////////////
-	// isite -- map lane within buffer to lane within lattice
-	////////////////////////////////////////////
-	Coordinate icoor;
-	int lane;
-	Lexicographic::CoorFromIndex(icoor,olane,rsimd);
-	icoor[dim]=ix;
-	Lexicographic::IndexFromCoor(icoor,lane,simd);
-	
-	///////////////////////////////////////////
-	// Transfer into lattice - will coalesce
-	///////////////////////////////////////////
-	//	sobj obj = extractLane(blane,buf_p[ss+offset]);
-	//	insertLane(lane,lat_v[osite],obj);
-	const int words=sizeof(vobj)/sizeof(vector_type);
-	vector_type * from = (vector_type *)&buf_p[ss+offset];
-	vector_type * to   = (vector_type *)&lat_v[osite];
-	scalar_type stmp;
-	for(int w=0;w<words;w++){
-	  stmp = getlane(from[w], blane);
-	  putlane(to[w], stmp, lane);
-	}
-      }
-  });
-}
-
-template<class vobj> inline void GatherSlice(cshiftVector<vobj> &buf,
-					     const Lattice<vobj> &lat,
-					     int x,
-					     int dim,
-					     int offset=0)
-{
-  const int Nsimd=vobj::Nsimd();
-  typedef typename vobj::scalar_object sobj;
-  typedef typename vobj::scalar_type scalar_type;
-  typedef typename vobj::vector_type vector_type;
-
-  autoView(lat_v, lat, AcceleratorRead);
-
-  GridBase *grid = lat.Grid();
-  Coordinate simd = grid->_simd_layout;
-  int Nd          = grid->Nd();
-  int block       = grid->_slice_block[dim];
-  int stride      = grid->_slice_stride[dim];
-  int nblock      = grid->_slice_nblock[dim];
-  int rd          = grid->_rdimensions[dim];
-
-  int ox = x%rd;
-  int ix = x/rd;
-
-  int isites = 1; for(int d=0;d<Nd;d++) if( d!=dim) isites*=simd[d];
-
-  Coordinate rsimd= simd;  rsimd[dim]=1; // maybe reduce Nsimd
-
-  int rNsimd = 1; for(int d=0;d<Nd;d++) rNsimd*=rsimd[d];
-  
-  int face_ovol=block*nblock;
-
-  //  assert(buf.size()==face_ovol*rNsimd);
-
-  /*This will work GPU ONLY unless rNsimd is put in the lexico index*/
-  //Let's make it work on GPU and then make a special accelerator_for that
-  //doesn't hide the SIMD direction and keeps explicit in the threadIdx
-  //for cross platform
-  //For CPU perhaps just run a loop over Nsimd
-  auto buf_p = & buf[0];
-  accelerator_for(ss, face_ovol/simd[dim],Nsimd,{
-
-    // scalar layout won't coalesce
-#ifdef GRID_SIMT
-      {
-	int blane=acceleratorSIMTlane(Nsimd); // buffer lane
-#else
-      for(int blane=0;blane<Nsimd;blane++) {
-#endif
-	int olane=blane%rNsimd;               // reduced lattice lane
-	int obit =blane/rNsimd;
-	
-	////////////////////////////////////////////
-	// osite
-	////////////////////////////////////////////
-	int ssp = ss*simd[dim]+obit;
-	int b    = ssp%block;
-	int n    = ssp/block;
-	int osite= b+n*stride + ox*block;
-
-	////////////////////////////////////////////
-	// isite -- map lane within buffer to lane within lattice
-	////////////////////////////////////////////
-	Coordinate icoor;
-	int lane;
-	Lexicographic::CoorFromIndex(icoor,olane,rsimd);
-	icoor[dim]=ix;
-	Lexicographic::IndexFromCoor(icoor,lane,simd);
-	
-	///////////////////////////////////////////
-	// Take out of lattice
-	///////////////////////////////////////////
-	//	sobj obj = extractLane(lane,lat_v[osite]);
-	//	insertLane(blane,buf_p[ss+offset],obj);
-	const int words=sizeof(vobj)/sizeof(vector_type);
-	vector_type * to    = (vector_type *)&buf_p[ss+offset];
-	vector_type * from  = (vector_type *)&lat_v[osite];
-	scalar_type stmp;
-	for(int w=0;w<words;w++){
-	  stmp = getlane(from[w], lane);
-	  putlane(to[w], stmp, blane);
-	}
-      }
-  });
-}
-
-
 class PaddedCell {
 public:
   GridCartesian * unpadded_grid;
@@ -245,19 +63,15 @@ public:
     dims=_grid->Nd();
     AllocateGrids();
     Coordinate local     =unpadded_grid->LocalDimensions();
-    Coordinate procs     =unpadded_grid->ProcessorGrid();
     for(int d=0;d<dims;d++){
-      if ( procs[d] > 1 ) assert(local[d]>=depth);
+      assert(local[d]>=depth);
     }
   }
   void DeleteGrids(void)
   {
-    Coordinate processors=unpadded_grid->_processors;
     for(int d=0;d<grids.size();d++){
-      if ( processors[d] > 1 ) { 
       delete grids[d];
     }
-    }
     grids.resize(0);
   };
   void AllocateGrids(void)
@@ -267,36 +81,27 @@ public:
     Coordinate processors=unpadded_grid->_processors;
     Coordinate plocal    =unpadded_grid->LocalDimensions();
     Coordinate global(dims);
-    GridCartesian *old_grid = unpadded_grid;
+
     // expand up one dim at a time
     for(int d=0;d<dims;d++){
 
-      if ( processors[d] > 1 ) { 
       plocal[d] += 2*depth; 
 
       for(int d=0;d<dims;d++){
 	global[d] = plocal[d]*processors[d];
       }
 
-	old_grid = new GridCartesian(global,simd,processors);
-      }
-      grids.push_back(old_grid);
+      grids.push_back(new GridCartesian(global,simd,processors));
     }
   };
   template<class vobj>
   inline Lattice<vobj> Extract(const Lattice<vobj> &in) const
   {
-    Coordinate processors=unpadded_grid->_processors;
-
     Lattice<vobj> out(unpadded_grid);
 
     Coordinate local     =unpadded_grid->LocalDimensions();
-    // depends on the MPI spread      
-    Coordinate fll(dims,depth);
+    Coordinate fll(dims,depth); // depends on the MPI spread
     Coordinate tll(dims,0); // depends on the MPI spread
-    for(int d=0;d<dims;d++){
-      if( processors[d]==1 ) fll[d]=0;
-    }
     localCopyRegion(in,out,fll,tll,local);
     return out;
   }
@@ -311,22 +116,10 @@ public:
     }
     return tmp;
   }
-  template<class vobj>
-  inline Lattice<vobj> ExchangePeriodic(const Lattice<vobj> &in) const
-  {
-    GridBase *old_grid = in.Grid();
-    int dims = old_grid->Nd();
-    Lattice<vobj> tmp = in;
-    for(int d=0;d<dims;d++){
-      tmp = ExpandPeriodic(d,tmp); // rvalue && assignment
-    }
-    return tmp;
-  }
   // expand up one dim at a time
   template<class vobj>
   inline Lattice<vobj> Expand(int dim, const Lattice<vobj> &in, const CshiftImplBase<vobj> &cshift = CshiftImplDefault<vobj>()) const
   {
-    Coordinate processors=unpadded_grid->_processors;
     GridBase *old_grid = in.Grid();
     GridCartesian *new_grid = grids[dim];//These are new grids
     Lattice<vobj>  padded(new_grid);
@@ -336,30 +129,10 @@ public:
     if(dim==0) conformable(old_grid,unpadded_grid);
     else       conformable(old_grid,grids[dim-1]);
 
+    std::cout << " dim "<<dim<<" local "<<local << " padding to "<<plocal<<std::endl;
+
     double tins=0, tshift=0;
     
-    int islocal = 0 ;
-    if ( processors[dim] == 1 ) islocal = 1;
-
-    if ( islocal ) {
-
-      // replace with a copy and maybe grid swizzle
-      // return in;??
-      double t = usecond();
-      padded = in;
-      tins += usecond() - t;
-      
-    } else {
-
-      //////////////////////////////////////////////
-      // Replace sequence with
-      // ---------------------
-      // (i) Gather high face(s); start comms
-      // (ii) Gather low  face(s); start comms
-      // (iii) Copy middle bit with localCopyRegion
-      // (iv) Complete high face(s), insert slice(s)
-      // (iv) Complete low  face(s), insert slice(s)
-      //////////////////////////////////////////////
     // Middle bit
     double t = usecond();
     for(int x=0;x<local[dim];x++){
@@ -389,183 +162,13 @@ public:
     }
     tins += usecond() - t;
 
-    }
     std::cout << GridLogPerformance << "PaddedCell::Expand timings: cshift:" << tshift/1000 << "ms, insert-slice:" << tins/1000 << "ms" << std::endl;
     
     return padded;
   }
 
-  template<class vobj>
-  inline Lattice<vobj> ExpandPeriodic(int dim, const Lattice<vobj> &in) const
-  {
-    Coordinate processors=unpadded_grid->_processors;
-    GridBase *old_grid = in.Grid();
-    GridCartesian *new_grid = grids[dim];//These are new grids
-    Lattice<vobj>  padded(new_grid);
-    //    Lattice<vobj> shifted(old_grid);    
-    Coordinate local     =old_grid->LocalDimensions();
-    Coordinate plocal    =new_grid->LocalDimensions();
-    if(dim==0) conformable(old_grid,unpadded_grid);
-    else       conformable(old_grid,grids[dim-1]);
-
-    //    std::cout << " dim "<<dim<<" local "<<local << " padding to "<<plocal<<std::endl;
-    double tins=0, tshift=0;
-
-    int islocal = 0 ;
-    if ( processors[dim] == 1 ) islocal = 1;
-
-    if ( islocal ) {
-      padded=in; // slightly different interface could avoid a copy operation
-    } else {
-      Face_exchange(in,padded,dim,depth);
-      return padded;
-    }
-    return padded;
-  }
-  template<class vobj>
-  void Face_exchange(const Lattice<vobj> &from,
-		     Lattice<vobj> &to,
-		     int dimension,int depth) const
-  {
-    typedef typename vobj::vector_type vector_type;
-    typedef typename vobj::scalar_type scalar_type;
-    typedef typename vobj::scalar_object sobj;
-
-    RealD t_gather=0.0;
-    RealD t_scatter=0.0;
-    RealD t_comms=0.0;
-    RealD t_copy=0.0;
-    
-    //    std::cout << GridLogMessage << "dimension " <<dimension<<std::endl;
-    //    DumpSliceNorm(std::string("Face_exchange from"),from,dimension);
-    GridBase *grid=from.Grid();
-    GridBase *new_grid=to.Grid();
-
-    Coordinate lds = from.Grid()->_ldimensions;
-    Coordinate nlds=   to.Grid()->_ldimensions;
-    Coordinate simd= from.Grid()->_simd_layout;
-    int ld    = lds[dimension];
-    int nld   = to.Grid()->_ldimensions[dimension];
-    const int Nsimd = vobj::Nsimd();
-
-    assert(depth<=lds[dimension]); // A must be on neighbouring node
-    assert(depth>0);   // A caller bug if zero
-    assert(ld+2*depth==nld);
-    ////////////////////////////////////////////////////////////////////////////
-    // Face size and byte calculations
-    ////////////////////////////////////////////////////////////////////////////
-    int buffer_size = 1;
-    for(int d=0;d<lds.size();d++){
-      if ( d!= dimension) buffer_size=buffer_size*lds[d];
-    }
-    buffer_size = buffer_size  / Nsimd;
-    int rNsimd = Nsimd / simd[dimension];
-    assert( buffer_size == from.Grid()->_slice_nblock[dimension]*from.Grid()->_slice_block[dimension] / simd[dimension]);
-
-    static cshiftVector<vobj> send_buf; 
-    static cshiftVector<vobj> recv_buf;
-    send_buf.resize(buffer_size*2*depth);    
-    recv_buf.resize(buffer_size*2*depth);
-
-    std::vector<CommsRequest_t> fwd_req;   
-    std::vector<CommsRequest_t> bwd_req;   
-
-    int words = buffer_size;
-    int bytes = words * sizeof(vobj);
-
-    ////////////////////////////////////////////////////////////////////////////
-    // Communication coords
-    ////////////////////////////////////////////////////////////////////////////
-    int comm_proc = 1;
-    int xmit_to_rank;
-    int recv_from_rank;
-    grid->ShiftedRanks(dimension,comm_proc,xmit_to_rank,recv_from_rank);
-
-    ////////////////////////////////////////////////////////////////////////////
-    // Gather all surface terms up to depth "d"
-    ////////////////////////////////////////////////////////////////////////////
-    RealD t;
-    RealD t_tot=-usecond();
-    int plane=0;
-    for ( int d=0;d < depth ; d ++ ) {
-      int tag = d*1024 + dimension*2+0;
-
-      t=usecond();
-      GatherSlice(send_buf,from,d,dimension,plane*buffer_size); plane++;
-      t_gather+=usecond()-t;
-
-      t=usecond();
-      grid->SendToRecvFromBegin(fwd_req,
-				(void *)&send_buf[d*buffer_size], xmit_to_rank,
-				(void *)&recv_buf[d*buffer_size], recv_from_rank, bytes, tag);
-      t_comms+=usecond()-t;
-     }
-    for ( int d=0;d < depth ; d ++ ) {
-      int tag = d*1024 + dimension*2+1;
-
-      t=usecond();
-      GatherSlice(send_buf,from,ld-depth+d,dimension,plane*buffer_size); plane++;
-      t_gather+= usecond() - t;
-
-      t=usecond();
-      grid->SendToRecvFromBegin(bwd_req,
-				(void *)&send_buf[(d+depth)*buffer_size], recv_from_rank,
-				(void *)&recv_buf[(d+depth)*buffer_size], xmit_to_rank, bytes,tag);
-      t_comms+=usecond()-t;
-    }
-
-    ////////////////////////////////////////////////////////////////////////////
-    // Copy interior -- overlap this with comms
-    ////////////////////////////////////////////////////////////////////////////
-    int Nd = new_grid->Nd();
-    Coordinate LL(Nd,0);
-    Coordinate sz = grid->_ldimensions;
-    Coordinate toLL(Nd,0);
-    toLL[dimension]=depth;
-    t=usecond();
-    localCopyRegion(from,to,LL,toLL,sz);
-    t_copy= usecond() - t;
-    
-    ////////////////////////////////////////////////////////////////////////////
-    // Scatter all faces
-    ////////////////////////////////////////////////////////////////////////////
-    plane=0;
-
-    t=usecond();
-    grid->CommsComplete(fwd_req);
-    t_comms+= usecond() - t;
-
-    t=usecond();
-    for ( int d=0;d < depth ; d ++ ) {
-      ScatterSlice(recv_buf,to,nld-depth+d,dimension,plane*buffer_size); plane++;
-    }
-    t_scatter= usecond() - t;
-
-    t=usecond();
-    grid->CommsComplete(bwd_req);
-    t_comms+= usecond() - t;
-    
-    t=usecond();
-    for ( int d=0;d < depth ; d ++ ) {
-      ScatterSlice(recv_buf,to,d,dimension,plane*buffer_size); plane++;
-    }
-    t_scatter+= usecond() - t;
-    t_tot+=usecond();
-
-    std::cout << GridLogPerformance << "PaddedCell::Expand new timings: gather :" << t_gather/1000  << "ms"<<std::endl;
-    std::cout << GridLogPerformance << "PaddedCell::Expand new timings: scatter:" << t_scatter/1000   << "ms"<<std::endl;
-    std::cout << GridLogPerformance << "PaddedCell::Expand new timings: copy   :" << t_copy/1000      << "ms"<<std::endl;
-    std::cout << GridLogPerformance << "PaddedCell::Expand new timings: comms  :" << t_comms/1000     << "ms"<<std::endl;
-    std::cout << GridLogPerformance << "PaddedCell::Expand new timings: total  :" << t_tot/1000     << "ms"<<std::endl;
-    std::cout << GridLogPerformance << "PaddedCell::Expand new timings: gather :" << depth*4.0*bytes/t_gather << "MB/s"<<std::endl;
-    std::cout << GridLogPerformance << "PaddedCell::Expand new timings: scatter:" << depth*4.0*bytes/t_scatter<< "MB/s"<<std::endl;
-    std::cout << GridLogPerformance << "PaddedCell::Expand new timings: comms  :" << (RealD)4.0*bytes/t_comms   << "MB/s"<<std::endl;
-    std::cout << GridLogPerformance << "PaddedCell::Expand new timings: face bytes  :" << depth*bytes/1e6 << "MB"<<std::endl;
-  }
-  
 };
  
 
 NAMESPACE_END(Grid);
 
-

Grid/log/Log.h

@@ -179,11 +179,11 @@ extern GridLogger GridLogSolver;
 extern GridLogger GridLogError;
 extern GridLogger GridLogWarning;
 extern GridLogger GridLogMessage;
-extern GridLogger GridLogDebug  ;
+extern GridLogger GridLogDebug;
 extern GridLogger GridLogPerformance;
 extern GridLogger GridLogDslash;
-extern GridLogger GridLogIterative  ;
-extern GridLogger GridLogIntegrator  ;
+extern GridLogger GridLogIterative;
+extern GridLogger GridLogIntegrator;
 extern GridLogger GridLogHMC;
 extern GridLogger GridLogMemory;
 extern GridLogger GridLogTracing;
@@ -191,6 +191,41 @@ extern Colours    GridLogColours;
 
 std::string demangle(const char* name) ;
 
+template<typename... Args>
+inline std::string sjoin(Args&&... args) noexcept {
+    std::ostringstream msg;
+    (msg << ... << args);
+    return msg.str();
+}
+
+/*!  @brief make log messages work like python print */
+template <typename... Args>
+inline void Grid_log(Args&&... args) {
+    std::string msg = sjoin(std::forward<Args>(args)...);
+    std::cout << GridLogMessage << msg << std::endl;
+}
+
+/*!  @brief make warning messages work like python print */
+template <typename... Args>
+inline void Grid_warn(Args&&... args) {
+    std::string msg = sjoin(std::forward<Args>(args)...);
+    std::cout << "\033[33m" << GridLogWarning << msg << "\033[0m" << std::endl;
+}
+
+/*!  @brief make error messages work like python print */
+template <typename... Args>
+inline void Grid_error(Args&&... args) {
+    std::string msg = sjoin(std::forward<Args>(args)...);
+    std::cout << "\033[31m" << GridLogError << msg << "\033[0m" << std::endl;
+}
+
+/*!  @brief make pass messages work like python print */
+template <typename... Args>
+inline void Grid_pass(Args&&... args) {
+    std::string msg = sjoin(std::forward<Args>(args)...);
+    std::cout << "\033[32m" << GridLogMessage << msg << "\033[0m" << std::endl;
+}
+
 #define _NBACKTRACE (256)
 extern void * Grid_backtrace_buffer[_NBACKTRACE];
 

Grid/parallelIO/BinaryIO.h

@@ -165,7 +165,7 @@ class BinaryIO {
 	 * FIXME -- 128^3 x 256 x 16 will overflow.
 	 */
 	
-	int64_t global_site;
+	int global_site;
 
 	Lexicographic::CoorFromIndex(coor,local_site,local_vol);
 
@@ -175,8 +175,8 @@ class BinaryIO {
 
 	Lexicographic::IndexFromCoor(coor,global_site,global_vol);
 
-	uint64_t gsite29   = global_site%29;
-	uint64_t gsite31   = global_site%31;
+	uint32_t gsite29   = global_site%29;
+	uint32_t gsite31   = global_site%31;
 	
 	site_crc = crc32(0,(unsigned char *)site_buf,sizeof(fobj));
 	//	std::cout << "Site "<<local_site << " crc "<<std::hex<<site_crc<<std::dec<<std::endl;
@@ -545,9 +545,7 @@ class BinaryIO {
 				       const std::string &format,
 				       uint32_t &nersc_csum,
 				       uint32_t &scidac_csuma,
-				       uint32_t &scidac_csumb,
-				       int control=BINARYIO_LEXICOGRAPHIC
-				       )
+				       uint32_t &scidac_csumb)
   {
     typedef typename vobj::scalar_object sobj;
     typedef typename vobj::Realified::scalar_type word;    word w=0;
@@ -558,7 +556,7 @@ class BinaryIO {
     std::vector<sobj> scalardata(lsites); 
     std::vector<fobj>     iodata(lsites); // Munge, checksum, byte order in here
     
-    IOobject(w,grid,iodata,file,offset,format,BINARYIO_READ|control,
+    IOobject(w,grid,iodata,file,offset,format,BINARYIO_READ|BINARYIO_LEXICOGRAPHIC,
 	     nersc_csum,scidac_csuma,scidac_csumb);
 
     GridStopWatch timer; 
@@ -584,8 +582,7 @@ class BinaryIO {
 					  const std::string &format,
 					  uint32_t &nersc_csum,
 					  uint32_t &scidac_csuma,
-					  uint32_t &scidac_csumb,
-					  int control=BINARYIO_LEXICOGRAPHIC)
+					  uint32_t &scidac_csumb)
   {
     typedef typename vobj::scalar_object sobj;
     typedef typename vobj::Realified::scalar_type word;    word w=0;
@@ -610,7 +607,7 @@ class BinaryIO {
     while (attemptsLeft >= 0)
     {
       grid->Barrier();
-      IOobject(w,grid,iodata,file,offset,format,BINARYIO_WRITE|control,
+      IOobject(w,grid,iodata,file,offset,format,BINARYIO_WRITE|BINARYIO_LEXICOGRAPHIC,
 	             nersc_csum,scidac_csuma,scidac_csumb);
       if (checkWrite)
       {
@@ -620,7 +617,7 @@ class BinaryIO {
 
         std::cout << GridLogMessage << "writeLatticeObject: read back object" << std::endl;
         grid->Barrier();
-        IOobject(w,grid,ckiodata,file,ckoffset,format,BINARYIO_READ|control,
+        IOobject(w,grid,ckiodata,file,ckoffset,format,BINARYIO_READ|BINARYIO_LEXICOGRAPHIC,
 	               cknersc_csum,ckscidac_csuma,ckscidac_csumb);
         if ((cknersc_csum != nersc_csum) or (ckscidac_csuma != scidac_csuma) or (ckscidac_csumb != scidac_csumb))
         {

Grid/parallelIO/IldgIO.h

@@ -206,7 +206,7 @@ class GridLimeReader : public BinaryIO {
   // Read a generic lattice field and verify checksum
   ////////////////////////////////////////////
   template<class vobj>
-  void readLimeLatticeBinaryObject(Lattice<vobj> &field,std::string record_name,int control=BINARYIO_LEXICOGRAPHIC)
+  void readLimeLatticeBinaryObject(Lattice<vobj> &field,std::string record_name)
   {
     typedef typename vobj::scalar_object sobj;
     scidacChecksum scidacChecksum_;
@@ -238,7 +238,7 @@ class GridLimeReader : public BinaryIO {
 	uint64_t offset= ftello(File);
 	//	std::cout << " ReadLatticeObject from offset "<<offset << std::endl;
 	BinarySimpleMunger<sobj,sobj> munge;
-	BinaryIO::readLatticeObject< vobj, sobj >(field, filename, munge, offset, format,nersc_csum,scidac_csuma,scidac_csumb,control);
+	BinaryIO::readLatticeObject< vobj, sobj >(field, filename, munge, offset, format,nersc_csum,scidac_csuma,scidac_csumb);
 	std::cout << GridLogMessage << "SciDAC checksum A " << std::hex << scidac_csuma << std::dec << std::endl;
 	std::cout << GridLogMessage << "SciDAC checksum B " << std::hex << scidac_csumb << std::dec << std::endl;
 	/////////////////////////////////////////////
@@ -408,7 +408,7 @@ class GridLimeWriter : public BinaryIO
   // in communicator used by the field.Grid()
   ////////////////////////////////////////////////////
   template<class vobj>
-  void writeLimeLatticeBinaryObject(Lattice<vobj> &field,std::string record_name,int control=BINARYIO_LEXICOGRAPHIC)
+  void writeLimeLatticeBinaryObject(Lattice<vobj> &field,std::string record_name)
   {
     ////////////////////////////////////////////////////////////////////
     // NB: FILE and iostream are jointly writing disjoint sequences in the
@@ -459,7 +459,7 @@ class GridLimeWriter : public BinaryIO
     ///////////////////////////////////////////
     std::string format = getFormatString<vobj>();
     BinarySimpleMunger<sobj,sobj> munge;
-    BinaryIO::writeLatticeObject<vobj,sobj>(field, filename, munge, offset1, format,nersc_csum,scidac_csuma,scidac_csumb,control);
+    BinaryIO::writeLatticeObject<vobj,sobj>(field, filename, munge, offset1, format,nersc_csum,scidac_csuma,scidac_csumb);
 
     ///////////////////////////////////////////
     // Wind forward and close the record
@@ -512,8 +512,7 @@ class ScidacWriter : public GridLimeWriter {
   ////////////////////////////////////////////////
   template <class vobj, class userRecord>
   void writeScidacFieldRecord(Lattice<vobj> &field,userRecord _userRecord,
-                              const unsigned int recordScientificPrec = 0,
-			      int control=BINARYIO_LEXICOGRAPHIC)
+                              const unsigned int recordScientificPrec = 0) 
   {
     GridBase * grid = field.Grid();
 
@@ -535,7 +534,7 @@ class ScidacWriter : public GridLimeWriter {
       writeLimeObject(0,0,_scidacRecord,_scidacRecord.SerialisableClassName(),std::string(SCIDAC_PRIVATE_RECORD_XML));
     }
     // Collective call
-    writeLimeLatticeBinaryObject(field,std::string(ILDG_BINARY_DATA),control);      // Closes message with checksum
+    writeLimeLatticeBinaryObject(field,std::string(ILDG_BINARY_DATA));      // Closes message with checksum
   }
 };
 
@@ -554,8 +553,7 @@ class ScidacReader : public GridLimeReader {
   // Write generic lattice field in scidac format
   ////////////////////////////////////////////////
   template <class vobj, class userRecord>
-  void readScidacFieldRecord(Lattice<vobj> &field,userRecord &_userRecord,
-			     int control=BINARYIO_LEXICOGRAPHIC) 
+  void readScidacFieldRecord(Lattice<vobj> &field,userRecord &_userRecord) 
   {
     typedef typename vobj::scalar_object sobj;
     GridBase * grid = field.Grid();
@@ -573,7 +571,7 @@ class ScidacReader : public GridLimeReader {
     readLimeObject(header ,std::string("FieldMetaData"),std::string(GRID_FORMAT)); // Open message 
     readLimeObject(_userRecord,_userRecord.SerialisableClassName(),std::string(SCIDAC_RECORD_XML));
     readLimeObject(_scidacRecord,_scidacRecord.SerialisableClassName(),std::string(SCIDAC_PRIVATE_RECORD_XML));
-    readLimeLatticeBinaryObject(field,std::string(ILDG_BINARY_DATA),control);
+    readLimeLatticeBinaryObject(field,std::string(ILDG_BINARY_DATA));
   }
   void skipPastBinaryRecord(void) {
     std::string rec_name(ILDG_BINARY_DATA);

Grid/perfmon/Tracing.h

@@ -34,7 +34,7 @@ class GridTracer {
 };
 inline void tracePush(const char *name) { roctxRangePushA(name); }
 inline void tracePop(const char *name) { roctxRangePop(); }
-inline int  traceStart(const char *name) { roctxRangeStart(name); }
+inline int  traceStart(const char *name) { return roctxRangeStart(name); }
 inline void traceStop(int ID) { roctxRangeStop(ID); }
 #endif
 

Grid/qcd/action/ActionBase.h

@@ -129,6 +129,22 @@ public:
   virtual ~Action(){}
 };
 
+template <class GaugeField >
+class EmptyAction : public Action <GaugeField>
+{
+  virtual void refresh(const GaugeField& U, GridSerialRNG &sRNG, GridParallelRNG& pRNG) { assert(0);}; // refresh pseudofermions
+  virtual RealD S(const GaugeField& U) { return 0.0;};                             // evaluate the action
+  virtual void deriv(const GaugeField& U, GaugeField& dSdU) { assert(0); };        // evaluate the action derivative
+
+  ///////////////////////////////
+  // Logging
+  ///////////////////////////////
+  virtual std::string action_name()    { return std::string("Level Force Log"); };
+  virtual std::string LogParameters()  { return std::string("No parameters");};
+};
+
+
+
 NAMESPACE_END(Grid);
 
 #endif // ACTION_BASE_H

Grid/qcd/action/fermion/WilsonTMFermion.h

@@ -63,6 +63,8 @@ public:
   virtual void MooeeDag(const FermionField &in, FermionField &out) ;
   virtual void MooeeInv(const FermionField &in, FermionField &out) ;
   virtual void MooeeInvDag(const FermionField &in, FermionField &out) ;
+  virtual void M(const FermionField &in, FermionField &out) ;
+  virtual void Mdag(const FermionField &in, FermionField &out) ;
   
 private:
   RealD mu; // TwistedMass parameter

Grid/qcd/action/fermion/implementation/StaggeredKernelsImplementation.h

@@ -280,20 +280,16 @@ void StaggeredKernels<Impl>::DhopImproved(StencilImpl &st, LebesgueOrder &lo,
 
   if( interior && exterior ) { 
     if (Opt == OptGeneric    ) { KERNEL_CALL(DhopSiteGeneric,1); return;}
-#ifndef GRID_CUDA
     if (Opt == OptHandUnroll ) { KERNEL_CALL(DhopSiteHand,1);    return;}
+#ifndef GRID_CUDA
     if (Opt == OptInlineAsm  ) {  ASM_CALL(DhopSiteAsm);     return;}
 #endif
   } else if( interior ) {
     if (Opt == OptGeneric    ) { KERNEL_CALL(DhopSiteGenericInt,1); return;}
-#ifndef GRID_CUDA
     if (Opt == OptHandUnroll ) { KERNEL_CALL(DhopSiteHandInt,1);    return;}
-#endif
   } else if( exterior ) { 
     if (Opt == OptGeneric    ) { KERNEL_CALL(DhopSiteGenericExt,1); return;}
-#ifndef GRID_CUDA
     if (Opt == OptHandUnroll ) { KERNEL_CALL(DhopSiteHandExt,1);    return;}
-#endif
   }
   assert(0 && " Kernel optimisation case not covered ");
 }
@@ -322,19 +318,13 @@ void StaggeredKernels<Impl>::DhopNaive(StencilImpl &st, LebesgueOrder &lo,
   
   if( interior && exterior ) { 
     if (Opt == OptGeneric    ) { KERNEL_CALL(DhopSiteGeneric,0); return;}
-#ifndef GRID_CUDA
     if (Opt == OptHandUnroll ) { KERNEL_CALL(DhopSiteHand,0);    return;}
-#endif
   } else if( interior ) {
     if (Opt == OptGeneric    ) { KERNEL_CALL(DhopSiteGenericInt,0); return;}
-#ifndef GRID_CUDA
     if (Opt == OptHandUnroll ) { KERNEL_CALL(DhopSiteHandInt,0);    return;}
-#endif
   } else if( exterior ) { 
     if (Opt == OptGeneric    ) { KERNEL_CALL(DhopSiteGenericExt,0); return;}
-#ifndef GRID_CUDA
     if (Opt == OptHandUnroll ) { KERNEL_CALL(DhopSiteHandExt,0);    return;}
-#endif
   }
 }
 

Grid/qcd/action/fermion/implementation/WilsonTMFermionImplementation.h

@@ -93,5 +93,25 @@ void WilsonTMFermion<Impl>::MooeeInvDag(const FermionField &in, FermionField &ou
   RealD b    = tm /sq;
   axpibg5x(out,in,a,b);
 }
+template<class Impl>
+void WilsonTMFermion<Impl>::M(const FermionField &in, FermionField &out) {
+  out.Checkerboard() = in.Checkerboard();
+  this->Dhop(in, out, DaggerNo);
+  FermionField tmp(out.Grid());
+  RealD a = 4.0+this->mass;
+  RealD b = this->mu;
+  axpibg5x(tmp,in,a,b);
+  axpy(out, 1.0, tmp, out);
+}
+template<class Impl>
+void WilsonTMFermion<Impl>::Mdag(const FermionField &in, FermionField &out) {
+  out.Checkerboard() = in.Checkerboard();
+  this->Dhop(in, out, DaggerYes);
+  FermionField tmp(out.Grid());
+  RealD a = 4.0+this->mass;
+  RealD b = -this->mu;
+  axpibg5x(tmp,in,a,b);
+  axpy(out, 1.0, tmp, out);
+}
 
 NAMESPACE_END(Grid);

Grid/qcd/hmc/integrators/Integrator.h

@@ -87,6 +87,8 @@ public:
 
   const ActionSet<Field, RepresentationPolicy> as;
 
+  ActionSet<Field,RepresentationPolicy> LevelForces;
+  
   //Get a pointer to a shared static instance of the "do-nothing" momentum filter to serve as a default
   static MomentumFilterBase<MomentaField> const* getDefaultMomFilter(){ 
     static MomentumFilterNone<MomentaField> filter;
@@ -124,6 +126,9 @@ public:
     // input U actually not used in the fundamental case
     // Fundamental updates, include smearing
 
+    assert(as.size()==LevelForces.size());
+    
+    Field level_force(U.Grid()); level_force =Zero();
     for (int a = 0; a < as[level].actions.size(); ++a) {
 
       double start_full = usecond();
@@ -145,6 +150,9 @@ public:
 
       std::cout << GridLogIntegrator << " update_P : Level [" << level <<"]["<<a <<"] "<<name<<" dt "<<ep<<  std::endl;
 
+      // track the total
+      level_force = level_force+force;
+
       Real force_abs   = std::sqrt(norm2(force)/U.Grid()->gSites()); //average per-site norm.  nb. norm2(latt) = \sum_x norm2(latt[x]) 
       Real impulse_abs = force_abs * ep * HMC_MOMENTUM_DENOMINATOR;    
 
@@ -167,6 +175,16 @@ public:
 
     }
 
+    {
+      // total force
+      Real force_abs   = std::sqrt(norm2(level_force)/U.Grid()->gSites()); //average per-site norm.  nb. norm2(latt) = \sum_x norm2(latt[x]) 
+      Real impulse_abs = force_abs * ep * HMC_MOMENTUM_DENOMINATOR;    
+
+      Real force_max   = std::sqrt(maxLocalNorm2(level_force));
+      Real impulse_max = force_max * ep * HMC_MOMENTUM_DENOMINATOR;    
+      LevelForces[level].actions.at(0)->deriv_log(force_abs,force_max,impulse_abs,impulse_max);
+    }
+
     // Force from the other representations
     as[level].apply(update_P_hireps, Representations, Mom, U, ep);
 
@@ -216,6 +234,16 @@ public:
 
     //Default the momentum filter to "do-nothing"
     MomFilter = getDefaultMomFilter();
+
+    for (int level = 0; level < as.size(); ++level) {
+      int multiplier = as.at(level).multiplier;
+      ActionLevel<Field, RepresentationPolicy> * Level = new ActionLevel<Field, RepresentationPolicy>(multiplier);
+      Level->push_back(new EmptyAction<Field>); 
+      LevelForces.push_back(*Level);
+      // does it copy by value or reference??
+      // - answer it copies by value, BUT the action level contains a reference that is NOT updated.
+      // Unsafe code in Guido's area
+    }
   };
 
   virtual ~Integrator() {}
@@ -233,10 +261,14 @@ public:
 
   void reset_timer(void)
   {
+    assert(as.size()==LevelForces.size());
     for (int level = 0; level < as.size(); ++level) {
       for (int actionID = 0; actionID < as[level].actions.size(); ++actionID) {
         as[level].actions.at(actionID)->reset_timer();
       }
+      int actionID=0;
+      assert(LevelForces.at(level).actions.size()==1);
+      LevelForces.at(level).actions.at(actionID)->reset_timer();
     }
   }
   void print_timer(void)
@@ -298,6 +330,16 @@ public:
 		  <<" calls "     << as[level].actions.at(actionID)->deriv_num
 		  << std::endl;
       }
+      int actionID=0;
+      std::cout << GridLogMessage 
+		  << LevelForces[level].actions.at(actionID)->action_name()
+		  <<"["<<level<<"]["<< actionID<<"] :\n\t\t "
+		  <<" force max " << LevelForces[level].actions.at(actionID)->deriv_max_average()
+		  <<" norm "      << LevelForces[level].actions.at(actionID)->deriv_norm_average()
+		  <<" Fdt max  "  << LevelForces[level].actions.at(actionID)->Fdt_max_average()
+		  <<" Fdt norm "  << LevelForces[level].actions.at(actionID)->Fdt_norm_average()
+		  <<" calls "     << LevelForces[level].actions.at(actionID)->deriv_num
+		  << std::endl;
     }
     std::cout << GridLogMessage << ":::::::::::::::::::::::::::::::::::::::::"<< std::endl;
   }
@@ -319,6 +361,13 @@ public:
 	std::cout << as[level].actions.at(actionID)->LogParameters();
       }
     }
+    std::cout << " [Integrator] Total Force loggers: "<< LevelForces.size() <<std::endl;
+    for (int level = 0; level < LevelForces.size(); ++level) {
+      std::cout << GridLogMessage << "[Integrator] ---- Level: "<< level << std::endl;
+      for (int actionID = 0; actionID < LevelForces[level].actions.size(); ++actionID) {
+	std::cout << GridLogMessage << "["<< LevelForces[level].actions.at(actionID)->action_name() << "] ID: " << actionID << std::endl;
+      }
+    }
     std::cout << GridLogMessage << ":::::::::::::::::::::::::::::::::::::::::"<< std::endl;
   }
 
@@ -400,6 +449,7 @@ public:
   RealD S(Field& U) 
   {  // here also U not used
 
+    assert(as.size()==LevelForces.size());
     std::cout << GridLogIntegrator << "Integrator action\n";
 
     RealD H = - FieldImplementation::FieldSquareNorm(P)/HMC_MOMENTUM_DENOMINATOR; // - trace (P*P)/denom

Grid/qcd/smearing/GaugeConfigurationMasked.h

@@ -1,3 +1,4 @@
+
 /*!
   @file GaugeConfiguration.h
   @brief Declares the GaugeConfiguration class
@@ -6,6 +7,15 @@
 
 NAMESPACE_BEGIN(Grid);
 
+
+template<class T> void Dump(const Lattice<T> & lat,
+			    std::string s,
+			    Coordinate site = Coordinate({0,0,0,0}))
+{
+  typename T::scalar_object tmp;
+  peekSite(tmp,lat,site);
+  std::cout << " Dump "<<s<<" "<<tmp<<std::endl;
+}
 /*!
   @brief Smeared configuration masked container
   Modified for a multi-subset smearing (aka Luscher Flowed HMC)
@@ -28,6 +38,101 @@ private:
   typedef typename SU3Adjoint::LatticeAdjMatrix  AdjMatrixField;
   typedef typename SU3Adjoint::LatticeAdjVector  AdjVectorField;
 
+  void BaseSmearDerivative(GaugeField& SigmaTerm,
+			   const GaugeField& iLambda,
+			   const GaugeField& U,
+			   int mmu, RealD rho)
+  {
+    // Reference
+    // Morningstar, Peardon, Phys.Rev.D69,054501(2004)
+    // Equation 75
+    // Computing Sigma_mu, derivative of S[fat links] with respect to the thin links
+    // Output SigmaTerm
+
+    GridBase *grid = U.Grid();
+
+    WilsonLoops<Gimpl> WL;
+    GaugeLinkField staple(grid), u_tmp(grid);
+    GaugeLinkField iLambda_mu(grid), iLambda_nu(grid);
+    GaugeLinkField U_mu(grid), U_nu(grid);
+    GaugeLinkField sh_field(grid), temp_Sigma(grid);
+    Real rho_munu, rho_numu;
+
+    rho_munu = rho;
+    rho_numu = rho;
+    for(int mu = 0; mu < Nd; ++mu){
+      U_mu       = peekLorentz(      U, mu);
+      iLambda_mu = peekLorentz(iLambda, mu);
+
+      for(int nu = 0; nu < Nd; ++nu){
+	if(nu==mu) continue;
+
+	U_nu       = peekLorentz(      U, nu);
+
+	// Nd(nd-1) = 12 staples normally.
+	// We must compute 6 of these
+	// in FTHMC case
+	if ( (mu==mmu)||(nu==mmu) )
+	  WL.StapleUpper(staple, U, mu, nu);
+	
+	if(nu==mmu) {
+	  iLambda_nu = peekLorentz(iLambda, nu);
+
+	  temp_Sigma = -rho_numu*staple*iLambda_nu;  //ok
+	  //-r_numu*U_nu(x+mu)*Udag_mu(x+nu)*Udag_nu(x)*Lambda_nu(x)
+	  Gimpl::AddLink(SigmaTerm, temp_Sigma, mu);
+
+	  sh_field = Cshift(iLambda_nu, mu, 1);// general also for Gparity?
+
+	  temp_Sigma = rho_numu*sh_field*staple; //ok
+	  //r_numu*Lambda_nu(mu)*U_nu(x+mu)*Udag_mu(x+nu)*Udag_nu(x)
+	  Gimpl::AddLink(SigmaTerm, temp_Sigma, mu);
+	}
+
+	if ( mu == mmu ) { 
+	  sh_field = Cshift(iLambda_mu, nu, 1);
+
+	  temp_Sigma = -rho_munu*staple*U_nu*sh_field*adj(U_nu); //ok
+	  //-r_munu*U_nu(x+mu)*Udag_mu(x+nu)*Lambda_mu(x+nu)*Udag_nu(x)
+	  Gimpl::AddLink(SigmaTerm, temp_Sigma, mu);
+	}
+
+	//	staple = Zero();
+	sh_field = Cshift(U_nu, mu, 1);
+
+	temp_Sigma = Zero();
+
+	if ( mu == mmu )
+	  temp_Sigma = -rho_munu*adj(sh_field)*adj(U_mu)*iLambda_mu*U_nu;
+
+	if ( nu == mmu ) {
+	  temp_Sigma += rho_numu*adj(sh_field)*adj(U_mu)*iLambda_nu*U_nu;
+
+	  u_tmp = adj(U_nu)*iLambda_nu;
+	  sh_field = Cshift(u_tmp, mu, 1);
+	  temp_Sigma += -rho_numu*sh_field*adj(U_mu)*U_nu;
+	}
+	
+	sh_field = Cshift(temp_Sigma, nu, -1);
+	Gimpl::AddLink(SigmaTerm, sh_field, mu);
+
+      }
+    }
+  }
+  
+  void BaseSmear(GaugeLinkField& Cup, const GaugeField& U,int mu,RealD rho) {
+    GridBase *grid = U.Grid();
+    GaugeLinkField tmp_stpl(grid);
+    WilsonLoops<Gimpl> WL;
+    Cup = Zero();
+    for(int nu=0; nu<Nd; ++nu){
+      if (nu != mu) {
+	// get the staple in direction mu, nu
+	WL.Staple(tmp_stpl, U, mu, nu);  //nb staple conventions of IroIro and Grid differ by a dagger
+	Cup += adj(tmp_stpl*rho);
+      }
+    }
+  }
   // Adjoint vector to GaugeField force
   void InsertForce(GaugeField &Fdet,AdjVectorField &Fdet_nu,int nu)
   {
@@ -47,27 +152,54 @@ private:
     GaugeLinkField UtaU(PlaqL.Grid());
     GaugeLinkField D(PlaqL.Grid());
     AdjMatrixField Dbc(PlaqL.Grid());
+    AdjMatrixField Dbc_opt(PlaqL.Grid());
     LatticeComplex tmp(PlaqL.Grid());
     const int Ngen = SU3Adjoint::Dimension;
     Complex ci(0,1);
     ColourMatrix   ta,tb,tc;
-    
+    RealD t=0;
+    RealD tp=0;
+    RealD tta=0;
+    RealD tpk=0;
+    t-=usecond();
     for(int a=0;a<Ngen;a++) {
+      tta-=usecond();
       SU3::generator(a, ta);
+      ta = 2.0 * ci * ta;
       // Qlat Tb = 2i Tb^Grid
-      UtaU= 2.0*ci*adj(PlaqL)*ta*PlaqR;
+      UtaU= adj(PlaqL)*ta*PlaqR; // 6ms
+      tta+=usecond();
+      ////////////////////////////////////////////
+      // Could add this entire C-loop to a projection routine
+      // for performance. Could also pick checkerboard on UtaU
+      // and set checkerboard on result for 2x perf
+      ////////////////////////////////////////////
       for(int c=0;c<Ngen;c++) {
 	SU3::generator(c, tc);
-	D = Ta( (2.0)*ci*tc *UtaU);
+	tc = 2.0*ci*tc;
+	tp-=usecond(); 
+	D = Ta( tc *UtaU); // 2ms
+#if 1
+	SU3::LieAlgebraProject(Dbc_opt,D,c); // 5.5ms
+#else
 	for(int b=0;b<Ngen;b++){
 	  SU3::generator(b, tb);
 	  tmp =-trace(ci*tb*D); 
 	  PokeIndex<ColourIndex>(Dbc,tmp,b,c);  // Adjoint rep
 	}
+#endif
+	tp+=usecond();
       }
-      tmp = trace(MpInvJx * Dbc);
+      //      Dump(Dbc_opt,"Dbc_opt");
+      //      Dump(Dbc,"Dbc");
+      tpk-=usecond();
+      tmp = trace(MpInvJx * Dbc_opt);
       PokeIndex<ColourIndex>(Fdet2,tmp,a);
+      tpk+=usecond();
     }
+    t+=usecond();
+    std::cout << GridLogPerformance << " Compute_MpInvJx_dNxxdSy " << t/1e3 << " ms  proj "<<tp/1e3<< " ms"
+	      << " ta "<<tta/1e3<<" ms" << " poke "<<tpk/1e3<< " ms"<<std::endl;
   }
   
   void ComputeNxy(const GaugeLinkField &PlaqL,const GaugeLinkField &PlaqR,AdjMatrixField &NxAd)
@@ -79,12 +211,17 @@ private:
     ColourMatrix   tc;
     for(int b=0;b<Ngen;b++) {
       SU3::generator(b, tb);
-      Nx = (2.0)*Ta( adj(PlaqL)*ci*tb * PlaqR );
+      tb = 2.0 * ci * tb;
+      Nx = Ta( adj(PlaqL)*tb * PlaqR );
+#if 1
+      SU3::LieAlgebraProject(NxAd,Nx,b);
+#else
       for(int c=0;c<Ngen;c++) {
 	SU3::generator(c, tc);
 	auto tmp =closure( -trace(ci*tc*Nx)); 
 	PokeIndex<ColourIndex>(NxAd,tmp,c,b); 
       }
+#endif
     }
   }
   void ApplyMask(GaugeField &U,int smr)
@@ -164,8 +301,7 @@ public:
     // Computes ALL the staples -- could compute one only and do it here
     RealD time;
     time=-usecond();
-    this->StoutSmearing->BaseSmear(C, U);
-    Cmu = peekLorentz(C, mu);
+    BaseSmear(Cmu, U,mu,rho);
 
     //////////////////////////////////////////////////////////////////
     // Assemble Luscher exp diff map J matrix 
@@ -209,6 +345,36 @@ public:
     // dJ(x)/dxe
     //////////////////////////////////////
     time=-usecond();
+#if 1
+    std::vector<AdjMatrixField>  dJdX;    dJdX.resize(8,grid);
+    std::vector<AdjMatrix> TRb_s; TRb_s.resize(8);
+    AdjMatrixField tbXn(grid);
+    AdjMatrixField sumXtbX(grid);
+    AdjMatrixField t2(grid);
+    AdjMatrixField dt2(grid);
+    AdjMatrixField t3(grid);
+    AdjMatrixField dt3(grid);
+    AdjMatrixField aunit(grid);
+
+    for(int b=0;b<8;b++){
+      SU3Adjoint::generator(b, TRb_s[b]);
+      dJdX[b] = TRb_s[b];
+    }
+    aunit = ComplexD(1.0);
+    // Could put into an accelerator_for
+    X  = (-1.0)*ZxAd; 
+    t2 = X;
+    for (int j = 12; j > 1; --j) {
+      t3  = t2*(1.0 / (j + 1))  + aunit;
+      t2  = X * t3;
+      for(int b=0;b<8;b++){
+	dJdX[b]= TRb_s[b] * t3 + X * dJdX[b]*(1.0 / (j + 1));
+      }
+    }
+    for(int b=0;b<8;b++){
+      dJdX[b] = -dJdX[b];
+    }
+#else
     std::vector<AdjMatrixField>  dJdX;    dJdX.resize(8,grid);
     AdjMatrixField tbXn(grid);
     AdjMatrixField sumXtbX(grid);
@@ -224,7 +390,7 @@ public:
       X  = (-1.0)*ZxAd; 
       t2 = X;
       dt2 = TRb;
-      for (int j = 20; j > 1; --j) {
+      for (int j = 12; j > 1; --j) {
 	t3  = t2*(1.0 / (j + 1))  + aunit;
 	dt3 = dt2*(1.0 / (j + 1));
 	t2 = X * t3;
@@ -232,6 +398,7 @@ public:
       }
       dJdX[b] = -dt2; 
     }
+#endif  
     time+=usecond();
     std::cout << GridLogMessage << "dJx took "<<time<< " us"<<std::endl;
     /////////////////////////////////////////////////////////////////
@@ -281,8 +448,8 @@ public:
     
     for(int e =0 ; e<8 ; e++){
       LatticeComplexD tr(grid);
-      ColourMatrix te;
-      SU3::generator(e, te);
+      //      ColourMatrix te;
+      //      SU3::generator(e, te);
       tr = trace(dJdX[e] * nMpInv);
       pokeColour(dJdXe_nMpInv,tr,e);
     }
@@ -493,20 +660,25 @@ public:
     //////////////////////////////////////////////////////////////////
     // Assemble the N matrix
     //////////////////////////////////////////////////////////////////
-    // Computes ALL the staples -- could compute one only here
-    this->StoutSmearing->BaseSmear(C, U);
-    Cmu = peekLorentz(C, mu);
+    double rho=this->StoutSmearing->SmearRho[1];
+    BaseSmear(Cmu, U,mu,rho);
+
     Umu = peekLorentz(U, mu);
     Complex ci(0,1);
     for(int b=0;b<Ngen;b++) {
       SU3::generator(b, Tb);
       // Qlat Tb = 2i Tb^Grid
       Nb = (2.0)*Ta( ci*Tb * Umu * adj(Cmu));
+      // FIXME -- replace this with LieAlgebraProject
+#if 0
+      SU3::LieAlgebraProject(Ncb,tmp,b);
+#else
       for(int c=0;c<Ngen;c++) {
 	SU3::generator(c, Tc);
 	auto tmp = -trace(ci*Tc*Nb); // Luchang's norm: (2Tc) (2Td) N^db = -2 delta cd N^db // - was important
 	PokeIndex<ColourIndex>(Ncb,tmp,c,b); 
       }
+#endif
     }      
 
     //////////////////////////////////////////////////////////////////
@@ -693,7 +865,7 @@ private:
 					  const GaugeField& GaugeK,int level) 
   {
     GridBase* grid = GaugeK.Grid();
-    GaugeField C(grid), SigmaK(grid), iLambda(grid);
+    GaugeField SigmaK(grid), iLambda(grid);
     GaugeField SigmaKPrimeA(grid);
     GaugeField SigmaKPrimeB(grid);
     GaugeLinkField iLambda_mu(grid);
@@ -701,7 +873,11 @@ private:
     GaugeLinkField SigmaKPrime_mu(grid);
     GaugeLinkField GaugeKmu(grid), Cmu(grid);
 
-    this->StoutSmearing->BaseSmear(C, GaugeK);
+    int mmu= (level/2) %Nd;
+    int cb= (level%2);
+    double rho=this->StoutSmearing->SmearRho[1];
+
+    // Can override this to do one direction only.
     SigmaK = Zero();
     iLambda = Zero();
 
@@ -712,18 +888,38 @@ private:
     // Could get away with computing only one polarisation here
     // int mu= (smr/2) %Nd;
     // SigmaKprime_A has only one component
-    for (int mu = 0; mu < Nd; mu++)
-    {
-      Cmu = peekLorentz(C, mu);
+#if 0
+    BaseSmear(Cmu, GaugeK,mu,rho);
     GaugeKmu = peekLorentz(GaugeK, mu);
     SigmaKPrime_mu = peekLorentz(SigmaKPrimeA, mu);
     iQ = Ta(Cmu * adj(GaugeKmu));
     this->set_iLambda(iLambda_mu, e_iQ, iQ, SigmaKPrime_mu, GaugeKmu);
     pokeLorentz(SigmaK, SigmaKPrime_mu * e_iQ + adj(Cmu) * iLambda_mu, mu);
     pokeLorentz(iLambda, iLambda_mu, mu);
+    BaseSmearDerivative(SigmaK, iLambda,GaugeK,mu,rho);  // derivative of SmearBase
+#else
+    //    GaugeField C(grid);
+    //    this->StoutSmearing->BaseSmear(C, GaugeK);
+    //    for (int mu = 0; mu < Nd; mu++)
+    int mu =mmu;
+    BaseSmear(Cmu, GaugeK,mu,rho);
+    {
+      // Cmu = peekLorentz(C, mu);
+      GaugeKmu = peekLorentz(GaugeK, mu);
+      SigmaKPrime_mu = peekLorentz(SigmaKPrimeA, mu);
+      iQ = Ta(Cmu * adj(GaugeKmu));
+      this->set_iLambda(iLambda_mu, e_iQ, iQ, SigmaKPrime_mu, GaugeKmu);
+      pokeLorentz(SigmaK, SigmaKPrime_mu * e_iQ + adj(Cmu) * iLambda_mu, mu);
+      pokeLorentz(iLambda, iLambda_mu, mu);
+      std::cout << " mu "<<mu<<" SigmaKPrime_mu"<<norm2(SigmaKPrime_mu)<< " iLambda_mu " <<norm2(iLambda_mu)<<std::endl;
     }
-    this->StoutSmearing->derivative(SigmaK, iLambda,GaugeK);  // derivative of SmearBase
-
+    //    GaugeField SigmaKcopy(grid);
+    //    SigmaKcopy = SigmaK;
+    BaseSmearDerivative(SigmaK, iLambda,GaugeK,mu,rho);  // derivative of SmearBase
+    //    this->StoutSmearing->derivative(SigmaK, iLambda,GaugeK);  // derivative of SmearBase
+    //    SigmaKcopy = SigmaKcopy - SigmaK;
+    //    std::cout << " BaseSmearDerivative fast path error" <<norm2(SigmaKcopy)<<std::endl;
+#endif
     ////////////////////////////////////////////////////////////////////////////////////
     // propagate the rest of the force as identity map, just add back
     ////////////////////////////////////////////////////////////////////////////////////

Grid/qcd/smearing/HISQSmearing.h

@@ -0,0 +1,389 @@
+/*************************************************************************************
+
+Grid physics library, www.github.com/paboyle/Grid
+
+Source file: ./lib/qcd/smearing/HISQSmearing.h
+
+Copyright (C) 2023
+
+Author: D. A. Clarke <clarke.davida@gmail.com> 
+
+This program is free software; you can redistribute it and/or modify
+it under the terms of the GNU General Public License as published by
+the Free Software Foundation; either version 2 of the License, or
+(at your option) any later version.
+
+This program is distributed in the hope that it will be useful,
+but WITHOUT ANY WARRANTY; without even the implied warranty of
+MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+GNU General Public License for more details.
+
+You should have received a copy of the GNU General Public License along
+with this program; if not, write to the Free Software Foundation, Inc.,
+51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
+
+See the full license in the file "LICENSE" in the top level distribution
+directory
+*************************************************************************************/
+/*
+    @file HISQSmearing.h
+    @brief Declares classes related to HISQ smearing 
+*/
+
+
+#pragma once
+#include <Grid/Grid.h>
+#include <Grid/lattice/PaddedCell.h>
+#include <Grid/stencil/GeneralLocalStencil.h>
+
+
+NAMESPACE_BEGIN(Grid);
+
+
+// TODO: find a way to fold this into the stencil header. need to access grid to get
+// Nd, since you don't want to inherit from QCD.h
+/*!  @brief append arbitrary shift path to shifts */
+template<typename... Args>
+void appendShift(std::vector<Coordinate>& shifts, int dir, Args... args) {
+    Coordinate shift(Nd,0);
+    generalShift(shift, dir, args...); 
+    // push_back creates an element at the end of shifts and
+    // assigns the data in the argument to it.
+    shifts.push_back(shift);
+}
+
+
+/*!  @brief figure out the stencil index from mu and nu */
+accelerator_inline int stencilIndex(int mu, int nu) {
+    // Nshifts depends on how you built the stencil
+    int Nshifts = 6;
+    return Nshifts*nu + Nd*Nshifts*mu;
+}
+
+
+/*!  @brief structure holding the link treatment */
+struct SmearingParameters{
+    SmearingParameters(){}
+    Real c_1;               // 1 link
+    Real c_naik;            // Naik term
+    Real c_3;               // 3 link
+    Real c_5;               // 5 link
+    Real c_7;               // 7 link
+    Real c_lp;              // 5 link Lepage
+    SmearingParameters(Real c1, Real cnaik, Real c3, Real c5, Real c7, Real clp) 
+        : c_1(c1),
+          c_naik(cnaik),
+          c_3(c3),
+          c_5(c5),
+          c_7(c7),
+          c_lp(clp){}
+};
+
+
+/*!  @brief create fat links from link variables */
+template<class Gimpl> 
+class Smear_HISQ : public Gimpl {
+
+private:
+    GridCartesian* const _grid;
+    SmearingParameters _linkTreatment;
+
+public:
+
+    INHERIT_GIMPL_TYPES(Gimpl);
+    typedef typename Gimpl::GaugeField     GF;
+    typedef typename Gimpl::GaugeLinkField LF;
+    typedef typename Gimpl::ComplexField   CF;
+
+    // Don't allow default values here.
+    Smear_HISQ(GridCartesian* grid, Real c1, Real cnaik, Real c3, Real c5, Real c7, Real clp) 
+        : _grid(grid), 
+          _linkTreatment(c1,cnaik,c3,c5,c7,clp) {
+        assert(Nc == 3 && "HISQ smearing currently implemented only for Nc==3");
+        assert(Nd == 4 && "HISQ smearing only defined for Nd==4");
+    }
+
+    // Allow to pass a pointer to a C-style, double array for MILC convenience
+    Smear_HISQ(GridCartesian* grid, double* coeff) 
+        : _grid(grid), 
+          _linkTreatment(coeff[0],coeff[1],coeff[2],coeff[3],coeff[4],coeff[5]) {
+        assert(Nc == 3 && "HISQ smearing currently implemented only for Nc==3");
+        assert(Nd == 4 && "HISQ smearing only defined for Nd==4");
+    }
+
+    ~Smear_HISQ() {}
+
+    // Intent: OUT--u_smr, u_naik
+    //          IN--u_thin
+    void smear(GF& u_smr, GF& u_naik, GF& u_thin) const {
+
+        SmearingParameters lt = this->_linkTreatment;
+        auto grid = this->_grid;
+
+        // Create a padded cell of extra padding depth=1 and fill the padding.
+        int depth = 1;
+        PaddedCell Ghost(depth,grid);
+        GF Ughost = Ghost.Exchange(u_thin);
+
+        // This is where auxiliary N-link fields and the final smear will be stored. 
+        GF Ughost_fat(Ughost.Grid());
+        GF Ughost_3link(Ughost.Grid());
+        GF Ughost_5linkA(Ughost.Grid());
+        GF Ughost_5linkB(Ughost.Grid());
+
+        // mu-nu plane stencil. We allow mu==nu to make indexing the stencil easier,
+        // but these entries will not be used. 
+        std::vector<Coordinate> shifts;
+        for(int mu=0;mu<Nd;mu++)
+        for(int nu=0;nu<Nd;nu++) {
+            appendShift(shifts,mu);
+            appendShift(shifts,nu);
+            appendShift(shifts,shiftSignal::NO_SHIFT);
+            appendShift(shifts,mu,Back(nu));
+            appendShift(shifts,Back(nu));
+            appendShift(shifts,Back(mu));
+        }
+
+        // A GeneralLocalStencil has two indices: a site and stencil index 
+        GeneralLocalStencil gStencil(Ughost.Grid(),shifts);
+
+        // This is where contributions from the smearing get added together
+        Ughost_fat=Zero();
+
+        // This loop handles 3-, 5-, and 7-link constructs, minus Lepage and Naik.
+        for(int mu=0;mu<Nd;mu++) {
+
+            // TODO: This approach is slightly memory inefficient. It uses 25% extra memory 
+            Ughost_3link =Zero();
+            Ughost_5linkA=Zero();
+            Ughost_5linkB=Zero();
+
+            // Create the accessors
+            autoView(U_v       , Ughost       , AcceleratorRead);
+            autoView(U_fat_v   , Ughost_fat   , AcceleratorWrite);
+            autoView(U_3link_v , Ughost_3link , AcceleratorWrite);
+            autoView(U_5linkA_v, Ughost_5linkA, AcceleratorWrite);
+            autoView(U_5linkB_v, Ughost_5linkB, AcceleratorWrite);
+
+            // We infer some types that will be needed in the calculation.
+            typedef decltype(gStencil.GetEntry(0,0)) stencilElement;
+            typedef decltype(coalescedReadGeneralPermute(U_v[0](0),gStencil.GetEntry(0,0)->_permute,Nd)) U3matrix;
+
+            int Nsites = U_v.size();
+            auto gStencil_v = gStencil.View(); 
+
+            accelerator_for(site,Nsites,Simd::Nsimd(),{ // ----------- 3-link constructs
+                stencilElement SE0, SE1, SE2, SE3, SE4, SE5;
+                U3matrix U0, U1, U2, U3, U4, U5, W;
+                for(int nu=0;nu<Nd;nu++) {
+                    if(nu==mu) continue;
+                    int s = stencilIndex(mu,nu);
+
+                    // The stencil gives us support points in the mu-nu plane that we will use to
+                    // grab the links we need.
+                    SE0 = gStencil_v.GetEntry(s+0,site); int x_p_mu      = SE0->_offset;
+                    SE1 = gStencil_v.GetEntry(s+1,site); int x_p_nu      = SE1->_offset;
+                    SE2 = gStencil_v.GetEntry(s+2,site); int x           = SE2->_offset;
+                    SE3 = gStencil_v.GetEntry(s+3,site); int x_p_mu_m_nu = SE3->_offset;
+                    SE4 = gStencil_v.GetEntry(s+4,site); int x_m_nu      = SE4->_offset;
+                    SE5 = gStencil_v.GetEntry(s+5,site); int x_m_mu      = SE5->_offset;
+
+                    // When you're deciding whether to take an adjoint, the question is: how is the
+                    // stored link oriented compared to the one you want? If I imagine myself travelling
+                    // with the to-be-updated link, I have two possible, alternative 3-link paths I can
+                    // take, one starting by going to the left, the other starting by going to the right.
+                    U0 = coalescedReadGeneralPermute(U_v[x_p_mu     ](nu),SE0->_permute,Nd);
+                    U1 = coalescedReadGeneralPermute(U_v[x_p_nu     ](mu),SE1->_permute,Nd);
+                    U2 = coalescedReadGeneralPermute(U_v[x          ](nu),SE2->_permute,Nd);
+                    U3 = coalescedReadGeneralPermute(U_v[x_p_mu_m_nu](nu),SE3->_permute,Nd);
+                    U4 = coalescedReadGeneralPermute(U_v[x_m_nu     ](mu),SE4->_permute,Nd);
+                    U5 = coalescedReadGeneralPermute(U_v[x_m_nu     ](nu),SE4->_permute,Nd);
+
+                    //  "left"          "right"
+                    W = U2*U1*adj(U0) + adj(U5)*U4*U3;
+
+                    // Save 3-link construct for later and add to smeared field.
+                    coalescedWrite(U_3link_v[x](nu), W);
+
+                    // The index operator (x) returns the coalesced read on GPU. The view [] index returns 
+                    // a reference to the vector object. The [x](mu) returns a reference to the densely 
+                    // packed (contiguous in memory) mu-th element of the vector object. On CPU, 
+                    // coalescedRead/Write is the identity mapping assigning vector object to vector object.
+                    // But on GPU it's non-trivial and maps scalar object to vector object and vice versa.
+                    coalescedWrite(U_fat_v[x](mu), U_fat_v(x)(mu) + lt.c_3*W);
+                }
+            })
+
+            accelerator_for(site,Nsites,Simd::Nsimd(),{ // ----------- 5-link 
+                stencilElement SE0, SE1, SE2, SE3, SE4, SE5;
+                U3matrix U0, U1, U2, U3, U4, U5, W;
+                int sigmaIndex = 0;
+                for(int nu=0;nu<Nd;nu++) {
+                    if(nu==mu) continue;
+                    int s = stencilIndex(mu,nu);
+                    for(int rho=0;rho<Nd;rho++) {
+                        if (rho == mu || rho == nu) continue;
+
+                        SE0 = gStencil_v.GetEntry(s+0,site); int x_p_mu      = SE0->_offset;
+                        SE1 = gStencil_v.GetEntry(s+1,site); int x_p_nu      = SE1->_offset;
+                        SE2 = gStencil_v.GetEntry(s+2,site); int x           = SE2->_offset;
+                        SE3 = gStencil_v.GetEntry(s+3,site); int x_p_mu_m_nu = SE3->_offset;
+                        SE4 = gStencil_v.GetEntry(s+4,site); int x_m_nu      = SE4->_offset;
+
+                        U0 = coalescedReadGeneralPermute(      U_v[x_p_mu     ](nu ),SE0->_permute,Nd);
+                        U1 = coalescedReadGeneralPermute(U_3link_v[x_p_nu     ](rho),SE1->_permute,Nd);
+                        U2 = coalescedReadGeneralPermute(      U_v[x          ](nu ),SE2->_permute,Nd);
+                        U3 = coalescedReadGeneralPermute(      U_v[x_p_mu_m_nu](nu ),SE3->_permute,Nd);
+                        U4 = coalescedReadGeneralPermute(U_3link_v[x_m_nu     ](rho),SE4->_permute,Nd);
+                        U5 = coalescedReadGeneralPermute(      U_v[x_m_nu     ](nu ),SE4->_permute,Nd);
+
+                        W  = U2*U1*adj(U0) + adj(U5)*U4*U3;
+
+                        if(sigmaIndex<3) {
+                            coalescedWrite(U_5linkA_v[x](rho), W);
+                        } else {
+                            coalescedWrite(U_5linkB_v[x](rho), W);
+                        }    
+
+                        coalescedWrite(U_fat_v[x](mu), U_fat_v(x)(mu) + lt.c_5*W);
+                        sigmaIndex++;
+                    }
+                }
+            })
+
+            accelerator_for(site,Nsites,Simd::Nsimd(),{ // ----------- 7-link
+                stencilElement SE0, SE1, SE2, SE3, SE4, SE5;
+                U3matrix U0, U1, U2, U3, U4, U5, W;
+                int sigmaIndex = 0;
+                for(int nu=0;nu<Nd;nu++) {
+                    if(nu==mu) continue;
+                    int s = stencilIndex(mu,nu);
+                    for(int rho=0;rho<Nd;rho++) {
+                        if (rho == mu || rho == nu) continue;
+
+                        SE0 = gStencil_v.GetEntry(s+0,site); int x_p_mu      = SE0->_offset;
+                        SE1 = gStencil_v.GetEntry(s+1,site); int x_p_nu      = SE1->_offset;
+                        SE2 = gStencil_v.GetEntry(s+2,site); int x           = SE2->_offset;
+                        SE3 = gStencil_v.GetEntry(s+3,site); int x_p_mu_m_nu = SE3->_offset;
+                        SE4 = gStencil_v.GetEntry(s+4,site); int x_m_nu      = SE4->_offset;
+
+                        U0 = coalescedReadGeneralPermute(U_v[x_p_mu](nu),SE0->_permute,Nd);
+                        if(sigmaIndex<3) {
+                            U1 = coalescedReadGeneralPermute(U_5linkB_v[x_p_nu](rho),SE1->_permute,Nd);
+                        } else {
+                            U1 = coalescedReadGeneralPermute(U_5linkA_v[x_p_nu](rho),SE1->_permute,Nd);
+                        }  
+                        U2 = coalescedReadGeneralPermute(U_v[x](nu),SE2->_permute,Nd);
+                        U3 = coalescedReadGeneralPermute(U_v[x_p_mu_m_nu](nu),SE3->_permute,Nd);
+                        if(sigmaIndex<3) {
+                            U4 = coalescedReadGeneralPermute(U_5linkB_v[x_m_nu](rho),SE4->_permute,Nd);
+                        } else {
+                            U4 = coalescedReadGeneralPermute(U_5linkA_v[x_m_nu](rho),SE4->_permute,Nd);
+                        }  
+                        U5 = coalescedReadGeneralPermute(U_v[x_m_nu](nu),SE4->_permute,Nd);
+
+                        W  = U2*U1*adj(U0) + adj(U5)*U4*U3;
+
+                        coalescedWrite(U_fat_v[x](mu), U_fat_v(x)(mu) + lt.c_7*W);
+                        sigmaIndex++;
+                    }
+                }
+            })
+
+        } // end mu loop
+
+        // c1, c3, c5, c7 construct contributions
+        u_smr = Ghost.Extract(Ughost_fat) + lt.c_1*u_thin;
+
+        // Load up U and V std::vectors to access thin and smeared links.
+        std::vector<LF> U(Nd, grid);
+        std::vector<LF> V(Nd, grid);
+        std::vector<LF> Vnaik(Nd, grid);
+        for (int mu = 0; mu < Nd; mu++) {
+            U[mu] = PeekIndex<LorentzIndex>(u_thin, mu);
+            V[mu] = PeekIndex<LorentzIndex>(u_smr, mu);
+        }
+
+        for(int mu=0;mu<Nd;mu++) {
+
+            // Naik
+            Vnaik[mu] = lt.c_naik*Gimpl::CovShiftForward(U[mu],mu,
+                                    Gimpl::CovShiftForward(U[mu],mu,
+                                      Gimpl::CovShiftIdentityForward(U[mu],mu)));
+
+            // LePage
+            for (int nu_h=1;nu_h<Nd;nu_h++) {
+                int nu=(mu+nu_h)%Nd;
+                                // nu, nu, mu, Back(nu), Back(nu)
+                V[mu] = V[mu] + lt.c_lp*Gimpl::CovShiftForward(U[nu],nu,
+                                          Gimpl::CovShiftForward(U[nu],nu,
+                                            Gimpl::CovShiftForward(U[mu],mu,
+                                              Gimpl::CovShiftBackward(U[nu],nu,
+                                                Gimpl::CovShiftIdentityBackward(U[nu],nu)))))
+                                // Back(nu), Back(nu), mu, nu, nu
+                              + lt.c_lp*Gimpl::CovShiftBackward(U[nu],nu,
+                                          Gimpl::CovShiftBackward(U[nu],nu,
+                                            Gimpl::CovShiftForward(U[mu],mu,
+                                              Gimpl::CovShiftForward(U[nu],nu,
+                                                Gimpl::CovShiftIdentityForward(U[nu],nu)))));
+            }
+        }
+
+        // Put V back into u_smr.
+        for (int mu = 0; mu < Nd; mu++) {
+            PokeIndex<LorentzIndex>(u_smr , V[mu]    , mu);
+            PokeIndex<LorentzIndex>(u_naik, Vnaik[mu], mu);
+        }
+    };
+
+
+    // Intent: OUT--u_proj
+    //          IN--u_mu
+    void projectU3(GF& u_proj, GF& u_mu) const {
+
+        auto grid = this->_grid;
+
+        LF V(grid), Q(grid), sqrtQinv(grid), id_3(grid), diff(grid);
+        CF c0(grid), c1(grid), c2(grid), g0(grid), g1(grid), g2(grid), S(grid), R(grid), theta(grid), 
+           u(grid), v(grid), w(grid), den(grid), f0(grid), f1(grid), f2(grid);
+
+        // Follow MILC 10.1103/PhysRevD.82.074501, eqs (B2-B3) and (C1-C8)
+        for (int mu = 0; mu < Nd; mu++) {
+            V  = PeekIndex<LorentzIndex>(u_mu, mu);
+            Q  = adj(V)*V;
+            c0 =        real(trace(Q));
+            c1 = (1/2.)*real(trace(Q*Q));
+            c2 = (1/3.)*real(trace(Q*Q*Q));
+            S  = (1/3.)*c1-(1/18.)*c0*c0;
+            if (norm2(S)<1e-28) {
+                g0 = (1/3.)*c0; g1 = g0; g2 = g1;
+            } else {
+                R     = (1/2.)*c2-(1/3. )*c0*c1+(1/27.)*c0*c0*c0;
+                theta = acos(R*pow(S,-1.5));
+                g0    = (1/3.)*c0+2.*sqrt(S)*cos((1/3.)*theta-2*M_PI/3.);
+                g1    = (1/3.)*c0+2.*sqrt(S)*cos((1/3.)*theta          );
+                g2    = (1/3.)*c0+2.*sqrt(S)*cos((1/3.)*theta+2*M_PI/3.);
+            }
+//            if (fabs(Q.determinant()/(g0*g1*g2)-1.0) > 1e-5) { SVD }
+            u     = sqrt(g0) + sqrt(g1) + sqrt(g2);
+            v     = sqrt(g0*g1) + sqrt(g0*g2) + sqrt(g1*g2);
+            w     = sqrt(g0*g1*g2);
+            den   = w*(u*v-w);
+            f0    = (-w*(u*u+v)+u*v*v)/den;
+            f1    = (-w-u*u*u+2.*u*v)/den;
+            f2    = u/den;
+            id_3  = 1.;
+
+            sqrtQinv = f0*id_3 + f1*Q + f2*Q*Q;
+
+            PokeIndex<LorentzIndex>(u_proj, V*sqrtQinv, mu);
+        }
+    };
+
+
+//    void derivative(const GaugeField& Gauge) const {
+//    };
+};
+
+
+NAMESPACE_END(Grid);

Grid/qcd/smearing/Smearing.h

@@ -5,4 +5,5 @@
 #include <Grid/qcd/smearing/StoutSmearing.h>
 #include <Grid/qcd/smearing/GaugeConfiguration.h>
 #include <Grid/qcd/smearing/WilsonFlow.h>
+#include <Grid/qcd/smearing/HISQSmearing.h>
 

Grid/qcd/smearing/StoutSmearing.h

@@ -69,7 +69,7 @@ public:
   /*! Construct stout smearing object from explicitly specified rho matrix */
   Smear_Stout(const std::vector<double>& rho_)
     : OwnedBase{new Smear_APE<Gimpl>(rho_)}, SmearBase{OwnedBase.get()} {
-    std::cout << GridLogDebug << "Stout smearing constructor : Smear_Stout(const std::vector<double>& " << rho_ << " )" << std::endl
+    std::cout << GridLogDebug << "Stout smearing constructor : Smear_Stout(const std::vector<double>& " << rho_ << " )" << std::endl;
     assert(Nc == 3 && "Stout smearing currently implemented only for Nc==3");
     }
 

Grid/qcd/utils/GaugeGroup.h

@@ -100,6 +100,9 @@ class GaugeGroup {
   using iGroupMatrix = iScalar<iScalar<iMatrix<vtype, ncolour> > >;
   template <typename vtype>
   using iAlgebraVector = iScalar<iScalar<iVector<vtype, AdjointDimension> > >;
+  template <typename vtype>
+  using iSUnAlgebraMatrix =
+    iScalar<iScalar<iMatrix<vtype, AdjointDimension> > >;
   static int su2subgroups(void) { return su2subgroups(group_name()); }
 
   //////////////////////////////////////////////////////////////////////////////////////////////////
@@ -133,6 +136,15 @@ class GaugeGroup {
   typedef Lattice<vAlgebraVectorF> LatticeAlgebraVectorF;
   typedef Lattice<vAlgebraVectorD> LatticeAlgebraVectorD;
    
+  typedef iSUnAlgebraMatrix<vComplex>  vAlgebraMatrix;
+  typedef iSUnAlgebraMatrix<vComplexF> vAlgebraMatrixF;
+  typedef iSUnAlgebraMatrix<vComplexD> vAlgebraMatrixD;
+
+  typedef Lattice<vAlgebraMatrix>  LatticeAlgebraMatrix;
+  typedef Lattice<vAlgebraMatrixF> LatticeAlgebraMatrixF;
+  typedef Lattice<vAlgebraMatrixD> LatticeAlgebraMatrixD;
+  
+
   typedef iSU2Matrix<Complex> SU2Matrix;
   typedef iSU2Matrix<ComplexF> SU2MatrixF;
   typedef iSU2Matrix<ComplexD> SU2MatrixD;
@@ -160,7 +172,7 @@ class GaugeGroup {
     return generator(lieIndex, ta, group_name());
   }
 
-  static void su2SubGroupIndex(int &i1, int &i2, int su2_index) {
+  static accelerator_inline void su2SubGroupIndex(int &i1, int &i2, int su2_index) {
     return su2SubGroupIndex(i1, i2, su2_index, group_name());
   }
 
@@ -389,6 +401,52 @@ class GaugeGroup {
     }
   }
 
+// Ta are hermitian (?)
+// Anti herm is i Ta basis
+static void LieAlgebraProject(LatticeAlgebraMatrix &out,const LatticeMatrix &in, int b)
+{
+  conformable(in, out);
+  GridBase *grid = out.Grid();
+  LatticeComplex tmp(grid);
+  Matrix ta;
+  // Using Luchang's projection convention
+  //  2 Tr{Ta Tb} A_b= 2/2 delta ab A_b = A_a
+  autoView(out_v,out,AcceleratorWrite);
+  autoView(in_v,in,AcceleratorRead);
+  int N = ncolour;
+  int NNm1 = N * (N - 1);
+  int hNNm1= NNm1/2;
+  RealD sqrt_2 = sqrt(2.0);
+  Complex ci(0.0,1.0);
+  for(int su2Index=0;su2Index<hNNm1;su2Index++){
+    int i1, i2;
+    su2SubGroupIndex(i1, i2, su2Index);
+    int ax = su2Index*2;
+    int ay = su2Index*2+1;
+    accelerator_for(ss,grid->oSites(),1,{
+	// in is traceless ANTI-hermitian whereas Grid generators are Hermitian.
+	// trace( Ta x Ci in)
+	// Bet I need to move to real part with mult by -i
+	out_v[ss]()()(ax,b) = 0.5*(real(in_v[ss]()()(i2,i1)) - real(in_v[ss]()()(i1,i2)));
+	out_v[ss]()()(ay,b) = 0.5*(imag(in_v[ss]()()(i1,i2)) + imag(in_v[ss]()()(i2,i1)));
+      });
+  }
+  for(int diagIndex=0;diagIndex<N-1;diagIndex++){
+    int k = diagIndex + 1; // diagIndex starts from 0
+    int a = NNm1+diagIndex;
+    RealD scale = 1.0/sqrt(2.0*k*(k+1));
+    accelerator_for(ss,grid->oSites(),vComplex::Nsimd(),{
+	auto tmp = in_v[ss]()()(0,0);
+	for(int i=1;i<k;i++){
+	  tmp=tmp+in_v[ss]()()(i,i);
+	}
+	tmp = tmp - in_v[ss]()()(k,k)*k;
+	out_v[ss]()()(a,b) =imag(tmp) * scale;
+      });
+    }
+}
+
+  
 };
     
 template <int ncolour>

Grid/qcd/utils/SUn.impl.h

@@ -10,6 +10,7 @@
 // doesn't get found by the scripts/filelist during bootstrapping.
 
 private:
+
 template <ONLY_IF_SU>
 static int su2subgroups(GroupName::SU) { return (ncolour * (ncolour - 1)) / 2; }
 ////////////////////////////////////////////////////////////////////////
@@ -576,3 +577,4 @@ static void RandomGaugeTransform(GridParallelRNG &pRNG, typename Gimpl::GaugeFie
   LieRandomize(pRNG,g,1.0);
   GaugeTransform<Gimpl>(Umu,g);
 }
+

Grid/qcd/utils/WilsonLoops.h

@@ -464,7 +464,8 @@ public:
   //U_padded: the gauge link fields padded out using the PaddedCell class
   //Cell: the padded cell class
   //gStencil: the precomputed generalized local stencil for the staple
-  static void StaplePaddedAll(std::vector<GaugeMat> &staple, const std::vector<GaugeMat> &U_padded, const PaddedCell &Cell, const GeneralLocalStencil &gStencil) {
+  static void StaplePaddedAll(std::vector<GaugeMat> &staple, const std::vector<GaugeMat> &U_padded, const PaddedCell &Cell, const GeneralLocalStencil &gStencil)
+  {
     double t0 = usecond();
     assert(U_padded.size() == Nd); assert(staple.size() == Nd);
     assert(U_padded[0].Grid() == (GridBase*)Cell.grids.back());
@@ -487,9 +488,9 @@ public:
     for(int mu=0;mu<Nd;mu++){
       { //view scope
 	autoView( gStaple_v , gStaple, AcceleratorWrite);
-	auto gStencil_v = gStencil.View(AcceleratorRead);
+	auto gStencil_v = gStencil.View();
 	
-	accelerator_for(ss, ggrid->oSites(), ggrid->Nsimd(), {
+	accelerator_for(ss, ggrid->oSites(), (size_t)ggrid->Nsimd(), {
 	    decltype(coalescedRead(Ug_dirs_v[0][0])) stencil_ss;
 	    stencil_ss = Zero();
 	    int off = outer_off;
@@ -1199,9 +1200,9 @@ public:
 
       { //view scope
 	autoView( gStaple_v , gStaple, AcceleratorWrite);
-	auto gStencil_v = gStencil.View(AcceleratorRead);
+	auto gStencil_v = gStencil.View();
 
-	accelerator_for(ss, ggrid->oSites(), ggrid->Nsimd(), {
+	accelerator_for(ss, ggrid->oSites(), (size_t)ggrid->Nsimd(), {
 	    decltype(coalescedRead(Ug_dirs_v[0][0])) stencil_ss;
 	    stencil_ss = Zero();
 	    int s=offset;

Grid/simd/Grid_vector_types.h

@@ -1130,15 +1130,16 @@ static_assert(sizeof(SIMD_Ftype) == sizeof(SIMD_Itype), "SIMD vector lengths inc
 #endif
 #endif
 
-// Fixme need coalesced read gpermute
-template<class vobj> void gpermute(vobj & inout,int perm){
-  vobj tmp=inout;
-  if (perm & 0x1 ) { permute(inout,tmp,0); tmp=inout;}
-  if (perm & 0x2 ) { permute(inout,tmp,1); tmp=inout;}
-  if (perm & 0x4 ) { permute(inout,tmp,2); tmp=inout;}
-  if (perm & 0x8 ) { permute(inout,tmp,3); tmp=inout;}
-}
 
 NAMESPACE_END(Grid);
 
+#ifdef GRID_SYCL
+template<> struct sycl::is_device_copyable<Grid::vComplexF> : public std::true_type {};
+template<> struct sycl::is_device_copyable<Grid::vComplexD> : public std::true_type {};
+template<> struct sycl::is_device_copyable<Grid::vRealF   > : public std::true_type {};
+template<> struct sycl::is_device_copyable<Grid::vRealD   > : public std::true_type {};
+template<> struct sycl::is_device_copyable<Grid::vInteger > : public std::true_type {};
+#endif
+
+
 #endif

Grid/sitmo_rng/sitmo_prng_engine.hpp

@@ -218,6 +218,10 @@ public:
     // -------------------------------------------------
     // misc
     // -------------------------------------------------
+    void discardhi(uint64_t z) {
+      _s[3] += z;
+      encrypt_counter();
+    }
     
     // req: 26.5.1.4 Random number engine requirements, p.908 table 117, row 9
     // Advances e’s state ei to ei+z by any means equivalent to z

Grid/stencil/GeneralLocalStencil.h

@@ -32,12 +32,7 @@ NAMESPACE_BEGIN(Grid);
 struct GeneralStencilEntry { 
   uint64_t _offset;            // 4 bytes 
   uint8_t _permute;            // 1 bytes // Horrible alignment properties
-  uint8_t _wrap;               // 1 bytes // Horrible alignment properties
 };
-struct GeneralStencilEntryReordered : public GeneralStencilEntry {
-  uint64_t _input;
-};
-
 // Could pack to 8 + 4 + 4 = 128 bit and use 
 
 class GeneralLocalStencilView {
@@ -48,10 +43,10 @@ class GeneralLocalStencilView {
   int                               _npoints; // Move to template param?
   GeneralStencilEntry*  _entries_p;
 
-  accelerator_inline GeneralStencilEntry * GetEntry(int point,int osite) { 
+  accelerator_inline GeneralStencilEntry * GetEntry(int point,int osite) const { 
     return & this->_entries_p[point+this->_npoints*osite]; 
   }
-  void ViewClose(void){};
+
 };
 ////////////////////////////////////////
 // The Stencil Class itself
@@ -66,7 +61,7 @@ protected:
 public: 
   GridBase *Grid(void) const { return _grid; }
 
-  View_type View(int mode) const {
+  View_type View(void) const {
     View_type accessor(*( (View_type *) this));
     return accessor;
   }
@@ -106,23 +101,17 @@ public:
 	  // Simpler version using icoor calculation
 	  ////////////////////////////////////////////////
 	  SE._permute =0;
-	  SE._wrap=0;
 	  for(int d=0;d<Coor.size();d++){
 
 	    int fd = grid->_fdimensions[d];
 	    int rd = grid->_rdimensions[d];
-	    int ld = grid->_ldimensions[d];
 	    int ly = grid->_simd_layout[d];
 
-	    assert((ly==1)||(ly==2)||(ly==grid->Nsimd()));
+	    assert((ly==1)||(ly==2));
 
 	    int shift = (shifts[ii][d]+fd)%fd;  // make it strictly positive 0.. L-1
 	    int x = Coor[d];                // x in [0... rd-1] as an oSite 
 
-	    if ( (x + shift)%fd != (x+shift)%ld ){
-	      SE._wrap = 1;
-	    }
-	    
 	    int permute_dim  = grid->PermuteDim(d);
 	    int permute_slice=0;
 	    if(permute_dim){    
@@ -148,5 +137,55 @@ public:
   
 };
 
+
+////////////////////////////////////////////////
+// Some machinery to streamline making a stencil 
+////////////////////////////////////////////////
+
+class shiftSignal {
+public:
+    enum {
+        BACKWARD_CONST = 16,
+        NO_SHIFT       = -1
+    };
+};
+
+// TODO: put a check somewhere that BACKWARD_CONST > Nd!
+
+/*!  @brief signals that you want to go backwards in direction dir */
+inline int Back(const int dir) {
+    // generalShift will use BACKWARD_CONST to determine whether we step forward or 
+    // backward. Trick inspired by SIMULATeQCD. 
+    return dir + shiftSignal::BACKWARD_CONST;
+}
+
+/*!  @brief shift one unit in direction dir */
+template<typename... Args>
+void generalShift(Coordinate& shift, int dir) {
+    if (dir >= shiftSignal::BACKWARD_CONST) {
+        dir -= shiftSignal::BACKWARD_CONST;
+        shift[dir]+=-1;
+    } else if (dir == shiftSignal::NO_SHIFT) {
+        ; // do nothing
+    } else {
+        shift[dir]+=1;
+    }
+}
+
+/*!  @brief follow a path of directions, shifting one unit in each direction */
+template<typename... Args>
+void generalShift(Coordinate& shift, int dir, Args... args) {
+    if (dir >= shiftSignal::BACKWARD_CONST) {
+        dir -= shiftSignal::BACKWARD_CONST;
+        shift[dir]+=-1;
+    } else if (dir == shiftSignal::NO_SHIFT) {
+        ; // do nothing
+    } else {
+        shift[dir]+=1;
+    }
+    generalShift(shift, args...);
+}
+
+
 NAMESPACE_END(Grid);
 

Grid/stencil/Stencil.h

@@ -706,7 +706,7 @@ public:
 	}
       }
     }
-    std::cout << GridLogDebug << "BuildSurfaceList size is "<<surface_list.size()<<std::endl;
+    //std::cout << "BuildSurfaceList size is "<<surface_list.size()<<std::endl;
   }
   /// Introduce a block structure and switch off comms on boundaries
   void DirichletBlock(const Coordinate &dirichlet_block)
@@ -761,7 +761,8 @@ public:
 		   int checkerboard,
 		   const std::vector<int> &directions,
 		   const std::vector<int> &distances,
-		   Parameters p=Parameters())
+		   Parameters p=Parameters(),
+		   bool preserve_shm=false)
   {
     face_table_computed=0;
     _grid    = grid;
@@ -855,6 +856,8 @@ public:
     /////////////////////////////////////////////////////////////////////////////////
     const int Nsimd = grid->Nsimd();
 
+    // Allow for multiple stencils to exist simultaneously
+    if (!preserve_shm)
       _grid->ShmBufferFreeAll();
 
     int maxl=2;

Grid/tensors/Tensor_trace.h

@@ -69,6 +69,35 @@ accelerator_inline auto trace(const iVector<vtype,N> &arg) -> iVector<decltype(t
   }
   return ret;
 }
+////////////////////////////
+// Fast path traceProduct
+////////////////////////////
+template<class S1 , class S2, IfNotGridTensor<S1> = 0, IfNotGridTensor<S2> = 0>
+accelerator_inline auto traceProduct( const S1 &arg1,const S2 &arg2)
+  -> decltype(arg1*arg2)
+{
+  return arg1*arg2;
+}
+
+template<class vtype,class rtype,int N >
+accelerator_inline auto traceProduct(const iMatrix<vtype,N> &arg1,const iMatrix<rtype,N> &arg2) -> iScalar<decltype(trace(arg1._internal[0][0]*arg2._internal[0][0]))>
+{
+  iScalar<decltype( trace(arg1._internal[0][0]*arg2._internal[0][0] )) > ret;
+  zeroit(ret._internal);
+  for(int i=0;i<N;i++){
+  for(int j=0;j<N;j++){
+    ret._internal=ret._internal+traceProduct(arg1._internal[i][j],arg2._internal[j][i]);
+  }}
+  return ret;
+}
+
+template<class vtype,class rtype >
+accelerator_inline auto traceProduct(const iScalar<vtype> &arg1,const iScalar<rtype> &arg2) -> iScalar<decltype(trace(arg1._internal*arg2._internal))>
+{
+  iScalar<decltype(trace(arg1._internal*arg2._internal))> ret;
+  ret._internal=traceProduct(arg1._internal,arg2._internal);
+  return ret;
+}
 
 NAMESPACE_END(Grid);
 

Grid/tensors/Tensor_traits.h

@@ -34,9 +34,12 @@ NAMESPACE_BEGIN(Grid);
 
   // These are the Grid tensors
   template<typename T>     struct isGridTensor                : public std::false_type { static constexpr bool notvalue = true; };
-  template<class T>        struct isGridTensor<iScalar<T>>    : public std::true_type  { static constexpr bool notvalue = false; };
-  template<class T, int N> struct isGridTensor<iVector<T, N>> : public std::true_type  { static constexpr bool notvalue = false; };
-  template<class T, int N> struct isGridTensor<iMatrix<T, N>> : public std::true_type  { static constexpr bool notvalue = false; };
+  template<class T>        struct isGridTensor<iScalar<T> >   : public std::true_type  { static constexpr bool notvalue = false; };
+  template<class T, int N> struct isGridTensor<iVector<T, N> >: public std::true_type  { static constexpr bool notvalue = false; };
+  template<class T, int N> struct isGridTensor<iMatrix<T, N> >: public std::true_type  { static constexpr bool notvalue = false; };
+
+  template <typename T>  using IfGridTensor    = Invoke<std::enable_if<isGridTensor<T>::value, int> >;
+  template <typename T>  using IfNotGridTensor = Invoke<std::enable_if<!isGridTensor<T>::value, int> >;
 
   // Traits to identify scalars
   template<typename T>     struct isGridScalar                : public std::false_type { static constexpr bool notvalue = true; };
@@ -401,3 +404,12 @@ NAMESPACE_BEGIN(Grid);
   };
 NAMESPACE_END(Grid);
 
+
+#ifdef GRID_SYCL
+template<typename T> struct
+sycl::is_device_copyable<T, typename std::enable_if<
+			      Grid::isGridTensor<T>::value  && (!std::is_trivially_copyable<T>::value),
+			      void>::type>
+  : public std::true_type {};
+#endif
+

Grid/threads/Accelerator.cc

@@ -7,6 +7,8 @@ uint32_t accelerator_threads=2;
 uint32_t acceleratorThreads(void)       {return accelerator_threads;};
 void     acceleratorThreads(uint32_t t) {accelerator_threads = t;};
 
+#define ENV_LOCAL_RANK_PALS    "PALS_LOCAL_RANKID"
+#define ENV_RANK_PALS          "PALS_RANKID"
 #define ENV_LOCAL_RANK_OMPI    "OMPI_COMM_WORLD_LOCAL_RANK"
 #define ENV_RANK_OMPI          "OMPI_COMM_WORLD_RANK"
 #define ENV_LOCAL_RANK_SLURM   "SLURM_LOCALID"
@@ -147,7 +149,7 @@ void acceleratorInit(void)
 #define GPU_PROP_FMT(canMapHostMemory,FMT)     printf("AcceleratorHipInit:   " #canMapHostMemory ": " FMT" \n",prop.canMapHostMemory);
 #define GPU_PROP(canMapHostMemory)             GPU_PROP_FMT(canMapHostMemory,"%d");
     
-    hipGetDeviceProperties(&gpu_props[i], i);
+    auto r=hipGetDeviceProperties(&gpu_props[i], i);
     hipDeviceProp_t prop; 
     prop = gpu_props[i];
     totalDeviceMem = prop.totalGlobalMem;
@@ -228,8 +230,17 @@ void acceleratorInit(void)
   {
     rank = atoi(localRankStr);		
   }
+  if ((localRankStr = getenv(ENV_LOCAL_RANK_PALS)) != NULL)
+  {
+    rank = atoi(localRankStr);		
+  }
   if ((localRankStr = getenv(ENV_RANK_OMPI   )) != NULL) { world_rank = atoi(localRankStr);}
   if ((localRankStr = getenv(ENV_RANK_MVAPICH)) != NULL) { world_rank = atoi(localRankStr);}
+  if ((localRankStr = getenv(ENV_RANK_PALS   )) != NULL) { world_rank = atoi(localRankStr);}
+
+  char hostname[HOST_NAME_MAX+1];
+  gethostname(hostname, HOST_NAME_MAX+1);
+  if ( rank==0 ) printf(" acceleratorInit world_rank %d is host %s \n",world_rank,hostname);
 
   auto devices = cl::sycl::device::get_devices();
   for(int d = 0;d<devices.size();d++){
@@ -241,6 +252,7 @@ void acceleratorInit(void)
     printf("AcceleratorSyclInit:   " #prop ": " FMT" \n",devices[d].get_info<cl::sycl::info::device::prop>());
 
 #define GPU_PROP(prop)             GPU_PROP_FMT(prop,"%ld");
+    if ( world_rank == 0) {
 
       GPU_PROP_STR(vendor);
       GPU_PROP_STR(version);
@@ -260,6 +272,7 @@ void acceleratorInit(void)
     */
     //    GPU_PROP(double_fp_config);
       GPU_PROP(global_mem_size);
+    }
 
   }
   if ( world_rank == 0 ) {

Grid/threads/Accelerator.h

@@ -137,18 +137,6 @@ inline void cuda_mem(void)
     dim3 cu_blocks ((num1+nt-1)/nt,num2,1);				\
     LambdaApply<<<cu_blocks,cu_threads,0,computeStream>>>(num1,num2,nsimd,lambda);	\
   }
-#define prof_accelerator_for2dNB( iter1, num1, iter2, num2, nsimd, ... )	\
-  {									\
-    int nt=acceleratorThreads();					\
-    typedef uint64_t Iterator;						\
-    auto lambda = [=] accelerator					\
-      (Iterator iter1,Iterator iter2,Iterator lane) mutable {		\
-      __VA_ARGS__;							\
-    };									\
-    dim3 cu_threads(nsimd,acceleratorThreads(),1);			\
-    dim3 cu_blocks ((num1+nt-1)/nt,num2,1);				\
-    ProfileLambdaApply<<<cu_blocks,cu_threads,0,computeStream>>>(num1,num2,nsimd,lambda); \
-  }
 
 #define accelerator_for6dNB(iter1, num1,				\
                             iter2, num2,				\
@@ -169,20 +157,6 @@ inline void cuda_mem(void)
     Lambda6Apply<<<cu_blocks,cu_threads,0,computeStream>>>(num1,num2,num3,num4,num5,num6,lambda); \
   }
 
-
-#define accelerator_for2dNB( iter1, num1, iter2, num2, nsimd, ... )	\
-  {									\
-    int nt=acceleratorThreads();					\
-    typedef uint64_t Iterator;						\
-    auto lambda = [=] accelerator					\
-      (Iterator iter1,Iterator iter2,Iterator lane) mutable {		\
-      __VA_ARGS__;							\
-    };									\
-    dim3 cu_threads(nsimd,acceleratorThreads(),1);			\
-    dim3 cu_blocks ((num1+nt-1)/nt,num2,1);				\
-    LambdaApply<<<cu_blocks,cu_threads,0,computeStream>>>(num1,num2,nsimd,lambda);	\
-  }
-
 template<typename lambda>  __global__
 void LambdaApply(uint64_t num1, uint64_t num2, uint64_t num3, lambda Lambda)
 {
@@ -194,17 +168,6 @@ void LambdaApply(uint64_t num1, uint64_t num2, uint64_t num3, lambda Lambda)
     Lambda(x,y,z);
   }
 }
-template<typename lambda>  __global__
-void ProfileLambdaApply(uint64_t num1, uint64_t num2, uint64_t num3, lambda Lambda)
-{
-  // Weird permute is to make lane coalesce for large blocks
-  uint64_t x = threadIdx.y + blockDim.y*blockIdx.x;
-  uint64_t y = threadIdx.z + blockDim.z*blockIdx.y;
-  uint64_t z = threadIdx.x;
-  if ( (x < num1) && (y<num2) && (z<num3) ) {
-    Lambda(x,y,z);
-  }
-}
 
 template<typename lambda>  __global__
 void Lambda6Apply(uint64_t num1, uint64_t num2, uint64_t num3,
@@ -245,7 +208,6 @@ inline void *acceleratorAllocShared(size_t bytes)
   if( err != cudaSuccess ) {
     ptr = (void *) NULL;
     printf(" cudaMallocManaged failed for %d %s \n",bytes,cudaGetErrorString(err));
-    assert(0);
   }
   return ptr;
 };
@@ -263,6 +225,8 @@ inline void acceleratorFreeShared(void *ptr){ cudaFree(ptr);};
 inline void acceleratorFreeDevice(void *ptr){ cudaFree(ptr);};
 inline void acceleratorCopyToDevice(void *from,void *to,size_t bytes)  { cudaMemcpy(to,from,bytes, cudaMemcpyHostToDevice);}
 inline void acceleratorCopyFromDevice(void *from,void *to,size_t bytes){ cudaMemcpy(to,from,bytes, cudaMemcpyDeviceToHost);}
+inline void acceleratorCopyToDeviceAsync(void *from, void *to, size_t bytes, cudaStream_t stream = copyStream) { cudaMemcpyAsync(to,from,bytes, cudaMemcpyHostToDevice, stream);}
+inline void acceleratorCopyFromDeviceAsync(void *from, void *to, size_t bytes, cudaStream_t stream = copyStream) { cudaMemcpyAsync(to,from,bytes, cudaMemcpyDeviceToHost, stream);}
 inline void acceleratorMemSet(void *base,int value,size_t bytes) { cudaMemset(base,value,bytes);}
 inline void acceleratorCopyDeviceToDeviceAsynch(void *from,void *to,size_t bytes) // Asynch
 {
@@ -291,17 +255,13 @@ inline int  acceleratorIsCommunicable(void *ptr)
 #define GRID_SYCL_LEVEL_ZERO_IPC
 
 NAMESPACE_END(Grid);
-#if 0
-#include <CL/sycl.hpp>
-#include <CL/sycl/usm.hpp>
-#include <level_zero/ze_api.h>
-#include <CL/sycl/backend/level_zero.hpp>
-#else
+
+// Force deterministic reductions
+#define SYCL_REDUCTION_DETERMINISTIC
 #include <sycl/CL/sycl.hpp>
 #include <sycl/usm.hpp>
 #include <level_zero/ze_api.h>
 #include <sycl/ext/oneapi/backend/level_zero.hpp>
-#endif
 
 NAMESPACE_BEGIN(Grid);
 
@@ -326,11 +286,12 @@ accelerator_inline int acceleratorSIMTlane(int Nsimd) {
 #define accelerator_for2dNB( iter1, num1, iter2, num2, nsimd, ... )	\
   theGridAccelerator->submit([&](cl::sycl::handler &cgh) {		\
     unsigned long nt=acceleratorThreads();				\
+    if(nt < 8)nt=8;							\
     unsigned long unum1 = num1;						\
     unsigned long unum2 = num2;						\
-      if(nt < 8)nt=8;							\
+    unsigned long unum1_divisible_by_nt = ((unum1 + nt - 1) / nt) * nt;	\
     cl::sycl::range<3> local {nt,1,nsimd};				\
-      cl::sycl::range<3> global{unum1,unum2,nsimd};			\
+    cl::sycl::range<3> global{unum1_divisible_by_nt,unum2,nsimd};	\
     cgh.parallel_for(							\
 		     cl::sycl::nd_range<3>(global,local),		\
 		     [=] (cl::sycl::nd_item<3> item) /*mutable*/	\
@@ -339,7 +300,7 @@ accelerator_inline int acceleratorSIMTlane(int Nsimd) {
 		       auto iter1    = item.get_global_id(0);		\
 		       auto iter2    = item.get_global_id(1);		\
 		       auto lane     = item.get_global_id(2);		\
-      { __VA_ARGS__ };				      \
+		       { if (iter1 < unum1){ __VA_ARGS__ } };		\
 		     });						\
   });
 
@@ -443,7 +404,7 @@ void LambdaApply(uint64_t numx, uint64_t numy, uint64_t numz, lambda Lambda)
 
 #define accelerator_barrier(dummy)				\
   {								\
-    auto tmp=hipStreamSynchronize(computeStream);		\
+    auto r=hipStreamSynchronize(computeStream);			\
     auto err = hipGetLastError();				\
     if ( err != hipSuccess ) {					\
       printf("After hipDeviceSynchronize() : HIP error %s \n", hipGetErrorString( err )); \
@@ -476,19 +437,21 @@ inline void *acceleratorAllocDevice(size_t bytes)
   return ptr;
 };
 
-inline void acceleratorFreeShared(void *ptr){ auto discard=hipFree(ptr);};
-inline void acceleratorFreeDevice(void *ptr){ auto discard=hipFree(ptr);};
-inline void acceleratorCopyToDevice(void *from,void *to,size_t bytes)  { auto discard=hipMemcpy(to,from,bytes, hipMemcpyHostToDevice);}
-inline void acceleratorCopyFromDevice(void *from,void *to,size_t bytes){ auto discard=hipMemcpy(to,from,bytes, hipMemcpyDeviceToHost);}
+inline void acceleratorFreeShared(void *ptr){ auto r=hipFree(ptr);};
+inline void acceleratorFreeDevice(void *ptr){ auto r=hipFree(ptr);};
+inline void acceleratorCopyToDevice(void *from,void *to,size_t bytes)  { auto r=hipMemcpy(to,from,bytes, hipMemcpyHostToDevice);}
+inline void acceleratorCopyFromDevice(void *from,void *to,size_t bytes){ auto r=hipMemcpy(to,from,bytes, hipMemcpyDeviceToHost);}
+inline void acceleratorCopyToDeviceAsync(void *from, void *to, size_t bytes, hipStream_t stream = copyStream) { auto r = hipMemcpyAsync(to,from,bytes, hipMemcpyHostToDevice, stream);}
+inline void acceleratorCopyFromDeviceAsync(void *from, void *to, size_t bytes, hipStream_t stream = copyStream) { auto r = hipMemcpyAsync(to,from,bytes, hipMemcpyDeviceToHost, stream);}
 //inline void acceleratorCopyDeviceToDeviceAsynch(void *from,void *to,size_t bytes)  { hipMemcpy(to,from,bytes, hipMemcpyDeviceToDevice);}
 //inline void acceleratorCopySynchronise(void) {  }
-inline void acceleratorMemSet(void *base,int value,size_t bytes) { auto discard=hipMemset(base,value,bytes);}
+inline void acceleratorMemSet(void *base,int value,size_t bytes) { auto r=hipMemset(base,value,bytes);}
 
 inline void acceleratorCopyDeviceToDeviceAsynch(void *from,void *to,size_t bytes) // Asynch
 {
-  auto discard=hipMemcpyDtoDAsync(to,from,bytes, copyStream);
+  auto r=hipMemcpyDtoDAsync(to,from,bytes, copyStream);
 }
-inline void acceleratorCopySynchronise(void) { auto discard=hipStreamSynchronize(copyStream); };
+inline void acceleratorCopySynchronise(void) { auto r=hipStreamSynchronize(copyStream); };
 
 #endif
 
@@ -498,9 +461,6 @@ inline void acceleratorCopySynchronise(void) { auto discard=hipStreamSynchronize
 #if defined(GRID_SYCL) || defined(GRID_CUDA) || defined(GRID_HIP)
 // FIXME -- the non-blocking nature got broken March 30 2023 by PAB
 #define accelerator_forNB( iter1, num1, nsimd, ... ) accelerator_for2dNB( iter1, num1, iter2, 1, nsimd, {__VA_ARGS__} );  
-#define prof_accelerator_for( iter1, num1, nsimd, ... ) \
-  prof_accelerator_for2dNB( iter1, num1, iter2, 1, nsimd, {__VA_ARGS__} );\
-  accelerator_barrier(dummy);
 
 #define accelerator_for( iter, num, nsimd, ... )		\
   accelerator_forNB(iter, num, nsimd, { __VA_ARGS__ } );	\
@@ -616,4 +576,11 @@ accelerator_inline void acceleratorFence(void)
   return;
 }
 
+inline void acceleratorCopyDeviceToDevice(void *from,void *to,size_t bytes)
+{
+  acceleratorCopyDeviceToDeviceAsynch(from,to,bytes);
+  acceleratorCopySynchronise();
+}
+
+
 NAMESPACE_END(Grid);

Grid/util/Coordinate.h

@@ -94,13 +94,6 @@ static constexpr int MaxDims = GRID_MAX_LATTICE_DIMENSION;
 
 typedef AcceleratorVector<int,MaxDims> Coordinate;
 
-template<class T,int _ndim>
-inline bool operator==(const AcceleratorVector<T,_ndim> &v,const AcceleratorVector<T,_ndim> &w)
-{
-  if (v.size()!=w.size()) return false;
-  for(int i=0;i<v.size();i++) if ( v[i]!=w[i] ) return false;
-  return true;
-}
 template<class T,int _ndim>
 inline std::ostream & operator<<(std::ostream &os, const AcceleratorVector<T,_ndim> &v)
 {

Grid/util/Init.cc

@@ -77,6 +77,10 @@ feenableexcept (unsigned int excepts)
 }
 #endif
 
+#ifndef HOST_NAME_MAX
+#define HOST_NAME_MAX _POSIX_HOST_NAME_MAX
+#endif
+
 NAMESPACE_BEGIN(Grid);
 
 //////////////////////////////////////////////////////
@@ -283,7 +287,6 @@ void GridBanner(void)
     std::cout << "Build " << GRID_BUILD_STR(GRID_BUILD_REF) << std::endl;
 #endif
     std::cout << std::endl;
-    std::cout << std::setprecision(9);
 }
 
 void Grid_init(int *argc,char ***argv)
@@ -394,6 +397,9 @@ void Grid_init(int *argc,char ***argv)
   std::cout << GridLogMessage << "MPI is initialised and logging filters activated "<<std::endl;
   std::cout << GridLogMessage << "================================================ "<<std::endl;
 
+  char hostname[HOST_NAME_MAX+1];
+  gethostname(hostname, HOST_NAME_MAX+1);
+  std::cout << GridLogMessage << "This rank is running on host "<< hostname<<std::endl;
 
   /////////////////////////////////////////////////////////
   // Reporting
@@ -414,7 +420,7 @@ void Grid_init(int *argc,char ***argv)
   // Logging
   ////////////////////////////////////
   std::vector<std::string> logstreams;
-  std::string defaultLog("Error,Warning,Message,Memory");
+  std::string defaultLog("Error,Warning,Message,Performance");
   GridCmdOptionCSL(defaultLog,logstreams);
   GridLogConfigure(logstreams);
 
@@ -538,10 +544,6 @@ void Grid_init(int *argc,char ***argv)
 
 void Grid_finalize(void)
 {
-  std::cout<<GridLogMessage<<"*******************************************"<<std::endl;
-  std::cout<<GridLogMessage<<"******* Grid Finalize                ******"<<std::endl;
-  std::cout<<GridLogMessage<<"*******************************************"<<std::endl;
-
 #if defined (GRID_COMMS_MPI) || defined (GRID_COMMS_MPI3) || defined (GRID_COMMS_MPIT)
   MPI_Barrier(MPI_COMM_WORLD);
   MPI_Finalize();

Grid/util/Lexicographic.h

@@ -8,7 +8,7 @@ namespace Grid{
   public:
 
     template<class coor_t>
-    static accelerator_inline void CoorFromIndex (coor_t& coor,int64_t index,const coor_t &dims){
+    static accelerator_inline void CoorFromIndex (coor_t& coor,int index,const coor_t &dims){
       int nd= dims.size();
       coor.resize(nd);
       for(int d=0;d<nd;d++){
@@ -18,45 +18,28 @@ namespace Grid{
     }
 
     template<class coor_t>
-    static accelerator_inline void IndexFromCoor (const coor_t& coor,int64_t &index,const coor_t &dims){
+    static accelerator_inline void IndexFromCoor (const coor_t& coor,int &index,const coor_t &dims){
       int nd=dims.size();
       int stride=1;
       index=0;
       for(int d=0;d<nd;d++){
-	index = index+(int64_t)stride*coor[d];
+	index = index+stride*coor[d];
 	stride=stride*dims[d];
       }
     }
-    template<class coor_t>
-    static accelerator_inline void IndexFromCoor (const coor_t& coor,int &index,const coor_t &dims){
-      int64_t index64;
-      IndexFromCoor(coor,index64,dims);
-      assert(index64<2*1024*1024*1024LL);
-      index = (int) index64;
-    }
 
     template<class coor_t>
-    static inline void IndexFromCoorReversed (const coor_t& coor,int64_t &index,const coor_t &dims){
+    static inline void IndexFromCoorReversed (const coor_t& coor,int &index,const coor_t &dims){
       int nd=dims.size();
       int stride=1;
       index=0;
       for(int d=nd-1;d>=0;d--){
-	index = index+(int64_t)stride*coor[d];
+	index = index+stride*coor[d];
 	stride=stride*dims[d];
       }
     }
     template<class coor_t>
-    static inline void IndexFromCoorReversed (const coor_t& coor,int &index,const coor_t &dims){
-      int64_t index64;
-      IndexFromCoorReversed(coor,index64,dims);
-      if ( index64>=2*1024*1024*1024LL ){
-	std::cout << " IndexFromCoorReversed " << coor<<" index " << index64<< " dims "<<dims<<std::endl;
-      }
-      assert(index64<2*1024*1024*1024LL);
-      index = (int) index64;
-    }
-    template<class coor_t>
-    static inline void CoorFromIndexReversed (coor_t& coor,int64_t index,const coor_t &dims){
+    static inline void CoorFromIndexReversed (coor_t& coor,int index,const coor_t &dims){
       int nd= dims.size();
       coor.resize(nd);
       for(int d=nd-1;d>=0;d--){

HMC/FTHMC2p1f.cc

@@ -54,15 +54,16 @@ int main(int argc, char **argv)
   //  MD.name    = std::string("Force Gradient");
   typedef GenericHMCRunner<MinimumNorm2> HMCWrapper;
   MD.name    = std::string("MinimumNorm2");
-  MD.MDsteps = 12;
+  MD.MDsteps = 24;
   MD.trajL   = 1.0;
 
   HMCparameters HMCparams;
-  HMCparams.StartTrajectory  = 0;
+  HMCparams.StartTrajectory  = 104;
   HMCparams.Trajectories     = 200;
   HMCparams.NoMetropolisUntil=  20;
   // "[HotStart, ColdStart, TepidStart, CheckpointStart]\n";
-  HMCparams.StartingType     =std::string("HotStart");
+  //  HMCparams.StartingType     =std::string("HotStart");
+  HMCparams.StartingType     =std::string("CheckpointStart");
   HMCparams.MD = MD;
   HMCWrapper TheHMC(HMCparams);
 
@@ -87,6 +88,7 @@ int main(int argc, char **argv)
   // here there is too much indirection
   typedef PlaquetteMod<HMCWrapper::ImplPolicy> PlaqObs;
   TheHMC.Resources.AddObservable<PlaqObs>();
+
   //////////////////////////////////////////////
 
   const int Ls      = 16;
@@ -134,7 +136,6 @@ int main(int argc, char **argv)
   ////////////////////////////////////
   ActionLevel<HMCWrapper::Field> Level1(1);
   ActionLevel<HMCWrapper::Field> Level2(2);
-  ActionLevel<HMCWrapper::Field> Level3(4);
 
   ////////////////////////////////////
   // Strange action
@@ -191,7 +192,7 @@ int main(int argc, char **argv)
   Smear_Stout<HMCWrapper::ImplPolicy> Stout(rho);
   SmearedConfigurationMasked<HMCWrapper::ImplPolicy> SmearingPolicy(GridPtr, Nstep, Stout);
   JacobianAction<HMCWrapper::ImplPolicy> Jacobian(&SmearingPolicy);
-  if( ApplySmearing ) Level2.push_back(&Jacobian);
+  if( ApplySmearing ) Level1.push_back(&Jacobian);
   std::cout << GridLogMessage << " Built the Jacobian "<< std::endl;
 
 
@@ -200,7 +201,7 @@ int main(int argc, char **argv)
   /////////////////////////////////////////////////////////////
   //  GaugeAction.is_smeared = ApplySmearing;
   GaugeAction.is_smeared = true;
-  Level3.push_back(&GaugeAction);
+  Level2.push_back(&GaugeAction);
 
   std::cout << GridLogMessage << " ************************************************"<< std::endl;
   std::cout << GridLogMessage << " Action complete -- NO FERMIONS FOR NOW -- FIXME"<< std::endl;
@@ -210,10 +211,11 @@ int main(int argc, char **argv)
 
 
   std::cout << GridLogMessage << " Running the FT HMC "<< std::endl;
-
   TheHMC.TheAction.push_back(Level1);
   TheHMC.TheAction.push_back(Level2);
-  TheHMC.TheAction.push_back(Level3);
+
+  TheHMC.ReadCommandLine(argc,argv);  // params on CML or from param file
+  TheHMC.initializeGaugeFieldAndRNGs(U);
 
   TheHMC.Run(SmearingPolicy); // for smearing
 

HMC/FTHMC2p1f_3GeV.cc

@@ -0,0 +1,226 @@
+/*************************************************************************************
+
+Grid physics library, www.github.com/paboyle/Grid
+
+Copyright (C) 2023
+
+Author: Peter Boyle <pabobyle@ph.ed.ac.uk>
+
+This program is free software; you can redistribute it and/or modify
+it under the terms of the GNU General Public License as published by
+the Free Software Foundation; either version 2 of the License, or
+(at your option) any later version.
+
+This program is distributed in the hope that it will be useful,
+but WITHOUT ANY WARRANTY; without even the implied warranty of
+MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+GNU General Public License for more details.
+
+You should have received a copy of the GNU General Public License along
+with this program; if not, write to the Free Software Foundation, Inc.,
+51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
+
+See the full license in the file "LICENSE" in the top level distribution
+directory
+*************************************************************************************/
+/*  END LEGAL */
+#include <Grid/Grid.h>
+#include <Grid/qcd/smearing/GaugeConfigurationMasked.h>
+#include <Grid/qcd/smearing/JacobianAction.h>
+
+using namespace Grid;
+
+int main(int argc, char **argv)
+{
+  std::cout << std::setprecision(12);
+  
+  Grid_init(&argc, &argv);
+  int threads = GridThread::GetThreads();
+  // here make a routine to print all the relevant information on the run
+  std::cout << GridLogMessage << "Grid is setup to use " << threads << " threads" << std::endl;
+
+   // Typedefs to simplify notation
+  typedef WilsonImplR FermionImplPolicy;
+  typedef MobiusFermionD FermionAction;
+  typedef typename FermionAction::FermionField FermionField;
+
+  typedef Grid::XmlReader       Serialiser;
+
+  //::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
+  IntegratorParameters MD;
+  //  typedef GenericHMCRunner<LeapFrog> HMCWrapper;
+  //  MD.name    = std::string("Leap Frog");
+  //  typedef GenericHMCRunner<ForceGradient> HMCWrapper;
+  //  MD.name    = std::string("Force Gradient");
+  typedef GenericHMCRunner<MinimumNorm2> HMCWrapper;
+  MD.name    = std::string("MinimumNorm2");
+  MD.MDsteps = 24;
+  MD.trajL   = 1.0;
+
+  HMCparameters HMCparams;
+  HMCparams.StartTrajectory  = 0;
+  HMCparams.Trajectories     = 200;
+  HMCparams.NoMetropolisUntil=  20;
+  // "[HotStart, ColdStart, TepidStart, CheckpointStart]\n";
+  //  HMCparams.StartingType     =std::string("HotStart");
+  HMCparams.StartingType     =std::string("ColdStart");
+  //  HMCparams.StartingType     =std::string("CheckpointStart");
+  HMCparams.MD = MD;
+  HMCWrapper TheHMC(HMCparams);
+
+  // Grid from the command line arguments --grid and --mpi
+  TheHMC.Resources.AddFourDimGrid("gauge"); // use default simd lanes decomposition
+
+  CheckpointerParameters CPparams;
+  CPparams.config_prefix = "ckpoint_EODWF_lat";
+  CPparams.smeared_prefix = "ckpoint_EODWF_lat_smr";
+  CPparams.rng_prefix    = "ckpoint_EODWF_rng";
+  CPparams.saveInterval  = 1;
+  CPparams.saveSmeared   = true;
+  CPparams.format        = "IEEE64BIG";
+  TheHMC.Resources.LoadNerscCheckpointer(CPparams);
+
+  RNGModuleParameters RNGpar;
+  RNGpar.serial_seeds = "1 2 3 4 5";
+  RNGpar.parallel_seeds = "6 7 8 9 10";
+  TheHMC.Resources.SetRNGSeeds(RNGpar);
+
+  // Construct observables
+  // here there is too much indirection
+  typedef PlaquetteMod<HMCWrapper::ImplPolicy> PlaqObs;
+  TheHMC.Resources.AddObservable<PlaqObs>();
+
+  //////////////////////////////////////////////
+
+  const int Ls      = 12;
+  Real beta         = 2.37;
+  Real light_mass   = 0.0047;
+  Real strange_mass = 0.0186;
+  Real pv_mass      = 1.0;
+  RealD M5  = 1.8;
+  RealD b   = 1.0; // Scale factor one, Shamir
+  RealD c   = 0.0;
+
+  OneFlavourRationalParams OFRp;
+  OFRp.lo       = 1.0e-2;
+  OFRp.hi       = 64;
+  OFRp.MaxIter  = 10000;
+  OFRp.tolerance= 1.0e-10;
+  OFRp.degree   = 14;
+  OFRp.precision= 40;
+
+  std::vector<Real> hasenbusch({ 0.05, 0.1, 0.25, 0.5 });
+
+  auto GridPtr   = TheHMC.Resources.GetCartesian();
+  auto GridRBPtr = TheHMC.Resources.GetRBCartesian();
+  auto FGrid     = SpaceTimeGrid::makeFiveDimGrid(Ls,GridPtr);
+  auto FrbGrid   = SpaceTimeGrid::makeFiveDimRedBlackGrid(Ls,GridPtr);
+
+  IwasakiGaugeActionR GaugeAction(beta);
+
+  // temporarily need a gauge field
+  LatticeGaugeField U(GridPtr);
+  LatticeGaugeField Uhot(GridPtr);
+
+  // These lines are unecessary if BC are all periodic
+  std::vector<Complex> boundary = {1,1,1,-1};
+  FermionAction::ImplParams Params(boundary);
+
+  double StoppingCondition = 1e-10;
+  double MaxCGIterations = 30000;
+  ConjugateGradient<FermionField>  CG(StoppingCondition,MaxCGIterations);
+
+  bool ApplySmearing = true;
+  
+  ////////////////////////////////////
+  // Collect actions
+  ////////////////////////////////////
+  ActionLevel<HMCWrapper::Field> Level1(1);
+  ActionLevel<HMCWrapper::Field> Level2(2);
+
+  ////////////////////////////////////
+  // Strange action
+  ////////////////////////////////////
+
+  MobiusEOFAFermionD Strange_Op_L (U , *FGrid , *FrbGrid , *GridPtr , *GridRBPtr , strange_mass, strange_mass, pv_mass, 0.0, -1, M5, b, c);
+  MobiusEOFAFermionD Strange_Op_R (U , *FGrid , *FrbGrid , *GridPtr , *GridRBPtr , pv_mass, strange_mass,      pv_mass, -1.0, 1, M5, b, c);
+  ExactOneFlavourRatioPseudoFermionAction<FermionImplPolicy> 
+    EOFA(Strange_Op_L, Strange_Op_R, 
+	 CG,
+	 CG, CG,
+	 CG, CG, 
+	 OFRp, false);
+
+  EOFA.is_smeared = ApplySmearing;
+  Level1.push_back(&EOFA);
+
+  ////////////////////////////////////
+  // up down action
+  ////////////////////////////////////
+  std::vector<Real> light_den;
+  std::vector<Real> light_num;
+
+  int n_hasenbusch = hasenbusch.size();
+  light_den.push_back(light_mass);
+  for(int h=0;h<n_hasenbusch;h++){
+    light_den.push_back(hasenbusch[h]);
+    light_num.push_back(hasenbusch[h]);
+  }
+  light_num.push_back(pv_mass);
+
+  std::vector<FermionAction *> Numerators;
+  std::vector<FermionAction *> Denominators;
+  std::vector<TwoFlavourEvenOddRatioPseudoFermionAction<FermionImplPolicy> *> Quotients;
+
+  for(int h=0;h<n_hasenbusch+1;h++){
+    std::cout << GridLogMessage << " 2f quotient Action  "<< light_num[h] << " / " << light_den[h]<< std::endl;
+    Numerators.push_back  (new FermionAction(U,*FGrid,*FrbGrid,*GridPtr,*GridRBPtr,light_num[h],M5,b,c, Params));
+    Denominators.push_back(new FermionAction(U,*FGrid,*FrbGrid,*GridPtr,*GridRBPtr,light_den[h],M5,b,c, Params));
+    Quotients.push_back   (new TwoFlavourEvenOddRatioPseudoFermionAction<FermionImplPolicy>(*Numerators[h],*Denominators[h],CG,CG));
+  }
+
+  for(int h=0;h<n_hasenbusch+1;h++){
+    Quotients[h]->is_smeared = ApplySmearing;
+    Level1.push_back(Quotients[h]);
+  }
+
+  /////////////////////////////////////////////////////////////
+  // lnDetJacobianAction
+  /////////////////////////////////////////////////////////////
+  double rho = 0.1;  // smearing parameter
+  int Nsmear = 1;    // number of smearing levels - must be multiple of 2Nd
+  int Nstep  = 8*Nsmear;    // number of smearing levels - must be multiple of 2Nd
+  Smear_Stout<HMCWrapper::ImplPolicy> Stout(rho);
+  SmearedConfigurationMasked<HMCWrapper::ImplPolicy> SmearingPolicy(GridPtr, Nstep, Stout);
+  JacobianAction<HMCWrapper::ImplPolicy> Jacobian(&SmearingPolicy);
+  if( ApplySmearing ) Level1.push_back(&Jacobian);
+  std::cout << GridLogMessage << " Built the Jacobian "<< std::endl;
+
+
+  /////////////////////////////////////////////////////////////
+  // Gauge action
+  /////////////////////////////////////////////////////////////
+  GaugeAction.is_smeared = ApplySmearing;
+  Level2.push_back(&GaugeAction);
+
+  std::cout << GridLogMessage << " ************************************************"<< std::endl;
+  std::cout << GridLogMessage << " Action complete -- NO FERMIONS FOR NOW -- FIXME"<< std::endl;
+  std::cout << GridLogMessage << " ************************************************"<< std::endl;
+  std::cout << GridLogMessage <<  std::endl;
+  std::cout << GridLogMessage <<  std::endl;
+
+
+  std::cout << GridLogMessage << " Running the FT HMC "<< std::endl;
+  TheHMC.TheAction.push_back(Level1);
+  TheHMC.TheAction.push_back(Level2);
+
+  TheHMC.ReadCommandLine(argc,argv);  // params on CML or from param file
+  TheHMC.initializeGaugeFieldAndRNGs(U);
+
+  TheHMC.Run(SmearingPolicy); // for smearing
+
+  Grid_finalize();
+} // main
+
+
+

HMC/HMC2p1f_3GeV.cc

@@ -0,0 +1,226 @@
+/*************************************************************************************
+
+Grid physics library, www.github.com/paboyle/Grid
+
+Copyright (C) 2023
+
+Author: Peter Boyle <pabobyle@ph.ed.ac.uk>
+
+This program is free software; you can redistribute it and/or modify
+it under the terms of the GNU General Public License as published by
+the Free Software Foundation; either version 2 of the License, or
+(at your option) any later version.
+
+This program is distributed in the hope that it will be useful,
+but WITHOUT ANY WARRANTY; without even the implied warranty of
+MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+GNU General Public License for more details.
+
+You should have received a copy of the GNU General Public License along
+with this program; if not, write to the Free Software Foundation, Inc.,
+51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
+
+See the full license in the file "LICENSE" in the top level distribution
+directory
+*************************************************************************************/
+/*  END LEGAL */
+#include <Grid/Grid.h>
+#include <Grid/qcd/smearing/GaugeConfigurationMasked.h>
+#include <Grid/qcd/smearing/JacobianAction.h>
+
+using namespace Grid;
+
+int main(int argc, char **argv)
+{
+  std::cout << std::setprecision(12);
+  
+  Grid_init(&argc, &argv);
+  int threads = GridThread::GetThreads();
+  // here make a routine to print all the relevant information on the run
+  std::cout << GridLogMessage << "Grid is setup to use " << threads << " threads" << std::endl;
+
+   // Typedefs to simplify notation
+  typedef WilsonImplR FermionImplPolicy;
+  typedef MobiusFermionD FermionAction;
+  typedef typename FermionAction::FermionField FermionField;
+
+  typedef Grid::XmlReader       Serialiser;
+
+  //::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
+  IntegratorParameters MD;
+  //  typedef GenericHMCRunner<LeapFrog> HMCWrapper;
+  //  MD.name    = std::string("Leap Frog");
+  //  typedef GenericHMCRunner<ForceGradient> HMCWrapper;
+  //  MD.name    = std::string("Force Gradient");
+  typedef GenericHMCRunner<MinimumNorm2> HMCWrapper;
+  MD.name    = std::string("MinimumNorm2");
+  MD.MDsteps = 24;
+  MD.trajL   = 1.0;
+
+  HMCparameters HMCparams;
+  HMCparams.StartTrajectory  = 0;
+  HMCparams.Trajectories     = 200;
+  HMCparams.NoMetropolisUntil=  20;
+  // "[HotStart, ColdStart, TepidStart, CheckpointStart]\n";
+  //  HMCparams.StartingType     =std::string("HotStart");
+  HMCparams.StartingType     =std::string("ColdStart");
+  //  HMCparams.StartingType     =std::string("CheckpointStart");
+  HMCparams.MD = MD;
+  HMCWrapper TheHMC(HMCparams);
+
+  // Grid from the command line arguments --grid and --mpi
+  TheHMC.Resources.AddFourDimGrid("gauge"); // use default simd lanes decomposition
+
+  CheckpointerParameters CPparams;
+  CPparams.config_prefix = "ckpoint_EODWF_lat";
+  CPparams.smeared_prefix = "ckpoint_EODWF_lat_smr";
+  CPparams.rng_prefix    = "ckpoint_EODWF_rng";
+  CPparams.saveInterval  = 1;
+  CPparams.saveSmeared   = true;
+  CPparams.format        = "IEEE64BIG";
+  TheHMC.Resources.LoadNerscCheckpointer(CPparams);
+
+  RNGModuleParameters RNGpar;
+  RNGpar.serial_seeds = "1 2 3 4 5";
+  RNGpar.parallel_seeds = "6 7 8 9 10";
+  TheHMC.Resources.SetRNGSeeds(RNGpar);
+
+  // Construct observables
+  // here there is too much indirection
+  typedef PlaquetteMod<HMCWrapper::ImplPolicy> PlaqObs;
+  TheHMC.Resources.AddObservable<PlaqObs>();
+
+  //////////////////////////////////////////////
+
+  const int Ls      = 12;
+  Real beta         = 2.37;
+  Real light_mass   = 0.0047;
+  Real strange_mass = 0.0186;
+  Real pv_mass      = 1.0;
+  RealD M5  = 1.8;
+  RealD b   = 1.0; // Scale factor one, Shamir
+  RealD c   = 0.0;
+
+  OneFlavourRationalParams OFRp;
+  OFRp.lo       = 1.0e-2;
+  OFRp.hi       = 64;
+  OFRp.MaxIter  = 10000;
+  OFRp.tolerance= 1.0e-10;
+  OFRp.degree   = 14;
+  OFRp.precision= 40;
+
+  std::vector<Real> hasenbusch({ 0.05, 0.1, 0.25, 0.5 });
+
+  auto GridPtr   = TheHMC.Resources.GetCartesian();
+  auto GridRBPtr = TheHMC.Resources.GetRBCartesian();
+  auto FGrid     = SpaceTimeGrid::makeFiveDimGrid(Ls,GridPtr);
+  auto FrbGrid   = SpaceTimeGrid::makeFiveDimRedBlackGrid(Ls,GridPtr);
+
+  IwasakiGaugeActionR GaugeAction(beta);
+
+  // temporarily need a gauge field
+  LatticeGaugeField U(GridPtr);
+  LatticeGaugeField Uhot(GridPtr);
+
+  // These lines are unecessary if BC are all periodic
+  std::vector<Complex> boundary = {1,1,1,-1};
+  FermionAction::ImplParams Params(boundary);
+
+  double StoppingCondition = 1e-10;
+  double MaxCGIterations = 30000;
+  ConjugateGradient<FermionField>  CG(StoppingCondition,MaxCGIterations);
+
+  bool ApplySmearing = false;
+  
+  ////////////////////////////////////
+  // Collect actions
+  ////////////////////////////////////
+  ActionLevel<HMCWrapper::Field> Level1(1);
+  ActionLevel<HMCWrapper::Field> Level2(2);
+
+  ////////////////////////////////////
+  // Strange action
+  ////////////////////////////////////
+
+  MobiusEOFAFermionD Strange_Op_L (U , *FGrid , *FrbGrid , *GridPtr , *GridRBPtr , strange_mass, strange_mass, pv_mass, 0.0, -1, M5, b, c);
+  MobiusEOFAFermionD Strange_Op_R (U , *FGrid , *FrbGrid , *GridPtr , *GridRBPtr , pv_mass, strange_mass,      pv_mass, -1.0, 1, M5, b, c);
+  ExactOneFlavourRatioPseudoFermionAction<FermionImplPolicy> 
+    EOFA(Strange_Op_L, Strange_Op_R, 
+	 CG,
+	 CG, CG,
+	 CG, CG, 
+	 OFRp, false);
+
+  EOFA.is_smeared = ApplySmearing;
+  Level1.push_back(&EOFA);
+
+  ////////////////////////////////////
+  // up down action
+  ////////////////////////////////////
+  std::vector<Real> light_den;
+  std::vector<Real> light_num;
+
+  int n_hasenbusch = hasenbusch.size();
+  light_den.push_back(light_mass);
+  for(int h=0;h<n_hasenbusch;h++){
+    light_den.push_back(hasenbusch[h]);
+    light_num.push_back(hasenbusch[h]);
+  }
+  light_num.push_back(pv_mass);
+
+  std::vector<FermionAction *> Numerators;
+  std::vector<FermionAction *> Denominators;
+  std::vector<TwoFlavourEvenOddRatioPseudoFermionAction<FermionImplPolicy> *> Quotients;
+
+  for(int h=0;h<n_hasenbusch+1;h++){
+    std::cout << GridLogMessage << " 2f quotient Action  "<< light_num[h] << " / " << light_den[h]<< std::endl;
+    Numerators.push_back  (new FermionAction(U,*FGrid,*FrbGrid,*GridPtr,*GridRBPtr,light_num[h],M5,b,c, Params));
+    Denominators.push_back(new FermionAction(U,*FGrid,*FrbGrid,*GridPtr,*GridRBPtr,light_den[h],M5,b,c, Params));
+    Quotients.push_back   (new TwoFlavourEvenOddRatioPseudoFermionAction<FermionImplPolicy>(*Numerators[h],*Denominators[h],CG,CG));
+  }
+
+  for(int h=0;h<n_hasenbusch+1;h++){
+    Quotients[h]->is_smeared = ApplySmearing;
+    Level1.push_back(Quotients[h]);
+  }
+
+  /////////////////////////////////////////////////////////////
+  // lnDetJacobianAction
+  /////////////////////////////////////////////////////////////
+  double rho = 0.1;  // smearing parameter
+  int Nsmear = 1;    // number of smearing levels - must be multiple of 2Nd
+  int Nstep  = 8*Nsmear;    // number of smearing levels - must be multiple of 2Nd
+  Smear_Stout<HMCWrapper::ImplPolicy> Stout(rho);
+  SmearedConfigurationMasked<HMCWrapper::ImplPolicy> SmearingPolicy(GridPtr, Nstep, Stout);
+  JacobianAction<HMCWrapper::ImplPolicy> Jacobian(&SmearingPolicy);
+  if( ApplySmearing ) Level1.push_back(&Jacobian);
+  std::cout << GridLogMessage << " Built the Jacobian "<< std::endl;
+
+
+  /////////////////////////////////////////////////////////////
+  // Gauge action
+  /////////////////////////////////////////////////////////////
+  GaugeAction.is_smeared = ApplySmearing;
+  Level2.push_back(&GaugeAction);
+
+  std::cout << GridLogMessage << " ************************************************"<< std::endl;
+  std::cout << GridLogMessage << " Action complete -- NO FERMIONS FOR NOW -- FIXME"<< std::endl;
+  std::cout << GridLogMessage << " ************************************************"<< std::endl;
+  std::cout << GridLogMessage <<  std::endl;
+  std::cout << GridLogMessage <<  std::endl;
+
+
+  std::cout << GridLogMessage << " Running the FT HMC "<< std::endl;
+  TheHMC.TheAction.push_back(Level1);
+  TheHMC.TheAction.push_back(Level2);
+
+  TheHMC.ReadCommandLine(argc,argv);  // params on CML or from param file
+  TheHMC.initializeGaugeFieldAndRNGs(U);
+
+  TheHMC.Run(SmearingPolicy); // for smearing
+
+  Grid_finalize();
+} // main
+
+
+

HMC/Mobius2p1f_DD_EOFA_96I_double.cc

@@ -0,0 +1,350 @@
+/*************************************************************************************
+
+Grid physics library, www.github.com/paboyle/Grid
+
+Source file: ./tests/Test_hmc_EODWFRatio.cc
+
+Copyright (C) 2015-2016
+
+Author: Peter Boyle <pabobyle@ph.ed.ac.uk>
+Author: Guido Cossu <guido.cossu@ed.ac.uk>
+
+This program is free software; you can redistribute it and/or modify
+it under the terms of the GNU General Public License as published by
+the Free Software Foundation; either version 2 of the License, or
+(at your option) any later version.
+
+This program is distributed in the hope that it will be useful,
+but WITHOUT ANY WARRANTY; without even the implied warranty of
+MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+GNU General Public License for more details.
+
+You should have received a copy of the GNU General Public License along
+with this program; if not, write to the Free Software Foundation, Inc.,
+51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
+
+See the full license in the file "LICENSE" in the top level distribution
+directory
+*************************************************************************************/
+/*  END LEGAL */
+#include <Grid/Grid.h>
+
+int main(int argc, char **argv) {
+  using namespace Grid;
+
+  Grid_init(&argc, &argv);
+
+  CartesianCommunicator::BarrierWorld();
+  std::cout << GridLogMessage << " Clock skew check" <<std::endl;
+  
+  int threads = GridThread::GetThreads();
+
+   // Typedefs to simplify notation
+  typedef WilsonImplD FermionImplPolicy;
+  typedef MobiusFermionD FermionAction;
+  typedef MobiusEOFAFermionD FermionEOFAAction;
+  typedef typename FermionAction::FermionField FermionField;
+
+  typedef Grid::XmlReader       Serialiser;
+
+  //::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
+  IntegratorParameters MD;
+  //  typedef GenericHMCRunner<LeapFrog> HMCWrapper;
+  //  MD.name    = std::string("Leap Frog");
+  typedef GenericHMCRunner<ForceGradient> HMCWrapper;
+  MD.name    = std::string("Force Gradient");
+  //typedef GenericHMCRunner<MinimumNorm2> HMCWrapper;
+  // MD.name    = std::string("MinimumNorm2");
+  // TrajL = 2
+  // 4/2 => 0.6 dH
+  // 3/3 => 0.8 dH .. depth 3, slower
+  //MD.MDsteps =  4;
+  MD.MDsteps =  3;
+  MD.trajL   = 0.5;
+
+  HMCparameters HMCparams;
+  HMCparams.StartTrajectory  = 1077;
+  HMCparams.Trajectories     = 1;
+  HMCparams.NoMetropolisUntil=  0;
+  // "[HotStart, ColdStart, TepidStart, CheckpointStart]\n";
+  //  HMCparams.StartingType     =std::string("ColdStart");
+  HMCparams.StartingType     =std::string("CheckpointStart");
+  HMCparams.MD = MD;
+  HMCWrapper TheHMC(HMCparams);
+
+  // Grid from the command line arguments --grid and --mpi
+  TheHMC.Resources.AddFourDimGrid("gauge"); // use default simd lanes decomposition
+
+  CheckpointerParameters CPparams;
+  CPparams.config_prefix = "ckpoint_DDHMC_lat";
+  CPparams.rng_prefix    = "ckpoint_DDHMC_rng";
+  CPparams.saveInterval  = 1;
+  CPparams.format        = "IEEE64BIG";
+  TheHMC.Resources.LoadNerscCheckpointer(CPparams);
+  std::cout << "loaded NERSC checpointer"<<std::endl;
+  RNGModuleParameters RNGpar;
+  RNGpar.serial_seeds = "1 2 3 4 5";
+  RNGpar.parallel_seeds = "6 7 8 9 10";
+  TheHMC.Resources.SetRNGSeeds(RNGpar);
+
+  // Construct observables
+  // here there is too much indirection
+  typedef PlaquetteMod<HMCWrapper::ImplPolicy> PlaqObs;
+  TheHMC.Resources.AddObservable<PlaqObs>();
+  //////////////////////////////////////////////
+
+  const int Ls      = 12;
+  RealD M5  = 1.8;
+  RealD b   = 1.5;
+  RealD c   = 0.5;
+  Real beta         = 2.13;
+  //  Real light_mass   = 5.4e-4;
+  Real light_mass     = 7.8e-4;
+  Real light_mass_dir = 0.01;
+  Real strange_mass = 0.0362;
+  Real pv_mass      = 1.0;
+  std::vector<Real> hasenbusch({ 0.01, 0.045, 0.108, 0.25, 0.51 , pv_mass });
+  //  std::vector<Real> hasenbusch({ light_mass, 0.01, 0.045, 0.108, 0.25, 0.51 , pv_mass });
+  //  std::vector<Real> hasenbusch({ light_mass, 0.005, 0.0145, 0.045, 0.108, 0.25, 0.51 , pv_mass }); // Updated
+  //  std::vector<Real> hasenbusch({ light_mass, 0.0145, 0.045, 0.108, 0.25, 0.51 , 0.75 , pv_mass });
+
+  int SP_iters=9000;
+  
+  RationalActionParams OFRp; // Up/down
+  OFRp.lo       = 6.0e-5;
+  OFRp.hi       = 90.0;
+  OFRp.inv_pow  = 2;
+  OFRp.MaxIter  = SP_iters; // get most shifts by 2000, stop sharing space
+  OFRp.action_tolerance= 1.0e-8;
+  OFRp.action_degree   = 18;
+  OFRp.md_tolerance= 1.0e-7;
+  OFRp.md_degree   = 14;
+  //  OFRp.degree   = 20; converges
+  //  OFRp.degree   = 16;
+  OFRp.precision= 80;
+  OFRp.BoundsCheckFreq=0;
+  std::vector<RealD> ActionTolByPole({
+      //      1.0e-8,1.0e-8,1.0e-8,1.0e-8,
+      3.0e-7,1.0e-7,1.0e-8,1.0e-8,
+      1.0e-8,1.0e-8,1.0e-8,1.0e-8,
+      1.0e-8,1.0e-8,1.0e-8,1.0e-8,
+      1.0e-8,1.0e-8,1.0e-8,1.0e-8,
+      1.0e-8,1.0e-8
+    });
+  std::vector<RealD> MDTolByPole({
+      //      1.6e-5,5.0e-6,1.0e-6,3.0e-7, // soften convergence more more
+      //      1.0e-6,3.0e-7,1.0e-7,1.0e-7,
+      1.0e-5,1.0e-6,1.0e-7,1.0e-7, // soften convergence
+      1.0e-8,1.0e-8,1.0e-8,1.0e-8,
+      1.0e-8,1.0e-8,1.0e-8,1.0e-8,
+      1.0e-8,1.0e-8
+    });
+
+  auto GridPtr   = TheHMC.Resources.GetCartesian();
+  auto GridRBPtr = TheHMC.Resources.GetRBCartesian();
+
+  typedef SchurDiagMooeeOperator<FermionAction ,FermionField > LinearOperatorD;
+  typedef SchurDiagMooeeOperator<FermionEOFAAction ,FermionField > LinearOperatorEOFAD;
+
+  ////////////////////////////////////////////////////////////////
+  // Domain decomposed
+  ////////////////////////////////////////////////////////////////
+  Coordinate latt4  = GridPtr->GlobalDimensions();
+  Coordinate mpi    = GridPtr->ProcessorGrid();
+  Coordinate shm;
+
+  GlobalSharedMemory::GetShmDims(mpi,shm);
+  
+  Coordinate CommDim(Nd);
+  for(int d=0;d<Nd;d++) CommDim[d]= (mpi[d]/shm[d])>1 ? 1 : 0;
+
+  Coordinate NonDirichlet(Nd+1,0);
+  Coordinate Dirichlet(Nd+1,0);
+  Dirichlet[1] = CommDim[0]*latt4[0]/mpi[0] * shm[0];
+  Dirichlet[2] = CommDim[1]*latt4[1]/mpi[1] * shm[1];
+  Dirichlet[3] = CommDim[2]*latt4[2]/mpi[2] * shm[2];
+  Dirichlet[4] = CommDim[3]*latt4[3]/mpi[3] * shm[3];
+  //Dirichlet[1] = 0;
+  //Dirichlet[2] = 0;
+  //Dirichlet[3] = 0;
+
+  // 
+  Coordinate Block4(Nd);
+  Block4[0] = Dirichlet[1];
+  Block4[1] = Dirichlet[2];
+  Block4[2] = Dirichlet[3];
+  Block4[3] = Dirichlet[4];
+
+  int Width=4;
+  TheHMC.Resources.SetMomentumFilter(new DDHMCFilter<WilsonImplD::Field>(Block4,Width));
+
+  //////////////////////////
+  // Fermion Grids
+  //////////////////////////
+  auto FGrid     = SpaceTimeGrid::makeFiveDimGrid(Ls,GridPtr);
+  auto FrbGrid   = SpaceTimeGrid::makeFiveDimRedBlackGrid(Ls,GridPtr);
+
+  IwasakiGaugeActionR GaugeAction(beta);
+
+  // temporarily need a gauge field
+  LatticeGaugeFieldD  U(GridPtr); U=Zero();
+
+  std::cout << GridLogMessage << " Running the HMC "<< std::endl;
+  TheHMC.ReadCommandLine(argc,argv);  // params on CML or from param file
+  TheHMC.initializeGaugeFieldAndRNGs(U);
+  std::cout << "loaded NERSC gauge field"<<std::endl;
+
+  // These lines are unecessary if BC are all periodic
+  std::vector<Complex> boundary = {1,1,1,-1};
+  FermionAction::ImplParams Params(boundary);
+  FermionAction::ImplParams ParamsDir(boundary);
+
+  Params.dirichlet=NonDirichlet;
+  ParamsDir.dirichlet=Dirichlet;
+  ParamsDir.partialDirichlet=0;
+  std::cout << GridLogMessage<< "Partial Dirichlet depth is "<<dwf_compressor_depth<<std::endl;
+
+  //  double StoppingCondition = 1e-14;
+  //  double MDStoppingCondition = 1e-9;
+  double StoppingCondition = 1e-8;
+  double MDStoppingCondition = 1e-8;
+  double MDStoppingConditionLoose = 1e-8;
+  double MDStoppingConditionStrange = 1e-8;
+  double MaxCGIterations = 300000;
+  ConjugateGradient<FermionField>  CG(StoppingCondition,MaxCGIterations);
+  ConjugateGradient<FermionField>  MDCG(MDStoppingCondition,MaxCGIterations);
+
+  ////////////////////////////////////
+  // Collect actions
+  ////////////////////////////////////
+  ActionLevel<HMCWrapper::Field> Level1(1);
+  ActionLevel<HMCWrapper::Field> Level2(3);
+  ActionLevel<HMCWrapper::Field> Level3(15);
+
+  ////////////////////////////////////
+  // Strange action
+  ////////////////////////////////////
+  FermionAction StrangeOp (U,*FGrid,*FrbGrid,*GridPtr,*GridRBPtr,strange_mass,M5,b,c, Params);
+  FermionAction StrangePauliVillarsOp(U,*FGrid,*FrbGrid,*GridPtr,*GridRBPtr,pv_mass,  M5,b,c, Params);
+
+  // Probably dominates the force - back to EOFA.
+  OneFlavourRationalParams SFRp;
+  SFRp.lo       = 0.1;
+  SFRp.hi       = 25.0;
+  SFRp.MaxIter  = 10000;
+  SFRp.tolerance= 1.0e-8;
+  SFRp.mdtolerance= 2.0e-6;
+  SFRp.degree   = 12;
+  SFRp.precision= 50;
+  
+  MobiusEOFAFermionD Strange_Op_L (U , *FGrid , *FrbGrid , *GridPtr , *GridRBPtr , strange_mass, strange_mass, pv_mass, 0.0, -1, M5, b, c);
+  MobiusEOFAFermionD Strange_Op_R (U , *FGrid , *FrbGrid , *GridPtr , *GridRBPtr , pv_mass, strange_mass,      pv_mass, -1.0, 1, M5, b, c);
+  ConjugateGradient<FermionField>      ActionCG(StoppingCondition,MaxCGIterations);
+  ConjugateGradient<FermionField>  DerivativeCG(MDStoppingCondition,MaxCGIterations);
+  LinearOperatorEOFAD Strange_LinOp_L (Strange_Op_L);
+  LinearOperatorEOFAD Strange_LinOp_R (Strange_Op_R);
+
+  ExactOneFlavourRatioPseudoFermionAction<FermionImplPolicy> 
+    EOFA(Strange_Op_L, Strange_Op_R, 
+	 ActionCG, 
+	 ActionCG, ActionCG,
+	 DerivativeCG, DerivativeCG,
+	 SFRp, true);
+  Level2.push_back(&EOFA);
+
+  ////////////////////////////////////
+  // up down action
+  ////////////////////////////////////
+  std::vector<Real> light_den;
+  std::vector<Real> light_num;
+  std::vector<int> dirichlet_den;
+  std::vector<int> dirichlet_num;
+
+  int n_hasenbusch = hasenbusch.size();
+  light_den.push_back(light_mass);  dirichlet_den.push_back(0);
+  for(int h=0;h<n_hasenbusch;h++){
+    light_den.push_back(hasenbusch[h]); dirichlet_den.push_back(1);
+  }
+
+  for(int h=0;h<n_hasenbusch;h++){
+    light_num.push_back(hasenbusch[h]); dirichlet_num.push_back(1);
+  }
+  light_num.push_back(pv_mass);  dirichlet_num.push_back(0);
+
+  std::vector<FermionAction *> Numerators;
+  std::vector<FermionAction *> Denominators;
+  std::vector<TwoFlavourEvenOddRatioPseudoFermionAction<FermionImplPolicy> *> Quotients;
+  
+  std::vector<GeneralEvenOddRatioRationalPseudoFermionAction<FermionImplPolicy> *> Bdys;
+
+  typedef SchurDiagMooeeOperator<FermionAction ,FermionField > LinearOperatorD;
+  std::vector<LinearOperatorD *> LinOpD;
+  
+  for(int h=0;h<n_hasenbusch+1;h++){
+    std::cout << GridLogMessage
+	      << " 2f quotient Action ";
+    std::cout << "det D("<<light_den[h]<<")";
+    if ( dirichlet_den[h] ) std::cout << "^dirichlet    ";
+    std::cout << "/ det D("<<light_num[h]<<")";
+    if ( dirichlet_num[h] ) std::cout << "^dirichlet    ";
+    std::cout << std::endl;
+
+    FermionAction::ImplParams ParamsNum(boundary);
+    FermionAction::ImplParams ParamsDen(boundary);
+    
+    if ( dirichlet_num[h]==1) ParamsNum.dirichlet = Dirichlet;
+    else                      ParamsNum.dirichlet = NonDirichlet;
+
+    if ( dirichlet_den[h]==1) ParamsDen.dirichlet = Dirichlet;
+    else                      ParamsDen.dirichlet = NonDirichlet;
+
+    if ( dirichlet_num[h]==1) ParamsNum.partialDirichlet = 1;
+    else                      ParamsNum.partialDirichlet = 0;
+
+    if ( dirichlet_den[h]==1) ParamsDen.partialDirichlet = 1;
+    else                      ParamsDen.partialDirichlet = 0;
+    
+    Numerators.push_back  (new FermionAction(U,*FGrid,*FrbGrid,*GridPtr,*GridRBPtr,light_num[h],M5,b,c, ParamsNum));
+    Denominators.push_back(new FermionAction(U,*FGrid,*FrbGrid,*GridPtr,*GridRBPtr,light_den[h],M5,b,c, ParamsDen));
+
+    LinOpD.push_back(new LinearOperatorD(*Denominators[h]));
+
+    double conv  = MDStoppingCondition;
+    if (h<3) conv= MDStoppingConditionLoose; // Relax on first two hasenbusch factors
+    
+    if(h!=0) {
+      Quotients.push_back (new TwoFlavourEvenOddRatioPseudoFermionAction<FermionImplPolicy>(*Numerators[h],*Denominators[h],MDCG,CG));
+    } else {
+      Bdys.push_back( new GeneralEvenOddRatioRationalPseudoFermionAction<FermionImplPolicy>(*Numerators[h],*Denominators[h],OFRp));
+      Bdys.push_back( new GeneralEvenOddRatioRationalPseudoFermionAction<FermionImplPolicy>(*Numerators[h],*Denominators[h],OFRp));
+    }
+  }
+  for(int h=0;h<Bdys.size();h++){
+    Bdys[h]->SetTolerances(ActionTolByPole,MDTolByPole);
+  }
+  int nquo=Quotients.size();
+  Level1.push_back(Bdys[0]);
+  Level1.push_back(Bdys[1]);
+  Level2.push_back(Quotients[0]);
+  for(int h=1;h<nquo-1;h++){
+    Level2.push_back(Quotients[h]);
+  }
+  Level2.push_back(Quotients[nquo-1]);
+
+  /////////////////////////////////////////////////////////////
+  // Gauge action
+  /////////////////////////////////////////////////////////////
+  Level3.push_back(&GaugeAction);
+  TheHMC.TheAction.push_back(Level1);
+  TheHMC.TheAction.push_back(Level2);
+  TheHMC.TheAction.push_back(Level3);
+  std::cout << GridLogMessage << " Action complete "<< std::endl;
+  /////////////////////////////////////////////////////////////
+
+  TheHMC.Run();  // no smearing
+
+  Grid_finalize();
+} // main
+
+
+

HMC/Mobius2p1f_DD_EOFA_96I_mixed.cc

@@ -343,7 +343,7 @@ int main(int argc, char **argv) {
   // Probably dominates the force - back to EOFA.
   OneFlavourRationalParams SFRp;
   SFRp.lo       = 0.1;
-  SFRp.hi       = 25.0;
+  SFRp.hi       = 30.0;
   SFRp.MaxIter  = 10000;
   SFRp.tolerance= 1.0e-5;
   SFRp.mdtolerance= 2.0e-4;

HMC/Mobius2p1f_EOFA_96I_hmc.cc

@@ -128,7 +128,7 @@ template<class FermionOperatorD, class FermionOperatorF, class SchurOperatorD, c
       ////////////////////////////////////////////////////////////////////////////////////
       // Make a mixed precision conjugate gradient
       ////////////////////////////////////////////////////////////////////////////////////
-#if 1
+#if 0
       RealD delta=1.e-4;
       std::cout << GridLogMessage << "Calling reliable update Conjugate Gradient" <<std::endl;
       ConjugateGradientReliableUpdate<FieldD,FieldF> MPCG(Tolerance,MaxInnerIterations*MaxOuterIterations,delta,SinglePrecGrid5,LinOpF,LinOpD);
@@ -180,7 +180,7 @@ int main(int argc, char **argv) {
   // 4/2 => 0.6 dH
   // 3/3 => 0.8 dH .. depth 3, slower
   //MD.MDsteps =  4;
-  MD.MDsteps =  14;
+  MD.MDsteps =  12;
   MD.trajL   = 0.5;
 
   HMCparameters HMCparams;
@@ -204,7 +204,7 @@ int main(int argc, char **argv) {
   TheHMC.Resources.LoadNerscCheckpointer(CPparams);
   std::cout << "loaded NERSC checpointer"<<std::endl;
   RNGModuleParameters RNGpar;
-  RNGpar.serial_seeds = "1 2 3 4 5";
+  RNGpar.serial_seeds = "1 2 3 4 5 6 7 8 9 10";
   RNGpar.parallel_seeds = "6 7 8 9 10";
   TheHMC.Resources.SetRNGSeeds(RNGpar);
 
@@ -218,15 +218,14 @@ int main(int argc, char **argv) {
   RealD M5  = 1.8;
   RealD b   = 1.5;
   RealD c   = 0.5;
-  Real beta         = 2.13;
+  RealD beta         = 2.13;
   //  Real light_mass   = 5.4e-4;
   Real light_mass     = 7.8e-4;
+  //  Real light_mass     = 7.8e-3;
   Real strange_mass = 0.0362;
   Real pv_mass      = 1.0;
-  //  std::vector<Real> hasenbusch({ 0.01, 0.045, 0.108, 0.25, 0.51 , pv_mass });
-  //  std::vector<Real> hasenbusch({ light_mass, 0.01, 0.045, 0.108, 0.25, 0.51 , pv_mass });
-  std::vector<Real> hasenbusch({ 0.005, 0.0145, 0.045, 0.108, 0.25, 0.51 }); // Updated
-  //  std::vector<Real> hasenbusch({ light_mass, 0.0145, 0.045, 0.108, 0.25, 0.51 , 0.75 , pv_mass });
+  std::vector<Real> hasenbusch({ 0.005, 0.0145, 0.045, 0.108, 0.25, 0.35 , 0.51, 0.6, 0.8 }); // Updated
+  //std::vector<Real> hasenbusch({ 0.0145, 0.045, 0.108, 0.25, 0.35 , 0.51, 0.6, 0.8 }); // Updated
 
   auto GridPtr   = TheHMC.Resources.GetCartesian();
   auto GridRBPtr = TheHMC.Resources.GetRBCartesian();
@@ -277,20 +276,20 @@ int main(int argc, char **argv) {
 
   //  double StoppingCondition = 1e-14;
   //  double MDStoppingCondition = 1e-9;
-  double StoppingCondition = 1e-9;
-  double MDStoppingCondition = 1e-8;
-  double MDStoppingConditionLoose = 1e-8;
-  double MDStoppingConditionStrange = 1e-8;
-  double MaxCGIterations = 300000;
+  double StoppingCondition = 1e-14;
+  double MDStoppingCondition = 1e-9;
+  double MDStoppingConditionLoose = 1e-9;
+  double MDStoppingConditionStrange = 1e-9;
+  double MaxCGIterations = 50000;
   ConjugateGradient<FermionField>  CG(StoppingCondition,MaxCGIterations);
   ConjugateGradient<FermionField>  MDCG(MDStoppingCondition,MaxCGIterations);
 
   ////////////////////////////////////
   // Collect actions
   ////////////////////////////////////
-  //  ActionLevel<HMCWrapper::Field> Level1(1);
-  ActionLevel<HMCWrapper::Field> Level2(1);
-  ActionLevel<HMCWrapper::Field> Level3(15);
+  ActionLevel<HMCWrapper::Field> Level1(1);
+  ActionLevel<HMCWrapper::Field> Level2(2);
+  ActionLevel<HMCWrapper::Field> Level3(4);
 
   ////////////////////////////////////
   // Strange action
@@ -300,11 +299,11 @@ int main(int argc, char **argv) {
 
   // Probably dominates the force - back to EOFA.
   OneFlavourRationalParams SFRp;
-  SFRp.lo       = 0.1;
+  SFRp.lo       = 0.8;
   SFRp.hi       = 30.0;
   SFRp.MaxIter  = 10000;
-  SFRp.tolerance= 1.0e-8;
-  SFRp.mdtolerance= 2.0e-6;
+  SFRp.tolerance= 1.0e-12;
+  SFRp.mdtolerance= 1.0e-9;
   SFRp.degree   = 10;
   SFRp.precision= 50;
   
@@ -355,8 +354,10 @@ int main(int argc, char **argv) {
   ExactOneFlavourRatioPseudoFermionAction<FermionImplPolicy> 
     EOFA(Strange_Op_L, Strange_Op_R, 
 	 ActionCG, 
-	 ActionCGL, ActionCGR,
-	 DerivativeCGL, DerivativeCGR,
+	 //	 ActionCGL, ActionCGR,
+	 //	 DerivativeCGL, DerivativeCGR,
+	 ActionCG, ActionCG,
+	 DerivativeCG, DerivativeCG,
 	 SFRp, true);
   Level2.push_back(&EOFA);
 
@@ -443,13 +444,14 @@ int main(int argc, char **argv) {
   }
   int nquo=Quotients.size();
   for(int h=0;h<nquo;h++){
-    Level2.push_back(Quotients[h]);
+    Level1.push_back(Quotients[h]);
   }
 
   /////////////////////////////////////////////////////////////
   // Gauge action
   /////////////////////////////////////////////////////////////
   Level3.push_back(&GaugeAction);
+  TheHMC.TheAction.push_back(Level1);
   TheHMC.TheAction.push_back(Level2);
   TheHMC.TheAction.push_back(Level3);
   std::cout << GridLogMessage << " Action complete "<< std::endl;

HMC/Mobius2p1f_EOFA_96I_hmc_double.cc

@@ -0,0 +1,268 @@
+/*************************************************************************************
+
+Grid physics library, www.github.com/paboyle/Grid
+
+Source file: ./tests/Test_hmc_EODWFRatio.cc
+
+Copyright (C) 2015-2016
+
+Author: Peter Boyle <pabobyle@ph.ed.ac.uk>
+Author: Guido Cossu <guido.cossu@ed.ac.uk>
+
+This program is free software; you can redistribute it and/or modify
+it under the terms of the GNU General Public License as published by
+the Free Software Foundation; either version 2 of the License, or
+(at your option) any later version.
+
+This program is distributed in the hope that it will be useful,
+but WITHOUT ANY WARRANTY; without even the implied warranty of
+MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+GNU General Public License for more details.
+
+You should have received a copy of the GNU General Public License along
+with this program; if not, write to the Free Software Foundation, Inc.,
+51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
+
+See the full license in the file "LICENSE" in the top level distribution
+directory
+*************************************************************************************/
+/*  END LEGAL */
+#include <Grid/Grid.h>
+
+
+
+int main(int argc, char **argv) {
+  using namespace Grid;
+
+  std::cout << " Grid Initialise "<<std::endl;
+  
+  Grid_init(&argc, &argv);
+
+  CartesianCommunicator::BarrierWorld();
+  std::cout << GridLogMessage << " Clock skew check" <<std::endl;
+  
+  int threads = GridThread::GetThreads();
+
+   // Typedefs to simplify notation
+  typedef WilsonImplD FermionImplPolicy;
+  typedef MobiusFermionD FermionAction;
+  typedef MobiusEOFAFermionD FermionEOFAAction;
+  typedef typename FermionAction::FermionField FermionField;
+
+  typedef WilsonImplF FermionImplPolicyF;
+  typedef MobiusFermionF FermionActionF;
+  typedef MobiusEOFAFermionF FermionEOFAActionF;
+  typedef typename FermionActionF::FermionField FermionFieldF;
+
+  typedef Grid::XmlReader       Serialiser;
+
+  //::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
+  IntegratorParameters MD;
+  //  typedef GenericHMCRunner<LeapFrog> HMCWrapper;
+  //  MD.name    = std::string("Leap Frog");
+  typedef GenericHMCRunner<ForceGradient> HMCWrapper;
+  MD.name    = std::string("Force Gradient");
+  //  typedef GenericHMCRunner<MinimumNorm2> HMCWrapper;
+  //  MD.name    = std::string("MinimumNorm2");
+  // TrajL = 2
+  // 4/2 => 0.6 dH
+  // 3/3 => 0.8 dH .. depth 3, slower
+  //MD.MDsteps =  4;
+  MD.MDsteps =  8;
+  MD.trajL   = 0.5;
+
+  HMCparameters HMCparams;
+  HMCparams.StartTrajectory  = 1077;
+  HMCparams.Trajectories     = 20;
+  HMCparams.NoMetropolisUntil=  0;
+  // "[HotStart, ColdStart, TepidStart, CheckpointStart]\n";
+  HMCparams.StartingType     =std::string("ColdStart");
+  //  HMCparams.StartingType     =std::string("CheckpointStart");
+  HMCparams.MD = MD;
+  HMCWrapper TheHMC(HMCparams);
+
+  // Grid from the command line arguments --grid and --mpi
+  TheHMC.Resources.AddFourDimGrid("gauge"); // use default simd lanes decomposition
+
+  CheckpointerParameters CPparams;
+  CPparams.config_prefix = "ckpoint_HMC_lat";
+  CPparams.rng_prefix    = "ckpoint_HMC_rng";
+  CPparams.saveInterval  = 1;
+  CPparams.format        = "IEEE64BIG";
+  TheHMC.Resources.LoadNerscCheckpointer(CPparams);
+  std::cout << "loaded NERSC checpointer"<<std::endl;
+  RNGModuleParameters RNGpar;
+  RNGpar.serial_seeds = "1 2 3 4 5 6 7 8 9 10";
+  RNGpar.parallel_seeds = "6 7 8 9 10";
+  TheHMC.Resources.SetRNGSeeds(RNGpar);
+
+  // Construct observables
+  // here there is too much indirection
+  typedef PlaquetteMod<HMCWrapper::ImplPolicy> PlaqObs;
+  TheHMC.Resources.AddObservable<PlaqObs>();
+  //////////////////////////////////////////////
+
+  const int Ls      = 12;
+  RealD M5  = 1.8;
+  RealD b   = 1.5;
+  RealD c   = 0.5;
+  RealD beta         = 2.13;
+  //  Real light_mass   = 5.4e-4;
+  Real light_mass     = 7.8e-4;
+  //  Real light_mass     = 7.8e-3;
+  Real strange_mass = 0.0362;
+  Real pv_mass      = 1.0;
+  std::vector<Real> hasenbusch({ 0.005, 0.0145, 0.045, 0.108, 0.25, 0.35 , 0.51, 0.6, 0.8 }); // Updated
+  //std::vector<Real> hasenbusch({ 0.0145, 0.045, 0.108, 0.25, 0.35 , 0.51, 0.6, 0.8 }); // Updated
+
+  auto GridPtr   = TheHMC.Resources.GetCartesian();
+  auto GridRBPtr = TheHMC.Resources.GetRBCartesian();
+
+  typedef SchurDiagMooeeOperator<FermionAction ,FermionField > LinearOperatorD;
+  typedef SchurDiagMooeeOperator<FermionEOFAAction ,FermionField > LinearOperatorEOFAD;
+
+  ////////////////////////////////////////////////////////////////
+  // Domain decomposed
+  ////////////////////////////////////////////////////////////////
+  Coordinate latt4  = GridPtr->GlobalDimensions();
+  Coordinate mpi    = GridPtr->ProcessorGrid();
+  Coordinate shm;
+
+  GlobalSharedMemory::GetShmDims(mpi,shm);
+
+  //////////////////////////
+  // Fermion Grids
+  //////////////////////////
+  auto FGrid     = SpaceTimeGrid::makeFiveDimGrid(Ls,GridPtr);
+  auto FrbGrid   = SpaceTimeGrid::makeFiveDimRedBlackGrid(Ls,GridPtr);
+
+  IwasakiGaugeActionR GaugeAction(beta);
+
+  // temporarily need a gauge field
+  LatticeGaugeFieldD  U(GridPtr); U=Zero();
+
+  std::cout << GridLogMessage << " Running the HMC "<< std::endl;
+  TheHMC.ReadCommandLine(argc,argv);  // params on CML or from param file
+  TheHMC.initializeGaugeFieldAndRNGs(U);
+  std::cout << "loaded NERSC gauge field"<<std::endl;
+
+  // These lines are unecessary if BC are all periodic
+  std::vector<Complex> boundary = {1,1,1,-1};
+  FermionAction::ImplParams Params(boundary);
+
+  //  double StoppingCondition = 1e-14;
+  //  double MDStoppingCondition = 1e-9;
+  double StoppingCondition = 1e-14;
+  double MDStoppingCondition = 1e-9;
+  double MDStoppingConditionLoose = 1e-9;
+  double MDStoppingConditionStrange = 1e-9;
+  double MaxCGIterations = 50000;
+  ConjugateGradient<FermionField>  CG(StoppingCondition,MaxCGIterations);
+  ConjugateGradient<FermionField>  MDCG(MDStoppingCondition,MaxCGIterations);
+
+  ////////////////////////////////////
+  // Collect actions
+  ////////////////////////////////////
+  ActionLevel<HMCWrapper::Field> Level1(1);
+  ActionLevel<HMCWrapper::Field> Level2(2);
+  ActionLevel<HMCWrapper::Field> Level3(4);
+
+  ////////////////////////////////////
+  // Strange action
+  ////////////////////////////////////
+  FermionAction StrangeOp (U,*FGrid,*FrbGrid,*GridPtr,*GridRBPtr,strange_mass,M5,b,c, Params);
+  FermionAction StrangePauliVillarsOp(U,*FGrid,*FrbGrid,*GridPtr,*GridRBPtr,pv_mass,  M5,b,c, Params);
+
+  // Probably dominates the force - back to EOFA.
+  OneFlavourRationalParams SFRp;
+  SFRp.lo       = 0.8;
+  SFRp.hi       = 30.0;
+  SFRp.MaxIter  = 10000;
+  SFRp.tolerance= 1.0e-12;
+  SFRp.mdtolerance= 1.0e-9;
+  SFRp.degree   = 10;
+  SFRp.precision= 50;
+  
+  MobiusEOFAFermionD Strange_Op_L (U , *FGrid , *FrbGrid , *GridPtr , *GridRBPtr , strange_mass, strange_mass, pv_mass, 0.0, -1, M5, b, c);
+  MobiusEOFAFermionD Strange_Op_R (U , *FGrid , *FrbGrid , *GridPtr , *GridRBPtr , pv_mass, strange_mass,      pv_mass, -1.0, 1, M5, b, c);
+  ConjugateGradient<FermionField>      ActionCG(StoppingCondition,MaxCGIterations);
+  ConjugateGradient<FermionField>  DerivativeCG(MDStoppingCondition,MaxCGIterations);
+  LinearOperatorEOFAD Strange_LinOp_L (Strange_Op_L);
+  LinearOperatorEOFAD Strange_LinOp_R (Strange_Op_R);
+
+  ExactOneFlavourRatioPseudoFermionAction<FermionImplPolicy> 
+    EOFA(Strange_Op_L, Strange_Op_R, 
+	 ActionCG, 
+	 ActionCG, ActionCG,
+	 DerivativeCG, DerivativeCG,
+	 SFRp, true);
+  Level2.push_back(&EOFA);
+
+  ////////////////////////////////////
+  // up down action
+  ////////////////////////////////////
+  std::vector<Real> light_den;
+  std::vector<Real> light_num;
+
+  int n_hasenbusch = hasenbusch.size();
+  light_den.push_back(light_mass); 
+  for(int h=0;h<n_hasenbusch;h++){
+    light_den.push_back(hasenbusch[h]);
+  }
+
+  for(int h=0;h<n_hasenbusch;h++){
+    light_num.push_back(hasenbusch[h]);
+  }
+  light_num.push_back(pv_mass);
+
+  std::vector<FermionAction *> Numerators;
+  std::vector<FermionAction *> Denominators;
+  std::vector<TwoFlavourEvenOddRatioPseudoFermionAction<FermionImplPolicy> *> Quotients;
+  
+  std::vector<OneFlavourEvenOddRatioRationalPseudoFermionAction<FermionImplPolicy> *> Bdys;
+
+  typedef SchurDiagMooeeOperator<FermionAction ,FermionField > LinearOperatorD;
+  std::vector<LinearOperatorD *> LinOpD;
+  
+  for(int h=0;h<n_hasenbusch+1;h++){
+    std::cout << GridLogMessage
+	      << " 2f quotient Action ";
+    std::cout << "det D("<<light_den[h]<<")";
+    std::cout << "/ det D("<<light_num[h]<<")";
+    std::cout << std::endl;
+
+    FermionAction::ImplParams ParamsNum(boundary);
+    FermionAction::ImplParams ParamsDen(boundary);
+    
+    Numerators.push_back  (new FermionAction(U,*FGrid,*FrbGrid,*GridPtr,*GridRBPtr,light_num[h],M5,b,c, ParamsNum));
+    Denominators.push_back(new FermionAction(U,*FGrid,*FrbGrid,*GridPtr,*GridRBPtr,light_den[h],M5,b,c, ParamsDen));
+
+    LinOpD.push_back(new LinearOperatorD(*Denominators[h]));
+
+    double conv  = MDStoppingCondition;
+    if (h<3) conv= MDStoppingConditionLoose; // Relax on first two hasenbusch factors
+    
+    Quotients.push_back (new TwoFlavourEvenOddRatioPseudoFermionAction<FermionImplPolicy>(*Numerators[h],*Denominators[h],MDCG,CG,CG));
+  }
+  int nquo=Quotients.size();
+  for(int h=0;h<nquo;h++){
+    Level1.push_back(Quotients[h]);
+  }
+
+  /////////////////////////////////////////////////////////////
+  // Gauge action
+  /////////////////////////////////////////////////////////////
+  Level3.push_back(&GaugeAction);
+  TheHMC.TheAction.push_back(Level1);
+  TheHMC.TheAction.push_back(Level2);
+  TheHMC.TheAction.push_back(Level3);
+  std::cout << GridLogMessage << " Action complete "<< std::endl;
+  /////////////////////////////////////////////////////////////
+
+  TheHMC.Run();  // no smearing
+
+  Grid_finalize();
+} // main
+
+
+

MPI_benchmark/bench2.pbs

@@ -0,0 +1,22 @@
+#!/bin/bash
+#PBS -q EarlyAppAccess
+#PBS -l select=2
+#PBS -l walltime=01:00:00
+#PBS -A LatticeQCD_aesp_CNDA
+
+export TZ='/usr/share/zoneinfo/US/Central'
+export OMP_PROC_BIND=spread
+export OMP_NUM_THREADS=3
+unset OMP_PLACES
+
+cd $PBS_O_WORKDIR
+
+NNODES=`wc -l < $PBS_NODEFILE`
+NRANKS=12         # Number of MPI ranks per node
+NDEPTH=4          # Number of hardware threads per rank, spacing between MPI ranks on a node
+NTHREADS=$OMP_NUM_THREADS # Number of OMP threads per rank, given to OMP_NUM_THREADS
+
+NTOTRANKS=$(( NNODES * NRANKS ))
+
+CMD="mpiexec -np 2 -ppn 1  -envall ./gpu_tile_compact.sh ./halo_mpi --mpi 2.1.1.1"
+$CMD

MPI_benchmark/compile-command

@@ -0,0 +1 @@
+mpicxx  -fsycl halo_mpi.cc -o halo_mpi

MPI_benchmark/gpu_tile_compact.sh

@@ -0,0 +1,30 @@
+#!/bin/bash
+
+export NUMA_PMAP=(2 2 2 3 3 3 2 2 2 3 3 3 )
+export NUMA_MAP=(0 0 0 1 1 1 0 0 0 1 1 1 )
+export  GPU_MAP=(0 1 2 3 4 5 0 1 2 3 4 5 )
+export TILE_MAP=(0 0 0 0 0 0 1 1 1 1 1 1 )
+
+export PNUMA=${NUMA_PMAP[$PALS_LOCAL_RANKID]}
+export NUMA=${NUMA_MAP[$PALS_LOCAL_RANKID]}
+export gpu_id=${GPU_MAP[$PALS_LOCAL_RANKID]}
+export tile_id=${TILE_MAP[$PALS_LOCAL_RANKID]}
+  
+
+export ZE_AFFINITY_MASK=$gpu_id.$tile_id
+export ONEAPI_DEVICE_FILTER=gpu,level_zero
+
+#unset EnableWalkerPartition
+#export EnableImplicitScaling=0
+#export GRID_MPICH_NIC_BIND=$NIC
+#export ONEAPI_DEVICE_SELECTOR=level_zero:$gpu_id.$tile_id
+#export ZE_ENABLE_PCI_ID_DEVICE_ORDER=1
+#export SYCL_PI_LEVEL_ZERO_DEVICE_SCOPE_EVENTS=0
+#export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
+#export SYCL_PI_LEVEL_ZERO_USE_COPY_ENGINE=0:2
+#export SYCL_PI_LEVEL_ZERO_USE_COPY_ENGINE_FOR_D2D_COPY=1
+#export SYCL_PI_LEVEL_ZERO_USM_RESIDENT=1
+
+echo "rank $PALS_RANKID ; local rank $PALS_LOCAL_RANKID ; ZE_AFFINITY_MASK=$ZE_AFFINITY_MASK ; NUMA $NUMA "
+
+numactl -m $PNUMA -N $NUMA  "$@"

MPI_benchmark/halo_mpi.cc

@@ -0,0 +1,333 @@
+#include <cassert>
+#include <complex>
+#include <memory>
+#include <vector>
+#include <algorithm>
+#include <array>
+#include <string>
+#include <stdio.h>
+#include <stdlib.h>
+#include <strings.h>
+#include <ctime>
+#include <sys/time.h>
+
+#include <mpi.h>
+
+/**************************************************************
+ * GPU - GPU memory cartesian halo exchange benchmark
+ * Config: what is the target
+ **************************************************************
+ */
+#undef ACC_CUDA
+#undef  ACC_HIP
+#define  ACC_SYCL
+#undef  ACC_NONE
+
+/**************************************************************
+ * Some MPI globals
+ **************************************************************
+ */
+MPI_Comm WorldComm;
+MPI_Comm WorldShmComm;
+
+int WorldSize;
+int WorldRank;
+
+int WorldShmSize;
+int WorldShmRank;
+
+/**************************************************************
+ * Allocate buffers on the GPU, SYCL needs an init call and context
+ **************************************************************
+ */
+#ifdef ACC_CUDA
+#include <cuda.h>
+void acceleratorInit(void){}
+void *acceleratorAllocDevice(size_t bytes)
+{
+  void *ptr=NULL;
+  auto err = cudaMalloc((void **)&ptr,bytes);
+  assert(err==cudaSuccess);
+  return ptr;
+}
+void acceleratorFreeDevice(void *ptr){  cudaFree(ptr);}
+#endif
+#ifdef ACC_HIP
+#include <hip/hip_runtime.h>
+void acceleratorInit(void){}
+inline void *acceleratorAllocDevice(size_t bytes)
+{
+  void *ptr=NULL;
+  auto err = hipMalloc((void **)&ptr,bytes);
+  if( err != hipSuccess ) {
+    ptr = (void *) NULL;
+    printf(" hipMalloc failed for %ld %s \n",bytes,hipGetErrorString(err));
+  }
+  return ptr;
+};
+inline void acceleratorFreeDevice(void *ptr){ auto r=hipFree(ptr);};
+#endif
+#ifdef ACC_SYCL
+#include <sycl/CL/sycl.hpp>
+#include <sycl/usm.hpp>
+cl::sycl::queue *theAccelerator;
+void acceleratorInit(void)
+{
+  int nDevices = 1;
+#if 1
+  cl::sycl::gpu_selector selector;
+  cl::sycl::device selectedDevice { selector };
+  theAccelerator = new sycl::queue (selectedDevice);
+#else
+  cl::sycl::device selectedDevice {cl::sycl::gpu_selector_v  };
+  theAccelerator = new sycl::queue (selectedDevice);
+#endif
+  auto name = theAccelerator->get_device().get_info<sycl::info::device::name>();
+  printf("AcceleratorSyclInit: Selected device is %s\n",name.c_str()); fflush(stdout);
+}
+inline void *acceleratorAllocDevice(size_t bytes){ return malloc_device(bytes,*theAccelerator);};
+inline void acceleratorFreeDevice(void *ptr){free(ptr,*theAccelerator);};
+#endif
+#ifdef ACC_NONE
+void acceleratorInit(void){}
+inline void *acceleratorAllocDevice(size_t bytes){ return malloc(bytes);};
+inline void acceleratorFreeDevice(void *ptr){free(ptr);};
+#endif
+
+
+/**************************************************************
+ * Microsecond timer
+ **************************************************************
+ */
+inline double usecond(void) {
+  struct timeval tv;
+  gettimeofday(&tv,NULL);
+  return 1.0e6*tv.tv_sec + 1.0*tv.tv_usec;
+}
+/**************************************************************
+ * Main benchmark routine
+ **************************************************************
+ */
+void Benchmark(int64_t L,std::vector<int> cart_geom,bool use_device,int ncall)
+{
+  int64_t words = 3*4*2;
+  int64_t face,vol;
+  int Nd=cart_geom.size();
+  
+  /**************************************************************
+   * L^Nd volume, L^(Nd-1) faces, 12 complex per site
+   * Allocate memory for these
+   **************************************************************
+   */
+  face=1; for( int d=0;d<Nd-1;d++) face = face*L;
+  vol=1;  for( int d=0;d<Nd;d++) vol = vol*L;
+
+  
+  std::vector<void *> send_bufs;
+  std::vector<void *> recv_bufs;
+  size_t vw = face*words;
+  size_t bytes = face*words*sizeof(double);
+
+  if ( use_device ) {
+    for(int d=0;d<2*Nd;d++){
+      send_bufs.push_back(acceleratorAllocDevice(bytes));
+      recv_bufs.push_back(acceleratorAllocDevice(bytes));
+    }
+  } else {
+    for(int d=0;d<2*Nd;d++){
+      send_bufs.push_back(malloc(bytes));
+      recv_bufs.push_back(malloc(bytes));
+    }
+  }
+  /*********************************************************
+   * Build cartesian communicator
+   *********************************************************
+   */
+  int ierr;
+  int rank;
+  std::vector<int> coor(Nd);
+  MPI_Comm communicator;
+  std::vector<int> periodic(Nd,1);
+  MPI_Cart_create(WorldComm,Nd,&cart_geom[0],&periodic[0],0,&communicator);
+  MPI_Comm_rank(communicator,&rank);
+  MPI_Cart_coords(communicator,rank,Nd,&coor[0]);
+
+  static int reported;
+  if ( ! reported ) { 
+    printf("World Rank %d Shm Rank %d CartCoor %d %d %d %d\n",WorldRank,WorldShmRank,
+	 coor[0],coor[1],coor[2],coor[3]); fflush(stdout);
+    reported =1 ;
+  }
+  /*********************************************************
+   * Perform halo exchanges
+   *********************************************************
+   */
+  for(int d=0;d<Nd;d++){
+    if ( cart_geom[d]>1 ) {
+      double t0=usecond();
+
+      int from,to;
+      
+      MPI_Barrier(communicator);
+      for(int n=0;n<ncall;n++){
+	
+	void *xmit = (void *)send_bufs[d];
+	void *recv = (void *)recv_bufs[d];
+	
+	ierr=MPI_Cart_shift(communicator,d,1,&from,&to);
+	assert(ierr==0);
+	
+	ierr=MPI_Sendrecv(xmit,bytes,MPI_CHAR,to,rank,
+			  recv,bytes,MPI_CHAR,from, from,
+			  communicator,MPI_STATUS_IGNORE);
+	assert(ierr==0);
+	
+	xmit = (void *)send_bufs[Nd+d];
+	recv = (void *)recv_bufs[Nd+d];
+	
+	ierr=MPI_Cart_shift(communicator,d,-1,&from,&to);
+	assert(ierr==0);
+	
+	ierr=MPI_Sendrecv(xmit,bytes,MPI_CHAR,to,rank,
+			  recv,bytes,MPI_CHAR,from, from,
+			  communicator,MPI_STATUS_IGNORE);
+	assert(ierr==0);
+      }
+      MPI_Barrier(communicator);
+
+      double t1=usecond();
+      
+      double dbytes    = bytes*WorldShmSize;
+      double xbytes    = dbytes*2.0*ncall;
+      double rbytes    = xbytes;
+      double bidibytes = xbytes+rbytes;
+
+      if ( ! WorldRank ) {
+	printf("\t%12ld\t %12ld %16.0lf\n",L,bytes,bidibytes/(t1-t0)); fflush(stdout);
+      }
+    }
+  }
+  /*********************************************************
+   * Free memory
+   *********************************************************
+   */
+  if ( use_device ) {
+    for(int d=0;d<2*Nd;d++){
+      acceleratorFreeDevice(send_bufs[d]);
+      acceleratorFreeDevice(recv_bufs[d]);
+    }
+  } else {
+    for(int d=0;d<2*Nd;d++){
+      free(send_bufs[d]);
+      free(recv_bufs[d]);
+    }
+  }
+
+}
+
+/**************************************
+ * Command line junk
+ **************************************/
+
+std::string CmdOptionPayload(char ** begin, char ** end, const std::string & option)
+{
+  char ** itr = std::find(begin, end, option);
+  if (itr != end && ++itr != end) {
+    std::string payload(*itr);
+    return payload;
+  }
+  return std::string("");
+}
+bool CmdOptionExists(char** begin, char** end, const std::string& option)
+{
+  return std::find(begin, end, option) != end;
+}
+void CmdOptionIntVector(const std::string &str,std::vector<int> & vec)
+{
+  vec.resize(0);
+  std::stringstream ss(str);
+  int i;
+  while (ss >> i){
+    vec.push_back(i);
+    if(std::ispunct(ss.peek()))
+      ss.ignore();
+  }
+  return;
+}
+/**************************************
+ * Command line junk
+ **************************************/
+int main(int argc, char **argv)
+{
+  std::string arg;
+
+  acceleratorInit();
+
+  MPI_Init(&argc,&argv);
+
+  WorldComm = MPI_COMM_WORLD;
+  
+  MPI_Comm_split_type(WorldComm, MPI_COMM_TYPE_SHARED, 0, MPI_INFO_NULL,&WorldShmComm);
+
+  MPI_Comm_rank(WorldComm     ,&WorldRank);
+  MPI_Comm_size(WorldComm     ,&WorldSize);
+
+  MPI_Comm_rank(WorldShmComm     ,&WorldShmRank);
+  MPI_Comm_size(WorldShmComm     ,&WorldShmSize);
+
+  if ( WorldSize/WorldShmSize > 2) {
+    printf("This benchmark is meant to run on at most two nodes only\n");
+  }
+
+  auto mpi =std::vector<int>({1,1,1,1});
+
+  if( CmdOptionExists(argv,argv+argc,"--mpi") ){
+    arg = CmdOptionPayload(argv,argv+argc,"--mpi");
+    CmdOptionIntVector(arg,mpi);
+  } else {
+    printf("Must specify --mpi <n1.n2.n3.n4> command line argument\n");
+    exit(0);
+  }
+
+  if( !WorldRank ) {
+    printf("***********************************\n");
+    printf("%d ranks\n",WorldSize); 
+    printf("%d ranks-per-node\n",WorldShmSize);
+    printf("%d nodes\n",WorldSize/WorldShmSize);fflush(stdout);
+    printf("Cartesian layout: ");
+    for(int d=0;d<mpi.size();d++){
+      printf("%d ",mpi[d]);
+    }
+    printf("\n");fflush(stdout);
+    printf("***********************************\n");
+  }
+
+  
+  if( !WorldRank ) {
+    printf("=========================================================\n");
+    printf("= Benchmarking HOST memory MPI performance               \n");
+    printf("=========================================================\n");fflush(stdout);
+    printf("= L\t pkt bytes\t MB/s           \n");
+    printf("=========================================================\n");fflush(stdout);
+  }
+
+  for(int L=16;L<=64;L+=4){
+    Benchmark(L,mpi,false,100);
+  }  
+
+  if( !WorldRank ) {
+    printf("=========================================================\n");
+    printf("= Benchmarking DEVICE memory MPI performance             \n");
+    printf("=========================================================\n");fflush(stdout);
+  }
+  for(int L=16;L<=64;L+=4){
+    Benchmark(L,mpi,true,100);
+  }  
+
+  if( !WorldRank ) {
+    printf("=========================================================\n");
+    printf("= DONE   \n");
+    printf("=========================================================\n");
+  }
+  MPI_Finalize();
+}

benchmarks/Benchmark_dwf_fp32.cc

@@ -90,11 +90,11 @@ int main (int argc, char ** argv)
   std::cout << GridLogMessage<< "++++++++++++++++++++++++++++++++++++++++++++++++" <<std::endl;
 
   for(int d=0;d<Nd;d++) CommDim[d]= (mpi[d]/shm[d])>1 ? 1 : 0;
-  Dirichlet[0] = 0;
-  Dirichlet[1] = CommDim[0]*latt4[0]/mpi[0] * shm[0];
-  Dirichlet[2] = CommDim[1]*latt4[1]/mpi[1] * shm[1];
-  Dirichlet[3] = CommDim[2]*latt4[2]/mpi[2] * shm[2];
-  Dirichlet[4] = CommDim[3]*latt4[3]/mpi[3] * shm[3];
+  //  Dirichlet[0] = 0;
+  //  Dirichlet[1] = CommDim[0]*latt4[0]/mpi[0] * shm[0];
+  //  Dirichlet[2] = CommDim[1]*latt4[1]/mpi[1] * shm[1];
+  //  Dirichlet[3] = CommDim[2]*latt4[2]/mpi[2] * shm[2];
+  //  Dirichlet[4] = CommDim[3]*latt4[3]/mpi[3] * shm[3];
 
   Benchmark(Ls,Dirichlet);
 
@@ -105,11 +105,11 @@ int main (int argc, char ** argv)
   std::cout << GridLogMessage<< "++++++++++++++++++++++++++++++++++++++++++++++++" <<std::endl;
 
   for(int d=0;d<Nd;d++) CommDim[d]= mpi[d]>1 ? 1 : 0;
-  Dirichlet[0] = 0;
-  Dirichlet[1] = CommDim[0]*latt4[0]/mpi[0];
-  Dirichlet[2] = CommDim[1]*latt4[1]/mpi[1];
-  Dirichlet[3] = CommDim[2]*latt4[2]/mpi[2];
-  Dirichlet[4] = CommDim[3]*latt4[3]/mpi[3];
+  //  Dirichlet[0] = 0;
+  //  Dirichlet[1] = CommDim[0]*latt4[0]/mpi[0];
+  //  Dirichlet[2] = CommDim[1]*latt4[1]/mpi[1];
+  //  Dirichlet[3] = CommDim[2]*latt4[2]/mpi[2];
+  //  Dirichlet[4] = CommDim[3]*latt4[3]/mpi[3];
   
   Benchmark(Ls,Dirichlet);
 
@@ -185,6 +185,7 @@ void Benchmark(int Ls, Coordinate Dirichlet)
   GaugeField Umu(UGrid);
   GaugeField UmuCopy(UGrid);
   SU<Nc>::HotConfiguration(RNG4,Umu);
+  //  SU<Nc>::ColdConfiguration(Umu);
   UmuCopy=Umu;
   std::cout << GridLogMessage << "Random gauge initialised " << std::endl;
 
@@ -307,6 +308,14 @@ void Benchmark(int Ls, Coordinate Dirichlet)
     if(( n2e>1.0e-4) ) {
       std::cout<<GridLogMessage << "WRONG RESULT" << std::endl;
       FGrid->Barrier();
+      std::cout<<GridLogMessage << "RESULT" << std::endl;
+      //      std::cout << result<<std::endl;
+      std::cout << norm2(result)<<std::endl;
+      std::cout<<GridLogMessage << "REF" << std::endl;
+      std::cout << norm2(ref)<<std::endl;
+      std::cout<<GridLogMessage << "ERR" << std::endl;
+      std::cout << norm2(err)<<std::endl;
+      FGrid->Barrier();
       exit(-1);
     }
     assert (n2e< 1.0e-4 );

benchmarks/Benchmark_usqcd.cc

@@ -0,0 +1,968 @@
+/*************************************************************************************
+
+    Grid physics library, www.github.com/paboyle/Grid 
+
+    Source file: ./benchmarks/Benchmark_usqcd.cc
+
+    Copyright (C) 2015
+
+Author: Peter Boyle <paboyle@ph.ed.ac.uk>
+Author: paboyle <paboyle@ph.ed.ac.uk>
+
+    This program is free software; you can redistribute it and/or modify
+    it under the terms of the GNU General Public License as published by
+    the Free Software Foundation; either version 2 of the License, or
+    (at your option) any later version.
+
+    This program is distributed in the hope that it will be useful,
+    but WITHOUT ANY WARRANTY; without even the implied warranty of
+    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+    GNU General Public License for more details.
+
+    You should have received a copy of the GNU General Public License along
+    with this program; if not, write to the Free Software Foundation, Inc.,
+    51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
+
+    See the full license in the file "LICENSE" in the top level distribution directory
+    *************************************************************************************/
+    /*  END LEGAL */
+#include <Grid/Grid.h>
+#include <Grid/algorithms/blas/BatchedBlas.h>
+
+using namespace Grid;
+
+std::vector<int> L_list;
+std::vector<int> Ls_list;
+std::vector<double> mflop_list;
+
+double mflop_ref;
+double mflop_ref_err;
+
+int NN_global;
+
+FILE * FP;
+
+struct time_statistics{
+  double mean;
+  double err;
+  double min;
+  double max;
+
+  void statistics(std::vector<double> v){
+      double sum = std::accumulate(v.begin(), v.end(), 0.0);
+      mean = sum / v.size();
+
+      std::vector<double> diff(v.size());
+      std::transform(v.begin(), v.end(), diff.begin(), [=](double x) { return x - mean; });
+      double sq_sum = std::inner_product(diff.begin(), diff.end(), diff.begin(), 0.0);
+      err = std::sqrt(sq_sum / (v.size()*(v.size() - 1)));
+
+      auto result = std::minmax_element(v.begin(), v.end());
+      min = *result.first;
+      max = *result.second;
+}
+};
+
+void comms_header(){
+  std::cout <<GridLogMessage << " L  "<<"\t"<<" Ls  "<<"\t"
+            <<"bytes\t MB/s uni  \t\t MB/s bidi "<<std::endl;
+};
+
+struct controls {
+  int Opt;
+  int CommsOverlap;
+  Grid::CartesianCommunicator::CommunicatorPolicy_t CommsAsynch;
+};
+
+class Benchmark {
+public:
+  static void Decomposition (void ) {
+
+    int threads = GridThread::GetThreads();
+    std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
+    std::cout<<GridLogMessage << "= Grid is setup to use "<<threads<<" threads"<<std::endl;
+    std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
+    std::cout<<GridLogMessage<<"Grid Default Decomposition patterns\n";
+    std::cout<<GridLogMessage<<"\tOpenMP threads : "<<GridThread::GetThreads()<<std::endl;
+    std::cout<<GridLogMessage<<"\tMPI tasks      : "<<GridCmdVectorIntToString(GridDefaultMpi())<<std::endl;
+    std::cout<<GridLogMessage<<"\tvReal          : "<<sizeof(vReal )*8    <<"bits ; " <<GridCmdVectorIntToString(GridDefaultSimd(4,vReal::Nsimd()))<<std::endl;
+    std::cout<<GridLogMessage<<"\tvRealF         : "<<sizeof(vRealF)*8    <<"bits ; " <<GridCmdVectorIntToString(GridDefaultSimd(4,vRealF::Nsimd()))<<std::endl;
+    std::cout<<GridLogMessage<<"\tvRealD         : "<<sizeof(vRealD)*8    <<"bits ; " <<GridCmdVectorIntToString(GridDefaultSimd(4,vRealD::Nsimd()))<<std::endl;
+    std::cout<<GridLogMessage<<"\tvComplex       : "<<sizeof(vComplex )*8 <<"bits ; " <<GridCmdVectorIntToString(GridDefaultSimd(4,vComplex::Nsimd()))<<std::endl;
+    std::cout<<GridLogMessage<<"\tvComplexF      : "<<sizeof(vComplexF)*8 <<"bits ; " <<GridCmdVectorIntToString(GridDefaultSimd(4,vComplexF::Nsimd()))<<std::endl;
+    std::cout<<GridLogMessage<<"\tvComplexD      : "<<sizeof(vComplexD)*8 <<"bits ; " <<GridCmdVectorIntToString(GridDefaultSimd(4,vComplexD::Nsimd()))<<std::endl;
+    std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
+
+  }
+
+  static void Comms(void)
+  {
+    int Nloop=200;
+    int nmu=0;
+    int maxlat=32;
+
+    Coordinate simd_layout = GridDefaultSimd(Nd,vComplexD::Nsimd());
+    Coordinate mpi_layout  = GridDefaultMpi();
+
+    for(int mu=0;mu<Nd;mu++) if (mpi_layout[mu]>1) nmu++;
+
+    std::vector<double> t_time(Nloop);
+    time_statistics timestat;
+
+    std::cout<<GridLogMessage << "===================================================================================================="<<std::endl;
+    std::cout<<GridLogMessage << "= Benchmarking threaded STENCIL halo exchange in "<<nmu<<" dimensions"<<std::endl;
+    std::cout<<GridLogMessage << "===================================================================================================="<<std::endl;
+    comms_header();
+
+    fprintf(FP,"Communications\n\n");
+    fprintf(FP,"Packet bytes, direction, GB/s per node\n");
+    for(int lat=16;lat<=maxlat;lat+=8){
+      //      for(int Ls=8;Ls<=8;Ls*=2){
+      { int Ls=12;
+
+	Coordinate latt_size  ({lat*mpi_layout[0],
+	      lat*mpi_layout[1],
+	      lat*mpi_layout[2],
+	      lat*mpi_layout[3]});
+
+	GridCartesian     Grid(latt_size,simd_layout,mpi_layout);
+	RealD Nrank = Grid._Nprocessors;
+	RealD Nnode = Grid.NodeCount();
+	RealD ppn = Nrank/Nnode;
+
+	std::vector<HalfSpinColourVectorD *> xbuf(8);
+	std::vector<HalfSpinColourVectorD *> rbuf(8);
+	//Grid.ShmBufferFreeAll();
+	uint64_t bytes=lat*lat*lat*Ls*sizeof(HalfSpinColourVectorD);
+	for(int d=0;d<8;d++){
+	  xbuf[d] = (HalfSpinColourVectorD *)acceleratorAllocDevice(bytes);
+	  rbuf[d] = (HalfSpinColourVectorD *)acceleratorAllocDevice(bytes);
+	  //	  bzero((void *)xbuf[d],lat*lat*lat*Ls*sizeof(HalfSpinColourVectorD));
+	  //	  bzero((void *)rbuf[d],lat*lat*lat*Ls*sizeof(HalfSpinColourVectorD));
+	}
+
+	//	int ncomm;
+	double dbytes;
+
+        for(int dir=0;dir<8;dir++) {
+	  int mu =dir % 4;
+	  if (mpi_layout[mu]>1 ) {
+
+	    std::vector<double> times(Nloop);
+	    for(int i=0;i<Nloop;i++){
+
+	      dbytes=0;	        
+	      double start=usecond();
+	      int xmit_to_rank;
+	      int recv_from_rank;
+
+	      if ( dir == mu ) { 
+		int comm_proc=1;
+		Grid.ShiftedRanks(mu,comm_proc,xmit_to_rank,recv_from_rank);
+	      } else { 
+		int comm_proc = mpi_layout[mu]-1;
+		Grid.ShiftedRanks(mu,comm_proc,xmit_to_rank,recv_from_rank);
+	      }
+	      Grid.SendToRecvFrom((void *)&xbuf[dir][0], xmit_to_rank,
+				  (void *)&rbuf[dir][0], recv_from_rank,
+				  bytes);
+	      dbytes+=bytes;
+	     
+	      double stop=usecond();
+	      t_time[i] = stop-start; // microseconds
+
+	    }
+	    timestat.statistics(t_time);
+	  
+	    dbytes=dbytes*ppn;
+	    double xbytes    = dbytes*0.5;
+	    double bidibytes = dbytes;
+	  
+	    std::cout<<GridLogMessage << lat<<"\t"<<Ls<<"\t "
+		     << bytes << " \t "
+		     <<xbytes/timestat.mean
+		     << "\t\t"
+		     << bidibytes/timestat.mean<< std::endl;
+	    fprintf(FP,"%ld, %d, %f\n",(long)bytes,dir,bidibytes/timestat.mean/1000.);
+	  }
+	}
+	for(int d=0;d<8;d++){
+	  acceleratorFreeDevice(xbuf[d]);
+	  acceleratorFreeDevice(rbuf[d]);
+	}
+      }
+    }
+    fprintf(FP,"\n\n");
+    
+    return;
+  }
+
+  
+  static void Memory(void)
+  {
+    const int Nvec=8;
+    typedef Lattice< iVector< vReal,Nvec> > LatticeVec;
+    typedef iVector<vReal,Nvec> Vec;
+
+    Coordinate simd_layout = GridDefaultSimd(Nd,vReal::Nsimd());
+    Coordinate mpi_layout  = GridDefaultMpi();
+
+    fprintf(FP,"Memory Bandwidth\n\n");
+    fprintf(FP,"Bytes, GB/s per node\n");
+    std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
+    std::cout<<GridLogMessage << "= Benchmarking a*x + y bandwidth"<<std::endl;
+    std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
+    std::cout<<GridLogMessage << "  L  "<<"\t\t"<<"bytes"<<"\t\t\t"<<"GB/s"<<"\t\t"<<"Gflop/s"<<"\t\t seconds"<< "\t\tGB/s / node"<<std::endl;
+    std::cout<<GridLogMessage << "----------------------------------------------------------"<<std::endl;
+  
+    //    uint64_t NP;
+    uint64_t NN;
+
+
+  uint64_t lmax=40;
+#define NLOOP (1000*lmax*lmax*lmax*lmax/lat/lat/lat/lat)
+
+    GridSerialRNG          sRNG;      sRNG.SeedFixedIntegers(std::vector<int>({45,12,81,9}));
+    for(int lat=8;lat<=lmax;lat+=8){
+
+      Coordinate latt_size  ({lat*mpi_layout[0],lat*mpi_layout[1],lat*mpi_layout[2],lat*mpi_layout[3]});
+      int64_t vol= latt_size[0]*latt_size[1]*latt_size[2]*latt_size[3];
+
+      GridCartesian     Grid(latt_size,simd_layout,mpi_layout);
+
+      //      NP= Grid.RankCount();
+      NN =Grid.NodeCount();
+
+      Vec rn ; random(sRNG,rn);
+
+      LatticeVec z(&Grid); z=Zero();
+      LatticeVec x(&Grid); x=Zero();
+      LatticeVec y(&Grid); y=Zero();
+      double a=2.0;
+
+      uint64_t Nloop=NLOOP;
+
+      double start=usecond();
+      for(int i=0;i<Nloop;i++){
+	z=a*x-y;
+      }
+      double stop=usecond();
+      double time = (stop-start)/Nloop*1000;
+     
+      double flops=vol*Nvec*2;// mul,add
+      double bytes=3.0*vol*Nvec*sizeof(Real);
+      std::cout<<GridLogMessage<<std::setprecision(3) 
+	       << lat<<"\t\t"<<bytes<<"   \t\t"<<bytes/time<<"\t\t"<<flops/time<<"\t\t"<<(stop-start)/1000./1000.
+	       << "\t\t"<< bytes/time/NN <<std::endl;
+
+      fprintf(FP,"%ld, %f\n",(long)bytes,bytes/time/NN);
+
+    }
+    fprintf(FP,"\n\n");
+  };
+
+
+  static void BLAS(void)
+  {
+    //int nbasis, int nrhs, int coarseVol
+    int  basis[] = { 16,32,64 };
+    int  rhs[]   = { 8,16,32 };
+    int  vol  = 4*4*4*4;
+
+    GridBLAS blas;
+    
+    std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
+    std::cout<<GridLogMessage << "= batched GEMM (double precision) "<<std::endl;
+    std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
+    std::cout<<GridLogMessage << "  M  "<<"\t\t"<<"N"<<"\t\t\t"<<"K"<<"\t\t"<<"Gflop/s / rank (coarse mrhs)"<<std::endl;
+    std::cout<<GridLogMessage << "----------------------------------------------------------"<<std::endl;
+  
+    fprintf(FP,"GEMM\n\n M, N, K, BATCH, GF/s per rank\n");
+
+    for(int b=0;b<3;b++){
+    for(int r=0;r<3;r++){
+      int M=basis[b];
+      int N=rhs[r];
+      int K=basis[b];
+      int BATCH=vol;
+      double p=blas.benchmark(M,N,K,BATCH);
+
+      fprintf(FP,"%d, %d, %d, %d, %f\n", M, N, K, BATCH, p);
+      
+      std::cout<<GridLogMessage<<std::setprecision(3) 
+	       << M<<"\t\t"<<N<<"\t\t"<<K<<"\t\t"<<BATCH<<"\t\t"<<p<<std::endl;
+    }}
+    std::cout<<GridLogMessage << "----------------------------------------------------------"<<std::endl;
+    std::cout<<GridLogMessage << "  M  "<<"\t\t"<<"N"<<"\t\t\t"<<"K"<<"\t\t"<<"Gflop/s / rank (block project)"<<std::endl;
+    std::cout<<GridLogMessage << "----------------------------------------------------------"<<std::endl;
+    for(int b=0;b<3;b++){
+    for(int r=0;r<3;r++){
+      int M=basis[b];
+      int N=rhs[r];
+      int K=vol;
+      int BATCH=vol;
+      double p=blas.benchmark(M,N,K,BATCH);
+
+      fprintf(FP,"%d, %d, %d, %d, %f\n", M, N, K, BATCH, p);
+      std::cout<<GridLogMessage<<std::setprecision(3) 
+	       << M<<"\t\t"<<N<<"\t\t"<<K<<"\t\t"<<BATCH<<"\t\t"<<p<<std::endl;
+    }}
+    std::cout<<GridLogMessage << "----------------------------------------------------------"<<std::endl;
+    std::cout<<GridLogMessage << "  M  "<<"\t\t"<<"N"<<"\t\t\t"<<"K"<<"\t\t"<<"Gflop/s / rank (block promote)"<<std::endl;
+    std::cout<<GridLogMessage << "----------------------------------------------------------"<<std::endl;
+    for(int b=0;b<3;b++){
+    for(int r=0;r<3;r++){
+      int M=rhs[r];
+      int N=vol;
+      int K=basis[b];
+      int BATCH=vol;
+      double p=blas.benchmark(M,N,K,BATCH);
+
+      fprintf(FP,"%d, %d, %d, %d, %f\n", M, N, K, BATCH, p);
+      std::cout<<GridLogMessage<<std::setprecision(3) 
+	       << M<<"\t\t"<<N<<"\t\t"<<K<<"\t\t"<<BATCH<<"\t\t"<<p<<std::endl;
+    }}
+    fprintf(FP,"\n\n\n");
+    std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
+  };
+  
+
+  static void SU4(void)
+  {
+    const int Nc4=4;
+    typedef Lattice< iMatrix< vComplexF,Nc4> > LatticeSU4;
+
+    Coordinate simd_layout = GridDefaultSimd(Nd,vComplexF::Nsimd());
+    Coordinate mpi_layout  = GridDefaultMpi();
+    
+    std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
+    std::cout<<GridLogMessage << "= Benchmarking z = y*x SU(4) bandwidth"<<std::endl;
+    std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
+    std::cout<<GridLogMessage << "  L  "<<"\t\t"<<"bytes"<<"\t\t\t"<<"GB/s"<<"\t\t"<<"Gflop/s"<<"\t\t seconds"<< "\t\tGB/s / node"<<std::endl;
+    std::cout<<GridLogMessage << "----------------------------------------------------------"<<std::endl;
+  
+    uint64_t NN;
+
+
+    uint64_t lmax=32;
+
+    GridSerialRNG          sRNG;      sRNG.SeedFixedIntegers(std::vector<int>({45,12,81,9}));
+    for(int lat=8;lat<=lmax;lat+=8){
+
+      Coordinate latt_size  ({lat*mpi_layout[0],lat*mpi_layout[1],lat*mpi_layout[2],lat*mpi_layout[3]});
+      int64_t vol= latt_size[0]*latt_size[1]*latt_size[2]*latt_size[3];
+
+      GridCartesian     Grid(latt_size,simd_layout,mpi_layout);
+
+      NN =Grid.NodeCount();
+
+
+      LatticeSU4 z(&Grid); z=Zero();
+      LatticeSU4 x(&Grid); x=Zero();
+      LatticeSU4 y(&Grid); y=Zero();
+      //      double a=2.0;
+
+      uint64_t Nloop=NLOOP;
+
+      double start=usecond();
+      for(int i=0;i<Nloop;i++){
+	z=x*y;
+      }
+      double stop=usecond();
+      double time = (stop-start)/Nloop*1000;
+     
+      double flops=vol*Nc4*Nc4*(6+(Nc4-1)*8);// mul,add
+      double bytes=3.0*vol*Nc4*Nc4*2*sizeof(RealF);
+      std::cout<<GridLogMessage<<std::setprecision(3) 
+	       << lat<<"\t\t"<<bytes<<"   \t\t"<<bytes/time<<"\t\t"<<flops/time<<"\t\t"<<(stop-start)/1000./1000.
+	       << "\t\t"<< bytes/time/NN <<std::endl;
+
+    }
+  };
+
+
+  static double DWF(int Ls,int L)
+  {
+    RealD mass=0.1;
+    RealD M5  =1.8;
+
+    double mflops;
+    double mflops_best = 0;
+    double mflops_worst= 0;
+    std::vector<double> mflops_all;
+
+    ///////////////////////////////////////////////////////
+    // Set/Get the layout & grid size
+    ///////////////////////////////////////////////////////
+    int threads = GridThread::GetThreads();
+    Coordinate mpi = GridDefaultMpi(); assert(mpi.size()==4);
+    Coordinate local({L,L,L,L});
+    Coordinate latt4({local[0]*mpi[0],local[1]*mpi[1],local[2]*mpi[2],local[3]*mpi[3]});
+
+    GridCartesian         * TmpGrid   = SpaceTimeGrid::makeFourDimGrid(latt4, 
+								       GridDefaultSimd(Nd,vComplex::Nsimd()),
+								       GridDefaultMpi());
+    uint64_t NP = TmpGrid->RankCount();
+    uint64_t NN = TmpGrid->NodeCount();
+    NN_global=NN;
+    uint64_t SHM=NP/NN;
+
+
+    ///////// Welcome message ////////////
+    std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
+    std::cout<<GridLogMessage << "Benchmark DWF on "<<L<<"^4 local volume "<<std::endl;
+    std::cout<<GridLogMessage << "* Nc             : "<<Nc<<std::endl;
+    std::cout<<GridLogMessage << "* Global volume  : "<<GridCmdVectorIntToString(latt4)<<std::endl;
+    std::cout<<GridLogMessage << "* Ls             : "<<Ls<<std::endl;
+    std::cout<<GridLogMessage << "* ranks          : "<<NP  <<std::endl;
+    std::cout<<GridLogMessage << "* nodes          : "<<NN  <<std::endl;
+    std::cout<<GridLogMessage << "* ranks/node     : "<<SHM <<std::endl;
+    std::cout<<GridLogMessage << "* ranks geom     : "<<GridCmdVectorIntToString(mpi)<<std::endl;
+    std::cout<<GridLogMessage << "* Using "<<threads<<" threads"<<std::endl;
+    std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
+
+    ///////// Lattice Init ////////////
+    GridCartesian         * UGrid   = SpaceTimeGrid::makeFourDimGrid(latt4, GridDefaultSimd(Nd,vComplexF::Nsimd()),GridDefaultMpi());
+    GridRedBlackCartesian * UrbGrid = SpaceTimeGrid::makeFourDimRedBlackGrid(UGrid);
+    GridCartesian         * FGrid   = SpaceTimeGrid::makeFiveDimGrid(Ls,UGrid);
+    GridRedBlackCartesian * FrbGrid = SpaceTimeGrid::makeFiveDimRedBlackGrid(Ls,UGrid);
+
+    
+    ///////// RNG Init ////////////
+    std::vector<int> seeds4({1,2,3,4});
+    std::vector<int> seeds5({5,6,7,8});
+    GridParallelRNG          RNG4(UGrid);  RNG4.SeedFixedIntegers(seeds4);
+    GridParallelRNG          RNG5(FGrid);  RNG5.SeedFixedIntegers(seeds5);
+    std::cout << GridLogMessage << "Initialised RNGs" << std::endl;
+
+    typedef DomainWallFermionF Action;
+    typedef typename Action::FermionField Fermion;
+    typedef LatticeGaugeFieldF Gauge;
+    
+    ///////// Source preparation ////////////
+    Gauge Umu(UGrid);  SU<Nc>::HotConfiguration(RNG4,Umu); 
+    Fermion src   (FGrid); random(RNG5,src);
+    Fermion src_e (FrbGrid);
+    Fermion src_o (FrbGrid);
+    Fermion r_e   (FrbGrid);
+    Fermion r_o   (FrbGrid);
+    Fermion r_eo  (FGrid);
+    Action Dw(Umu,*FGrid,*FrbGrid,*UGrid,*UrbGrid,mass,M5);
+
+    {
+
+      pickCheckerboard(Even,src_e,src);
+      pickCheckerboard(Odd,src_o,src);
+
+#ifdef AVX512
+      const int num_cases = 3;
+#else 
+      const int num_cases = 2;
+#endif      
+      std::string fmt("G/S/C ; G/O/C ; G/S/S ; G/O/S ");
+
+      controls Cases [] = {
+	{  WilsonKernelsStatic::OptGeneric   ,  WilsonKernelsStatic::CommsAndCompute  ,CartesianCommunicator::CommunicatorPolicyConcurrent },
+	{  WilsonKernelsStatic::OptHandUnroll,  WilsonKernelsStatic::CommsAndCompute  ,CartesianCommunicator::CommunicatorPolicyConcurrent },
+	{  WilsonKernelsStatic::OptInlineAsm ,  WilsonKernelsStatic::CommsAndCompute  ,CartesianCommunicator::CommunicatorPolicyConcurrent }
+      }; 
+
+      for(int c=0;c<num_cases;c++) {
+	
+	WilsonKernelsStatic::Comms = Cases[c].CommsOverlap;
+	WilsonKernelsStatic::Opt   = Cases[c].Opt;
+	CartesianCommunicator::SetCommunicatorPolicy(Cases[c].CommsAsynch);
+
+	std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
+	if ( WilsonKernelsStatic::Opt == WilsonKernelsStatic::OptGeneric   ) std::cout << GridLogMessage<< "* Using GENERIC Nc WilsonKernels" <<std::endl;
+	if ( WilsonKernelsStatic::Opt == WilsonKernelsStatic::OptInlineAsm ) std::cout << GridLogMessage<< "* Using ASM      WilsonKernels" <<std::endl;
+	if ( WilsonKernelsStatic::Opt == WilsonKernelsStatic::OptHandUnroll) std::cout << GridLogMessage<< "* Using UNROLLED WilsonKernels" <<std::endl;
+	if ( WilsonKernelsStatic::Comms == WilsonKernelsStatic::CommsAndCompute ) std::cout << GridLogMessage<< "* Using Overlapped Comms/Compute" <<std::endl;
+	if ( WilsonKernelsStatic::Comms == WilsonKernelsStatic::CommsThenCompute) std::cout << GridLogMessage<< "* Using sequential Comms/Compute" <<std::endl;
+	std::cout << GridLogMessage<< "* SINGLE precision "<<std::endl;
+	std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
+
+	int nwarm = 10;
+	double t0=usecond();
+	FGrid->Barrier();
+	for(int i=0;i<nwarm;i++){
+	  Dw.DhopEO(src_o,r_e,DaggerNo);
+	}
+	FGrid->Barrier();
+	double t1=usecond();
+	uint64_t ncall = 500;
+
+	FGrid->Broadcast(0,&ncall,sizeof(ncall));
+
+	//	std::cout << GridLogMessage << " Estimate " << ncall << " calls per second"<<std::endl;
+
+	time_statistics timestat;
+	std::vector<double> t_time(ncall);
+	for(uint64_t i=0;i<ncall;i++){
+	  t0=usecond();
+	  Dw.DhopEO(src_o,r_e,DaggerNo);
+	  t1=usecond();
+	  t_time[i] = t1-t0;
+	}
+	FGrid->Barrier();
+	
+	double volume=Ls;  for(int mu=0;mu<Nd;mu++) volume=volume*latt4[mu];
+
+	// Nc=3 gives
+	// 1344= 3*(2*8+6)*2*8 + 8*3*2*2 + 3*4*2*8
+	// 1344 = Nc* (6+(Nc-1)*8)*2*Nd + Nd*Nc*2*2  + Nd*Nc*Ns*2
+	//	double flops=(1344.0*volume)/2;
+	double fps = Nc* (6+(Nc-1)*8)*Ns*Nd + 2*Nd*Nc*Ns  + 2*Nd*Nc*Ns*2;
+
+	double flops=(fps*volume)/2;
+	double mf_hi, mf_lo, mf_err;
+
+	timestat.statistics(t_time);
+	mf_hi = flops/timestat.min;
+	mf_lo = flops/timestat.max;
+	mf_err= flops/timestat.min * timestat.err/timestat.mean;
+
+	mflops = flops/timestat.mean;
+	mflops_all.push_back(mflops);
+	if ( mflops_best == 0   ) mflops_best = mflops;
+	if ( mflops_worst== 0   ) mflops_worst= mflops;
+	if ( mflops>mflops_best ) mflops_best = mflops;
+	if ( mflops<mflops_worst) mflops_worst= mflops;
+
+	std::cout<<GridLogMessage<< "Deo FlopsPerSite is "<<fps<<std::endl;
+	std::cout<<GridLogMessage << std::fixed << std::setprecision(1)<<"Deo mflop/s =   "<< mflops << " ("<<mf_err<<") " << mf_lo<<"-"<<mf_hi <<std::endl;
+	std::cout<<GridLogMessage << std::fixed << std::setprecision(1)<<"Deo mflop/s per rank   "<< mflops/NP<<std::endl;
+	std::cout<<GridLogMessage << std::fixed << std::setprecision(1)<<"Deo mflop/s per node   "<< mflops/NN<<std::endl;
+
+      }
+
+      std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
+      std::cout<<GridLogMessage << L<<"^4 x "<<Ls<< " Deo Best  mflop/s        =   "<< mflops_best << " ; " << mflops_best/NN<<" per node " <<std::endl;
+      std::cout<<GridLogMessage << L<<"^4 x "<<Ls<< " Deo Worst mflop/s        =   "<< mflops_worst<< " ; " << mflops_worst/NN<<" per node " <<std::endl;
+      std::cout<<GridLogMessage <<fmt << std::endl;
+      std::cout<<GridLogMessage ;
+
+      for(int i=0;i<mflops_all.size();i++){
+	std::cout<<mflops_all[i]/NN<<" ; " ;
+      }
+      std::cout<<std::endl;
+      std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
+
+    }
+    return mflops_best;
+  }
+
+
+  static double Staggered(int L)
+  {
+    double mflops;
+    double mflops_best = 0;
+    double mflops_worst= 0;
+    std::vector<double> mflops_all;
+
+    ///////////////////////////////////////////////////////
+    // Set/Get the layout & grid size
+    ///////////////////////////////////////////////////////
+    int threads = GridThread::GetThreads();
+    Coordinate mpi = GridDefaultMpi(); assert(mpi.size()==4);
+    Coordinate local({L,L,L,L});
+    Coordinate latt4({local[0]*mpi[0],local[1]*mpi[1],local[2]*mpi[2],local[3]*mpi[3]});
+    
+    GridCartesian         * TmpGrid   = SpaceTimeGrid::makeFourDimGrid(latt4,
+								       GridDefaultSimd(Nd,vComplex::Nsimd()),
+								       GridDefaultMpi());
+    uint64_t NP = TmpGrid->RankCount();
+    uint64_t NN = TmpGrid->NodeCount();
+    NN_global=NN;
+    uint64_t SHM=NP/NN;
+
+
+    ///////// Welcome message ////////////
+    std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
+    std::cout<<GridLogMessage << "Benchmark ImprovedStaggered on "<<L<<"^4 local volume "<<std::endl;
+    std::cout<<GridLogMessage << "* Global volume  : "<<GridCmdVectorIntToString(latt4)<<std::endl;
+    std::cout<<GridLogMessage << "* ranks          : "<<NP  <<std::endl;
+    std::cout<<GridLogMessage << "* nodes          : "<<NN  <<std::endl;
+    std::cout<<GridLogMessage << "* ranks/node     : "<<SHM <<std::endl;
+    std::cout<<GridLogMessage << "* ranks geom     : "<<GridCmdVectorIntToString(mpi)<<std::endl;
+    std::cout<<GridLogMessage << "* Using "<<threads<<" threads"<<std::endl;
+    std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
+
+    ///////// Lattice Init ////////////
+    GridCartesian         * FGrid   = SpaceTimeGrid::makeFourDimGrid(latt4, GridDefaultSimd(Nd,vComplexF::Nsimd()),GridDefaultMpi());
+    GridRedBlackCartesian * FrbGrid = SpaceTimeGrid::makeFourDimRedBlackGrid(FGrid);
+    
+    ///////// RNG Init ////////////
+    std::vector<int> seeds4({1,2,3,4});
+    GridParallelRNG          RNG4(FGrid);  RNG4.SeedFixedIntegers(seeds4);
+    std::cout << GridLogMessage << "Initialised RNGs" << std::endl;
+
+    RealD mass=0.1;
+    RealD c1=9.0/8.0;
+    RealD c2=-1.0/24.0;
+    RealD u0=1.0;
+
+    typedef ImprovedStaggeredFermionF Action;
+    typedef typename Action::FermionField Fermion; 
+    typedef LatticeGaugeFieldF Gauge;
+    
+    Gauge Umu(FGrid);  SU<Nc>::HotConfiguration(RNG4,Umu); 
+
+    typename Action::ImplParams params;
+    Action Ds(Umu,Umu,*FGrid,*FrbGrid,mass,c1,c2,u0,params);
+
+    ///////// Source preparation ////////////
+    Fermion src   (FGrid); random(RNG4,src);
+    Fermion src_e (FrbGrid);
+    Fermion src_o (FrbGrid);
+    Fermion r_e   (FrbGrid);
+    Fermion r_o   (FrbGrid);
+    Fermion r_eo  (FGrid);
+  
+    {
+
+      pickCheckerboard(Even,src_e,src);
+      pickCheckerboard(Odd,src_o,src);
+    
+      const int num_cases = 2;
+      std::string fmt("G/S/C ; G/O/C ; G/S/S ; G/O/S ");
+      
+      controls Cases [] = {
+	{  StaggeredKernelsStatic::OptGeneric   ,  StaggeredKernelsStatic::CommsAndCompute  ,CartesianCommunicator::CommunicatorPolicyConcurrent  },
+	{  StaggeredKernelsStatic::OptHandUnroll,  StaggeredKernelsStatic::CommsAndCompute  ,CartesianCommunicator::CommunicatorPolicyConcurrent  },
+	{  StaggeredKernelsStatic::OptInlineAsm ,  StaggeredKernelsStatic::CommsAndCompute  ,CartesianCommunicator::CommunicatorPolicyConcurrent  }
+      }; 
+
+      for(int c=0;c<num_cases;c++) {
+	
+	StaggeredKernelsStatic::Comms = Cases[c].CommsOverlap;
+	StaggeredKernelsStatic::Opt   = Cases[c].Opt;
+	CartesianCommunicator::SetCommunicatorPolicy(Cases[c].CommsAsynch);
+      
+	std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
+	if ( StaggeredKernelsStatic::Opt == StaggeredKernelsStatic::OptGeneric   ) std::cout << GridLogMessage<< "* Using GENERIC Nc StaggeredKernels" <<std::endl;
+	std::cout << GridLogMessage<< "* SINGLE precision "<<std::endl;
+	std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
+	
+	int nwarm = 10;
+	double t0=usecond();
+	FGrid->Barrier();
+	for(int i=0;i<nwarm;i++){
+	  Ds.DhopEO(src_o,r_e,DaggerNo);
+	}
+	FGrid->Barrier();
+	double t1=usecond();
+	uint64_t ncall = 500;
+
+	FGrid->Broadcast(0,&ncall,sizeof(ncall));
+
+	//	std::cout << GridLogMessage << " Estimate " << ncall << " calls per second"<<std::endl;
+
+	time_statistics timestat;
+	std::vector<double> t_time(ncall);
+	for(uint64_t i=0;i<ncall;i++){
+	  t0=usecond();
+	  Ds.DhopEO(src_o,r_e,DaggerNo);
+	  t1=usecond();
+	  t_time[i] = t1-t0;
+	}
+	FGrid->Barrier();
+	
+	double volume=1;  for(int mu=0;mu<Nd;mu++) volume=volume*latt4[mu];
+	double flops=(1146.0*volume)/2;
+	double mf_hi, mf_lo, mf_err;
+	
+	timestat.statistics(t_time);
+	mf_hi = flops/timestat.min;
+	mf_lo = flops/timestat.max;
+	mf_err= flops/timestat.min * timestat.err/timestat.mean;
+
+	mflops = flops/timestat.mean;
+	mflops_all.push_back(mflops);
+	if ( mflops_best == 0   ) mflops_best = mflops;
+	if ( mflops_worst== 0   ) mflops_worst= mflops;
+	if ( mflops>mflops_best ) mflops_best = mflops;
+	if ( mflops<mflops_worst) mflops_worst= mflops;
+	
+	std::cout<<GridLogMessage << std::fixed << std::setprecision(1)<<"Deo mflop/s =   "<< mflops << " ("<<mf_err<<") " << mf_lo<<"-"<<mf_hi <<std::endl;
+	std::cout<<GridLogMessage << std::fixed << std::setprecision(1)<<"Deo mflop/s per rank   "<< mflops/NP<<std::endl;
+	std::cout<<GridLogMessage << std::fixed << std::setprecision(1)<<"Deo mflop/s per node   "<< mflops/NN<<std::endl;
+      
+      }
+
+      std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
+      std::cout<<GridLogMessage << L<<"^4  Deo Best  mflop/s        =   "<< mflops_best << " ; " << mflops_best/NN<<" per node " <<std::endl;
+      std::cout<<GridLogMessage << L<<"^4  Deo Worst mflop/s        =   "<< mflops_worst<< " ; " << mflops_worst/NN<<" per node " <<std::endl;
+      std::cout<<GridLogMessage <<fmt << std::endl;
+      std::cout<<GridLogMessage ;
+
+      for(int i=0;i<mflops_all.size();i++){
+	std::cout<<mflops_all[i]/NN<<" ; " ;
+      }
+      std::cout<<std::endl;
+    }
+    std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
+    return mflops_best;
+  }
+
+  static double Clover(int L)
+  {
+    double mflops;
+    double mflops_best = 0;
+    double mflops_worst= 0;
+    std::vector<double> mflops_all;
+
+    ///////////////////////////////////////////////////////
+    // Set/Get the layout & grid size
+    ///////////////////////////////////////////////////////
+    int threads = GridThread::GetThreads();
+    Coordinate mpi = GridDefaultMpi(); assert(mpi.size()==4);
+    Coordinate local({L,L,L,L});
+    Coordinate latt4({local[0]*mpi[0],local[1]*mpi[1],local[2]*mpi[2],local[3]*mpi[3]});
+    
+    GridCartesian         * TmpGrid   = SpaceTimeGrid::makeFourDimGrid(latt4,
+								       GridDefaultSimd(Nd,vComplex::Nsimd()),
+								       GridDefaultMpi());
+    uint64_t NP = TmpGrid->RankCount();
+    uint64_t NN = TmpGrid->NodeCount();
+    NN_global=NN;
+    uint64_t SHM=NP/NN;
+
+
+    ///////// Welcome message ////////////
+    std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
+    std::cout<<GridLogMessage << "Benchmark Clover on "<<L<<"^4 local volume "<<std::endl;
+    std::cout<<GridLogMessage << "* Global volume  : "<<GridCmdVectorIntToString(latt4)<<std::endl;
+    std::cout<<GridLogMessage << "* ranks          : "<<NP  <<std::endl;
+    std::cout<<GridLogMessage << "* nodes          : "<<NN  <<std::endl;
+    std::cout<<GridLogMessage << "* ranks/node     : "<<SHM <<std::endl;
+    std::cout<<GridLogMessage << "* ranks geom     : "<<GridCmdVectorIntToString(mpi)<<std::endl;
+    std::cout<<GridLogMessage << "* Using "<<threads<<" threads"<<std::endl;
+    std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
+
+    ///////// Lattice Init ////////////
+    GridCartesian         * FGrid   = SpaceTimeGrid::makeFourDimGrid(latt4, GridDefaultSimd(Nd,vComplexF::Nsimd()),GridDefaultMpi());
+    GridRedBlackCartesian * FrbGrid = SpaceTimeGrid::makeFourDimRedBlackGrid(FGrid);
+    
+    ///////// RNG Init ////////////
+    std::vector<int> seeds4({1,2,3,4});
+    GridParallelRNG          RNG4(FGrid);  RNG4.SeedFixedIntegers(seeds4);
+    std::cout << GridLogMessage << "Initialised RNGs" << std::endl;
+
+    RealD mass=0.1;
+    RealD csw=1.0;
+
+    typedef WilsonCloverFermionF Action;
+    typedef typename Action::FermionField Fermion; 
+    typedef LatticeGaugeFieldF Gauge;
+    
+    Gauge Umu(FGrid);  SU<Nc>::HotConfiguration(RNG4,Umu); 
+
+    Action Dc(Umu,*FGrid,*FrbGrid,mass,csw,csw);
+
+    ///////// Source preparation ////////////
+    Fermion src   (FGrid); random(RNG4,src);
+    Fermion r     (FGrid);
+  
+    {
+
+      const int num_cases = 1;
+      std::string fmt("G/S/C ; G/O/C ; G/S/S ; G/O/S ");
+      
+      controls Cases [] = {
+	{  WilsonKernelsStatic::OptGeneric   ,  WilsonKernelsStatic::CommsAndCompute  ,CartesianCommunicator::CommunicatorPolicyConcurrent  },
+      }; 
+
+      for(int c=0;c<num_cases;c++) {
+	
+	WilsonKernelsStatic::Comms = Cases[c].CommsOverlap;
+	WilsonKernelsStatic::Opt   = Cases[c].Opt;
+	CartesianCommunicator::SetCommunicatorPolicy(Cases[c].CommsAsynch);
+      
+	std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
+	std::cout << GridLogMessage<< "* SINGLE precision "<<std::endl;
+	std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
+	
+	int nwarm = 10;
+	double t0=usecond();
+	FGrid->Barrier();
+	for(int i=0;i<nwarm;i++){
+	  Dc.M(src,r);
+	}
+	FGrid->Barrier();
+	double t1=usecond();
+	uint64_t ncall = 500;
+
+	FGrid->Broadcast(0,&ncall,sizeof(ncall));
+
+	//	std::cout << GridLogMessage << " Estimate " << ncall << " calls per second"<<std::endl;
+
+	time_statistics timestat;
+	std::vector<double> t_time(ncall);
+	for(uint64_t i=0;i<ncall;i++){
+	  t0=usecond();
+	  Dc.M(src,r);
+	  t1=usecond();
+	  t_time[i] = t1-t0;
+	}
+	FGrid->Barrier();
+	
+	double volume=1;  for(int mu=0;mu<Nd;mu++) volume=volume*latt4[mu];
+	double flops=(1344+ 24+6*6*8*2)*volume;
+	double mf_hi, mf_lo, mf_err;
+	
+	timestat.statistics(t_time);
+	mf_hi = flops/timestat.min;
+	mf_lo = flops/timestat.max;
+	mf_err= flops/timestat.min * timestat.err/timestat.mean;
+
+	mflops = flops/timestat.mean;
+	mflops_all.push_back(mflops);
+	if ( mflops_best == 0   ) mflops_best = mflops;
+	if ( mflops_worst== 0   ) mflops_worst= mflops;
+	if ( mflops>mflops_best ) mflops_best = mflops;
+	if ( mflops<mflops_worst) mflops_worst= mflops;
+	
+	std::cout<<GridLogMessage << std::fixed << std::setprecision(1)<<"Dclov mflop/s =   "<< mflops << " ("<<mf_err<<") " << mf_lo<<"-"<<mf_hi <<std::endl;
+	std::cout<<GridLogMessage << std::fixed << std::setprecision(1)<<"Dclov mflop/s per rank   "<< mflops/NP<<std::endl;
+	std::cout<<GridLogMessage << std::fixed << std::setprecision(1)<<"Dclov mflop/s per node   "<< mflops/NN<<std::endl;
+      
+      }
+
+      std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
+      std::cout<<GridLogMessage << L<<"^4  Deo Best  mflop/s        =   "<< mflops_best << " ; " << mflops_best/NN<<" per node " <<std::endl;
+      std::cout<<GridLogMessage << L<<"^4  Deo Worst mflop/s        =   "<< mflops_worst<< " ; " << mflops_worst/NN<<" per node " <<std::endl;
+      std::cout<<GridLogMessage <<fmt << std::endl;
+      std::cout<<GridLogMessage ;
+
+      for(int i=0;i<mflops_all.size();i++){
+	std::cout<<mflops_all[i]/NN<<" ; " ;
+      }
+      std::cout<<std::endl;
+    }
+    std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
+    return mflops_best;
+  }
+};
+
+
+
+
+int main (int argc, char ** argv)
+{
+  Grid_init(&argc,&argv);
+
+  if (GlobalSharedMemory::WorldRank==0) { 
+    FP = fopen("Benchmark_usqcd.csv","w");
+  } else {
+    FP = fopen("/dev/null","w");
+  }
+
+  CartesianCommunicator::SetCommunicatorPolicy(CartesianCommunicator::CommunicatorPolicySequential);
+  LebesgueOrder::Block = std::vector<int>({2,2,2,2});
+
+  Benchmark::Decomposition();
+
+  int do_su4=0;
+  int do_memory=1;
+  int do_comms =1;
+  int do_blas  =1;
+
+  int sel=4;
+  std::vector<int> L_list({8,12,16,24,32});
+  int selm1=sel-1;
+
+  std::vector<double> clover;
+  std::vector<double> dwf4;
+  std::vector<double> staggered;
+
+  int Ls=1;
+  std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
+  std::cout<<GridLogMessage << " Clover dslash 4D vectorised (temporarily Wilson)" <<std::endl;
+  std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
+  for(int l=0;l<L_list.size();l++){
+    clover.push_back(Benchmark::DWF(1,L_list[l]));
+  }
+
+  Ls=12;
+  std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
+  std::cout<<GridLogMessage << " Domain wall dslash 4D vectorised" <<std::endl;
+  std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
+  for(int l=0;l<L_list.size();l++){
+    double result = Benchmark::DWF(Ls,L_list[l]) ;
+    dwf4.push_back(result);
+  }
+
+  std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
+  std::cout<<GridLogMessage << " Improved Staggered dslash 4D vectorised" <<std::endl;
+  std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
+  for(int l=0;l<L_list.size();l++){
+    double result = Benchmark::Staggered(L_list[l]) ;
+    staggered.push_back(result);
+  }
+
+  std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
+  std::cout<<GridLogMessage << " Summary table Ls="<<Ls <<std::endl;
+  std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
+  std::cout<<GridLogMessage << "L \t\t Clover \t\t DWF4 \t\t Staggered" <<std::endl;
+  for(int l=0;l<L_list.size();l++){
+    std::cout<<GridLogMessage << L_list[l] <<" \t\t "<< clover[l]<<" \t\t "<<dwf4[l] << " \t\t "<< staggered[l]<<std::endl;
+  }
+  std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
+
+  int NN=NN_global;
+  if ( do_memory ) {
+    std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
+    std::cout<<GridLogMessage << " Memory benchmark " <<std::endl;
+    std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
+    Benchmark::Memory();
+  }
+
+  if ( do_blas ) {
+#if defined(GRID_CUDA) || defined(GRID_HIP)     || defined(GRID_SYCL)   
+    std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
+    std::cout<<GridLogMessage << " Batched BLAS benchmark " <<std::endl;
+    std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
+    Benchmark::BLAS();
+#endif
+  }
+
+  if ( do_su4 ) {
+    std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
+    std::cout<<GridLogMessage << " SU(4) benchmark " <<std::endl;
+    std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
+    Benchmark::SU4();
+  }
+  
+  if ( do_comms ) {
+    std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
+    std::cout<<GridLogMessage << " Communications benchmark " <<std::endl;
+    std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
+    Benchmark::Comms();
+  }
+
+    std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
+    std::cout<<GridLogMessage << " Per Node Summary table Ls="<<Ls <<std::endl;
+    std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
+    std::cout<<GridLogMessage << " L \t\t Clover\t\t DWF4\t\t Staggered (GF/s per node)" <<std::endl;
+    fprintf(FP,"Per node summary table\n");
+    fprintf(FP,"\n");
+    fprintf(FP,"L , Wilson, DWF4, Staggered, GF/s per node\n");
+    fprintf(FP,"\n");
+    for(int l=0;l<L_list.size();l++){
+      std::cout<<GridLogMessage << L_list[l] <<" \t\t "<< clover[l]/NN<<" \t "<<dwf4[l]/NN<< " \t "<<staggered[l]/NN<<std::endl;
+      fprintf(FP,"%d , %.0f, %.0f, %.0f\n",L_list[l],clover[l]/NN/1000.,dwf4[l]/NN/1000.,staggered[l]/NN/1000.);
+    }
+    fprintf(FP,"\n");
+
+    std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
+
+    std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
+    std::cout<<GridLogMessage << " Comparison point     result: "  << 0.5*(dwf4[sel]+dwf4[selm1])/NN << " Mflop/s per node"<<std::endl;
+    std::cout<<GridLogMessage << " Comparison point is 0.5*("<<dwf4[sel]/NN<<"+"<<dwf4[selm1]/NN << ") "<<std::endl;
+    std::cout<<std::setprecision(3);
+    std::cout<<GridLogMessage << "=================================================================================="<<std::endl;
+
+  Grid_finalize();
+  fclose(FP);
+}

bootstrap.sh

@@ -1,12 +1,12 @@
 #!/usr/bin/env bash
 set -e
 
-EIGEN_URL='https://gitlab.com/libeigen/eigen/-/archive/3.3.7/eigen-3.3.7.tar.bz2'
-EIGEN_SHA256SUM='685adf14bd8e9c015b78097c1dc22f2f01343756f196acdc76a678e1ae352e11'
+EIGEN_URL='https://gitlab.com/libeigen/eigen/-/archive/3.4.0/eigen-3.4.0.tar.bz2'
+EIGEN_SHA256SUM='b4c198460eba6f28d34894e3a5710998818515104d6e74e5cc331ce31e46e626'
 
 
 echo "-- deploying Eigen source..."
-ARC=`basename ${EIGEN_URL}`
+ARC=$(basename ${EIGEN_URL})
 wget ${EIGEN_URL} --no-check-certificate
 if command -v sha256sum; then
    echo "$EIGEN_SHA256SUM  $(basename "$EIGEN_URL")" \
@@ -14,13 +14,8 @@ if command -v sha256sum; then
 else
    echo "WARNING: could not verify checksum, please install sha256sum" >&2
 fi
-./scripts/update_eigen.sh ${ARC}
-rm ${ARC}
-# patch for non-portable includes in Eigen 3.3.5
-# apparently already fixed in Eigen HEAD so it should not be 
-# a problem in the future (A.P.)
-patch Eigen/unsupported/Eigen/CXX11/Tensor scripts/eigen-3.3.5.Tensor.patch
-
+./scripts/update_eigen.sh "${ARC}"
+rm "${ARC}"
 echo '-- generating Make.inc files...'
 ./scripts/filelist
 echo '-- generating configure script...'

examples/Example_plaquette.cc

@@ -0,0 +1,183 @@
+/* 
+ * Example_plaquette.cc                                                               
+ * 
+ * D. Clarke 
+ * 
+ * Here I just want to create an incredibly simple main to get started with GRID and get used
+ * to its syntax. If the reader is like me, they vaguely understand something about lattice coding,
+ * they don't know a ton of C++, don't know much of the fine details, and certainly know nothing about GRID.
+ *
+ * Once you've made a new executable, like this one, you can bootstrap.sh again. At this point,
+ * the code should be able to find your new executable. You can tell that bootstrap.sh worked by
+ * having a look at Make.inc. You should see your executable inside there.
+ *
+ * Warning: This code illustrative only, not well tested, and not meant for production use. The best
+ * way to read this code is to start at the main.
+ * 
+ */
+
+
+// All your mains should have this
+#include <Grid/Grid.h>
+using namespace Grid;
+
+
+// This copies what already exists in WilsonLoops.h. The point here is to be pedagogical and explain in
+// detail what everything does so we can see how GRID works.
+template <class Gimpl> class WLoops : public Gimpl {
+public:
+    // Gimpl seems to be an arbitrary class. Within this class, it is expected that certain types are
+    // already defined, things like Scalar and Field. This macro includes a bunch of #typedefs that
+    // implement this equivalence at compile time.
+    INHERIT_GIMPL_TYPES(Gimpl);
+
+    // Some example Gimpls can be found in GaugeImplementations.h, at the bottom. These are in turn built
+    // out of GaugeImplTypes, which can be found in GaugeImplTypes.h. The GaugeImplTypes contain the base
+    // field/vector/link/whatever types. These inherit from iScalar, iVector, and iMatrix objects, which
+    // are sort of the building blocks for gerenal math objects. The "i" at the beginning of these names
+    // indicates that they should be for internal use only. It seems like these base types have the
+    // acceleration, e.g. SIMD or GPU or what-have-you, abstracted away. How you accelerate these things
+    // appears to be controlled through a template parameter called vtype.
+
+    // The general math/physics objects, such as a color matrix, are built up by nesting these objects.
+    // For instance a general color matrix has two color indices, so it's built up like
+    //     iScalar<iScalar<iMatrix<vtype ...
+    // where the levels going from the inside out are color, spin, then Lorentz indices. Scalars have
+    // no indices, so it's what we use when such an index isn't needed. Lattice objects are made by one
+    // higher level of indexing using iVector.
+
+    // These types will be used for U and U_mu objects, respectively.
+    typedef typename Gimpl::GaugeLinkField GaugeMat;
+    typedef typename Gimpl::GaugeField GaugeLorentz;
+
+    // U_mu_nu(x)
+    static void dirPlaquette(GaugeMat &plaq, const std::vector<GaugeMat> &U, const int mu, const int nu) {
+        // Calls like CovShiftForward and CovShiftBackward have 3 arguments, and they multiply together
+        // the first and last argument. (Second arg gives the shift direction.) The CovShiftIdentityBackward
+        // has meanwhile only two arguments; it just returns the shifted (adjoint since backward) link. 
+        plaq = Gimpl::CovShiftForward(U[mu],mu,
+                   // Means Link*Cshift(field,mu,1), arguments are Link, mu, field in that order.
+                   Gimpl::CovShiftForward(U[nu],nu,
+                       Gimpl::CovShiftBackward(U[mu],mu,
+                           // This means Cshift(adj(Link), mu, -1)
+                           Gimpl::CovShiftIdentityBackward(U[nu], nu))));
+    }
+
+    // tr U_mu_nu(x)
+    static void traceDirPlaquette(ComplexField &plaq, const std::vector<GaugeMat> &U, const int mu, const int nu) {
+        // This .Grid() syntax seems to get the pointer to the GridBase. Apparently this is needed as argument
+        // to instantiate a Lattice object.
+        GaugeMat sp(U[0].Grid());
+        dirPlaquette(sp, U, mu, nu);
+        plaq = trace(sp);
+    }
+
+    // sum_mu_nu tr U_mu_nu(x)
+    static void sitePlaquette(ComplexField &Plaq, const std::vector<GaugeMat> &U) {
+        ComplexField sitePlaq(U[0].Grid());
+        Plaq = Zero();
+        // Nd=4 and Nc=3 are set as global constants in QCD.h
+        for (int mu = 1; mu < Nd; mu++) {
+            for (int nu = 0; nu < mu; nu++) {
+                traceDirPlaquette(sitePlaq, U, mu, nu);
+                Plaq = Plaq + sitePlaq;
+            }
+        }
+    }
+
+    // sum_mu_nu_x Re tr U_mu_nu(x)
+    static RealD sumPlaquette(const GaugeLorentz &Umu) {
+        std::vector<GaugeMat> U(Nd, Umu.Grid());
+        for (int mu = 0; mu < Nd; mu++) {
+            // Umu is a GaugeLorentz object, and as such has a non-trivial Lorentz index. We can
+            // access the element in the mu Lorentz index with this PeekIndex syntax.
+            U[mu] = PeekIndex<LorentzIndex>(Umu, mu);
+        }
+        ComplexField Plaq(Umu.Grid());
+        sitePlaquette(Plaq, U);
+        // I guess this should be the line that sums over all space-time sites.
+        auto Tp = sum(Plaq);
+        // Until now, we have been working with objects inside the tensor nest. This TensorRemove gets
+        // rid of the tensor nest to return whatever is inside.
+        auto p  = TensorRemove(Tp);
+        return p.real();
+    }
+
+    // < Re tr U_mu_nu(x) >
+    static RealD avgPlaquette(const GaugeLorentz &Umu) {
+        // Real double type
+        RealD sumplaq = sumPlaquette(Umu);
+        // gSites() is the number of global sites. there is also lSites() for local sites.
+        double vol = Umu.Grid()->gSites();
+        // The number of orientations. 4*3/2=6 for Nd=4, as known.
+        double faces = (1.0 * Nd * (Nd - 1)) / 2.0;
+        return sumplaq / vol / faces / Nc;
+    }
+};
+
+
+// Next we show an example of how to construct an input parameter class. We first inherit
+// from Serializable. Then all class data members have to be defined using the
+// GRID_SERIALIZABLE_CLASS_MEMBERS macro. This variadic macro allows for arbitrarily many
+// class data members. In the below case, we make a parameter file holding the configuration
+// name. Here, it expects the name to be labeled with "conf_name" in the configuration file. 
+struct ConfParameters: Serializable {
+    GRID_SERIALIZABLE_CLASS_MEMBERS(
+        ConfParameters,
+        std::string, conf_name);
+
+    template <class ReaderClass>
+    ConfParameters(Reader<ReaderClass>& Reader){
+        // If we are reading an XML file, it should be structured like:
+        // <grid>
+        //   <parameters>
+        //     <conf_name>l20t20b06498a_nersc.302500</conf_name>
+        //   </parameters>
+        // </grid>
+        read(Reader, "parameters", *this);
+    }
+};
+
+
+
+// This syntax lets you pass command line arguments to main. An asterisk means that what follows is
+// a pointer. Two asterisks means what follows is a pointer to an array. 
+int main (int argc, char **argv)
+{
+    // This initializes Grid. Some command line options include
+    //   --mpi n.n.n.n
+    //   --threads n
+    //   --grid n.n.n.n
+    Grid_init(&argc, &argv);
+
+    // This is where you would specify a custom lattice size, if not from the command line. Here
+    // Nd is a global quantity that is currently set to 4.
+    Coordinate simd_layout = GridDefaultSimd(Nd,vComplex::Nsimd());
+    Coordinate mpi_layout  = GridDefaultMpi();
+    Coordinate latt_size   = GridDefaultLatt();
+
+    // Instantiate the spacetime Grid on which everything will be built.
+    GridCartesian GRID(latt_size,simd_layout,mpi_layout);
+
+    // The PeriodicGimplD type is what you want for gauge matrices. There is also a LatticeGaugeFieldD
+    // type that you can use, which will work perfectly with what follows. 
+    PeriodicGimplD::Field U(&GRID);
+
+    // Here we read in the parameter file params.json to get conf_name. The last argument is what the
+    // top organizational level is called in the param file. 
+    XmlReader Reader("Example_plaquette.xml",false, "grid");
+    ConfParameters param(Reader);  
+
+    // Load a lattice from SIMULATeQCD into U. SIMULATeQCD finds plaquette = 0.6381995717
+    FieldMetaData header;
+    NerscIO::readConfiguration(U, header, param.conf_name);
+
+    // Let's see what we find.
+    RealD plaq = WLoops<PeriodicGimplD>::avgPlaquette(U);
+
+    // This is how you make log messages.
+    std::cout << GridLogMessage << std::setprecision(std::numeric_limits<Real>::digits10 + 1) << "Plaquette = " << plaq << std::endl;
+
+    // To wrap things up.
+    Grid_finalize();
+}

m4/ax_cxx_compile_stdcxx_14.m4

@@ -0,0 +1,34 @@
+# =============================================================================
+#  https://www.gnu.org/software/autoconf-archive/ax_cxx_compile_stdcxx_14.html
+# =============================================================================
+#
+# SYNOPSIS
+#
+#   AX_CXX_COMPILE_STDCXX_14([ext|noext], [mandatory|optional])
+#
+# DESCRIPTION
+#
+#   Check for baseline language coverage in the compiler for the C++14
+#   standard; if necessary, add switches to CXX and CXXCPP to enable
+#   support.
+#
+#   This macro is a convenience alias for calling the AX_CXX_COMPILE_STDCXX
+#   macro with the version set to C++14.  The two optional arguments are
+#   forwarded literally as the second and third argument respectively.
+#   Please see the documentation for the AX_CXX_COMPILE_STDCXX macro for
+#   more information.  If you want to use this macro, you also need to
+#   download the ax_cxx_compile_stdcxx.m4 file.
+#
+# LICENSE
+#
+#   Copyright (c) 2015 Moritz Klammler <moritz@klammler.eu>
+#
+#   Copying and distribution of this file, with or without modification, are
+#   permitted in any medium without royalty provided the copyright notice
+#   and this notice are preserved. This file is offered as-is, without any
+#   warranty.
+
+#serial 5
+
+AX_REQUIRE_DEFINED([AX_CXX_COMPILE_STDCXX])
+AC_DEFUN([AX_CXX_COMPILE_STDCXX_14], [AX_CXX_COMPILE_STDCXX([14], [$1], [$2])])

scripts/eigen-3.3.5.Tensor.patch

@@ -1,19 +0,0 @@
---- ./Eigen/unsupported/Eigen/CXX11/Tensor	2018-07-23 10:33:42.000000000 +0100
-+++ Tensor	2018-08-28 16:15:56.000000000 +0100
-@@ -25,7 +25,7 @@
- #include <utility>
- #endif
- 
--#include <Eigen/src/Core/util/DisableStupidWarnings.h>
-+#include "../../../Eigen/src/Core/util/DisableStupidWarnings.h"
- 
- #include "../SpecialFunctions"
- #include "src/util/CXX11Meta.h"
-@@ -147,6 +147,6 @@
- 
- #include "src/Tensor/TensorIO.h"
- 
--#include <Eigen/src/Core/util/ReenableStupidWarnings.h>
-+#include "../../../Eigen/src/Core/util/ReenableStupidWarnings.h"
- 
- //#endif // EIGEN_CXX11_TENSOR_MODULE

scripts/prequisites.sh

@@ -1,44 +0,0 @@
-#!/bin/bash
-
-if [ $1 = "install" ]
-then
-    dir=`pwd`
-    cd $HOME
-    git clone -c feature.manyFiles=true https://github.com/spack/spack.git
-    source $HOME/spack/share/spack/setup-env.sh
-
-    spack install autoconf
-    spack install automake
-    spack install c-lime cppflags=-fPIE
-    spack install fftw
-    spack install llvm
-    spack install gmp
-    spack install mpfr
-    spack install cuda@11.8
-    spack install openmpi
-    spack install openssl
-    spack install hdf5
-else
-    source $HOME/spack/share/spack/setup-env.sh
-fi
-
-spack load autoconf
-spack load automake
-spack load c-lime
-spack load fftw
-spack load llvm
-spack load gmp
-spack load mpfr
-spack load cuda@11.8
-spack load openmpi
-spack load openssl
-spack load hdf5
-
-export FFTW=`spack find --paths fftw    | grep ^fftw   | awk '{print $2}' `
-export HDF5=`spack find --paths hdf5    | grep ^hdf5   | awk '{print $2}' `
-export CLIME=`spack find --paths c-lime | grep ^c-lime | awk '{print $2}' `
-export MPFR=`spack find --paths mpfr    | grep ^mpfr  | awk '{print $2}' `
-export GMP=`spack find --paths gmp      | grep ^gmp | awk '{print $2}' `
-export NVIDIA=$CUDA_HOME
-export NVIDIALIB=$NVIDIA/targets/x86_64-linux/lib/
-export LD_LIBRARY_PATH=$NVIDIALIB:$FFTW/lib/:$MPFR/lib:$LD_LIBRARY_PATH

systems/Aurora/benchmarks/bench1024.pbs

@@ -0,0 +1,60 @@
+#!/bin/bash
+
+## qsub -q EarlyAppAccess -A Aurora_Deployment -I -l select=1 -l walltime=60:00
+
+#PBS -q EarlyAppAccess
+#PBS -l select=1024
+#PBS -l walltime=01:00:00
+#PBS -A LatticeQCD_aesp_CNDA
+
+#export OMP_PROC_BIND=spread
+#unset OMP_PLACES
+
+cd $PBS_O_WORKDIR
+
+source ../sourceme.sh
+
+cat $PBS_NODEFILE
+
+export OMP_NUM_THREADS=3
+export MPIR_CVAR_CH4_OFI_ENABLE_GPU_PIPELINE=1
+
+#unset MPIR_CVAR_CH4_OFI_GPU_PIPELINE_D2H_ENGINE_TYPE
+#unset MPIR_CVAR_CH4_OFI_GPU_PIPELINE_H2D_ENGINE_TYPE
+#unset MPIR_CVAR_GPU_USE_IMMEDIATE_COMMAND_LIST
+
+export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_D2H_ENGINE_TYPE=0
+export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_H2D_ENGINE_TYPE=0
+#export MPIR_CVAR_GPU_USE_IMMEDIATE_COMMAND_LIST=1
+export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_BUFFER_SZ=1048576
+export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_THRESHOLD=131072
+export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_NUM_BUFFERS_PER_CHUNK=16
+export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_MAX_NUM_BUFFERS=16
+export MPICH_OFI_NIC_POLICY=GPU
+export FI_CXI_CQ_FILL_PERCENT=10
+export FI_CXI_DEFAULT_CQ_SIZE=262144
+#export FI_CXI_DEFAULT_CQ_SIZE=131072
+#export FI_CXI_CQ_FILL_PERCENT=20
+
+# 12 ppn, 32 nodes, 384 ranks
+#
+CMD="mpiexec -np 12288 -ppn 12  -envall \
+	     ./gpu_tile_compact.sh \
+	     ./Benchmark_comms_host_device --mpi 8.6.16.16 --grid 64.48.64.284 \
+		--shm-mpi 1 --shm 2048 --device-mem 32000 --accelerator-threads 32"
+
+$CMD 
+
+CMD="mpiexec -np 12288 -ppn 12  -envall \
+	     ./gpu_tile_compact.sh \
+	     ./Benchmark_dwf_fp32 --mpi 8.8.8.24 --grid 128.128.128.384 \
+		--shm-mpi 1 --shm 2048 --device-mem 32000 --accelerator-threads 32 --comms-overlap"
+$CMD | tee 1024node.dwf.small.cq
+
+CMD="mpiexec -np 12288 -ppn 12  -envall \
+	     ./gpu_tile_compact.sh \
+	     ./Benchmark_dwf_fp32 --mpi 16.8.8.12 --grid 256.256.256.384 \
+		--shm-mpi 1 --shm 2048 --device-mem 32000 --accelerator-threads 32 --comms-overlap"
+$CMD | tee 1024node.dwf.cq
+
+

systems/Aurora/benchmarks/bench12.pbs

@@ -0,0 +1,60 @@
+#!/bin/bash
+
+## qsub -q EarlyAppAccess -A Aurora_Deployment -I -l select=1 -l walltime=60:00
+
+#PBS -q EarlyAppAccess
+#PBS -l select=2
+#PBS -l walltime=01:00:00
+#PBS -A LatticeQCD_aesp_CNDA
+
+#export OMP_PROC_BIND=spread
+#unset OMP_PLACES
+
+cd $PBS_O_WORKDIR
+
+source ../sourceme.sh
+
+export OMP_NUM_THREADS=3
+export MPIR_CVAR_CH4_OFI_ENABLE_GPU_PIPELINE=1
+
+
+#unset MPIR_CVAR_CH4_OFI_GPU_PIPELINE_D2H_ENGINE_TYPE
+#unset MPIR_CVAR_CH4_OFI_GPU_PIPELINE_H2D_ENGINE_TYPE
+#unset MPIR_CVAR_GPU_USE_IMMEDIATE_COMMAND_LIST
+
+export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_D2H_ENGINE_TYPE=0
+export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_H2D_ENGINE_TYPE=0
+export MPIR_CVAR_GPU_USE_IMMEDIATE_COMMAND_LIST=1
+export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_BUFFER_SZ=1048576
+export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_THRESHOLD=131072
+export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_NUM_BUFFERS_PER_CHUNK=16
+export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_MAX_NUM_BUFFERS=16
+export MPICH_OFI_NIC_POLICY=GPU
+
+CMD="mpiexec -np 24 -ppn 12  -envall \
+	     ./gpu_tile_compact.sh \
+	     ./Benchmark_comms_host_device --mpi 2.3.2.2 --grid 32.24.32.192 \
+		--shm-mpi 1 --shm 2048 --device-mem 32000 --accelerator-threads 32"
+
+#$CMD 
+
+CMD="mpiexec -np 24 -ppn 12  -envall \
+	     ./gpu_tile_compact.sh \
+	     ./Benchmark_dwf_fp32 --mpi 2.3.2.2 --grid 64.96.64.64 --comms-overlap \
+		--shm-mpi 1 --shm 2048 --device-mem 32000 --accelerator-threads 32"
+
+#$CMD 
+
+CMD="mpiexec -np 1 -ppn 1  -envall \
+	     ./gpu_tile_compact.sh \
+	     ./Benchmark_dwf --mpi 1.1.1.1 --grid 16.32.32.32 --comms-sequential \
+		--shm-mpi 1 --shm 2048 --device-mem 32000 --accelerator-threads 32"
+
+$CMD 
+
+CMD="mpiexec -np 1 -ppn 1  -envall \
+	     ./gpu_tile_compact.sh \
+	     ./Benchmark_dwf_fp32 --mpi 1.1.1.1 --grid 16.32.32.32 --comms-sequential \
+		--shm-mpi 1 --shm 2048 --device-mem 32000 --accelerator-threads 32"
+
+$CMD 

systems/Aurora/benchmarks/bench2048.pbs

@@ -0,0 +1,56 @@
+#!/bin/bash
+
+## qsub -q EarlyAppAccess -A Aurora_Deployment -I -l select=1 -l walltime=60:00
+
+#PBS -q EarlyAppAccess
+#PBS -l select=2048
+#PBS -l walltime=01:00:00
+#PBS -A LatticeQCD_aesp_CNDA
+
+#export OMP_PROC_BIND=spread
+#unset OMP_PLACES
+
+cd $PBS_O_WORKDIR
+
+source ../sourceme.sh
+
+cat $PBS_NODEFILE
+
+export OMP_NUM_THREADS=3
+export MPIR_CVAR_CH4_OFI_ENABLE_GPU_PIPELINE=1
+
+#unset MPIR_CVAR_CH4_OFI_GPU_PIPELINE_D2H_ENGINE_TYPE
+#unset MPIR_CVAR_CH4_OFI_GPU_PIPELINE_H2D_ENGINE_TYPE
+#unset MPIR_CVAR_GPU_USE_IMMEDIATE_COMMAND_LIST
+
+export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_D2H_ENGINE_TYPE=0
+export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_H2D_ENGINE_TYPE=0
+export MPIR_CVAR_GPU_USE_IMMEDIATE_COMMAND_LIST=1
+export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_BUFFER_SZ=1048576
+export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_THRESHOLD=131072
+export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_NUM_BUFFERS_PER_CHUNK=16
+export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_MAX_NUM_BUFFERS=16
+export MPICH_OFI_NIC_POLICY=GPU
+
+# 12 ppn, 32 nodes, 384 ranks
+#
+CMD="mpiexec -np 24576 -ppn 12  -envall \
+	     ./gpu_tile_compact.sh \
+	     ./Benchmark_comms_host_device --mpi 8.12.16.16 --grid 64.48.64.284 \
+		--shm-mpi 1 --shm 2048 --device-mem 32000 --accelerator-threads 32"
+
+$CMD 
+
+CMD="mpiexec -np 24576 -ppn 12  -envall \
+	     ./gpu_tile_compact.sh \
+	     ./Benchmark_dwf_fp32 --mpi 16.8.8.24 --grid 128.128.128.384 \
+		--shm-mpi 1 --shm 2048 --device-mem 32000 --accelerator-threads 32 --comms-overlap"
+$CMD | tee 2048node.dwf.small
+
+CMD="mpiexec -np 24576 -ppn 12  -envall \
+	     ./gpu_tile_compact.sh \
+	     ./Benchmark_dwf_fp32 --mpi 16.8.8.24 --grid 256.256.256.768 \
+		--shm-mpi 1 --shm 2048 --device-mem 32000 --accelerator-threads 32 --comms-overlap"
+$CMD | tee 2048node.dwf
+
+

systems/Aurora/benchmarks/bench256.pbs

@@ -0,0 +1,48 @@
+#!/bin/bash
+
+## qsub -q EarlyAppAccess -A Aurora_Deployment -I -l select=1 -l walltime=60:00
+
+#PBS -q EarlyAppAccess
+#PBS -l select=256
+#PBS -l walltime=01:00:00
+#PBS -A LatticeQCD_aesp_CNDA
+
+#export OMP_PROC_BIND=spread
+#unset OMP_PLACES
+
+cd $PBS_O_WORKDIR
+
+source ../sourceme.sh
+
+cat $PBS_NODEFILE
+
+export OMP_NUM_THREADS=3
+export MPIR_CVAR_CH4_OFI_ENABLE_GPU_PIPELINE=1
+
+#unset MPIR_CVAR_CH4_OFI_GPU_PIPELINE_D2H_ENGINE_TYPE
+#unset MPIR_CVAR_CH4_OFI_GPU_PIPELINE_H2D_ENGINE_TYPE
+#unset MPIR_CVAR_GPU_USE_IMMEDIATE_COMMAND_LIST
+
+export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_D2H_ENGINE_TYPE=0
+export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_H2D_ENGINE_TYPE=0
+export MPIR_CVAR_GPU_USE_IMMEDIATE_COMMAND_LIST=1
+export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_BUFFER_SZ=1048576
+export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_THRESHOLD=131072
+export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_NUM_BUFFERS_PER_CHUNK=16
+export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_MAX_NUM_BUFFERS=16
+export MPICH_OFI_NIC_POLICY=GPU
+
+# 12 ppn, 32 nodes, 384 ranks
+#
+CMD="mpiexec -np 3072 -ppn 12  -envall \
+	     ./gpu_tile_compact.sh \
+	     ./Benchmark_comms_host_device --mpi 8.6.8.8 --grid 32.24.32.192 \
+		--shm-mpi 1 --shm 2048 --device-mem 32000 --accelerator-threads 32"
+
+$CMD 
+
+CMD="mpiexec -np 3072 -ppn 12  -envall \
+	     ./gpu_tile_compact.sh \
+	     ./Benchmark_dwf_fp32 --mpi 8.8.4.12 --grid 128.128.128.768 \
+		--shm-mpi 1 --shm 2048 --device-mem 32000 --accelerator-threads 32 --comms-overlap"
+$CMD | tee 256node.dwf.large

systems/Aurora/benchmarks/bench512.pbs

@@ -0,0 +1,48 @@
+#!/bin/bash
+
+## qsub -q EarlyAppAccess -A Aurora_Deployment -I -l select=1 -l walltime=60:00
+
+#PBS -q EarlyAppAccess
+#PBS -l select=512
+#PBS -l walltime=01:00:00
+#PBS -A LatticeQCD_aesp_CNDA
+
+#export OMP_PROC_BIND=spread
+#unset OMP_PLACES
+
+cd $PBS_O_WORKDIR
+
+source ../sourceme.sh
+
+cat $PBS_NODEFILE
+
+export OMP_NUM_THREADS=3
+export MPIR_CVAR_CH4_OFI_ENABLE_GPU_PIPELINE=1
+
+#unset MPIR_CVAR_CH4_OFI_GPU_PIPELINE_D2H_ENGINE_TYPE
+#unset MPIR_CVAR_CH4_OFI_GPU_PIPELINE_H2D_ENGINE_TYPE
+#unset MPIR_CVAR_GPU_USE_IMMEDIATE_COMMAND_LIST
+
+export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_D2H_ENGINE_TYPE=0
+export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_H2D_ENGINE_TYPE=0
+export MPIR_CVAR_GPU_USE_IMMEDIATE_COMMAND_LIST=1
+export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_BUFFER_SZ=1048576
+export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_THRESHOLD=131072
+export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_NUM_BUFFERS_PER_CHUNK=16
+export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_MAX_NUM_BUFFERS=16
+export MPICH_OFI_NIC_POLICY=GPU
+
+# 12 ppn, 32 nodes, 384 ranks
+#
+CMD="mpiexec -np 6144 -ppn 12  -envall \
+	     ./gpu_tile_compact.sh \
+	     ./Benchmark_comms_host_device --mpi 8.6.8.16 --grid 32.24.32.192 \
+		--shm-mpi 1 --shm 2048 --device-mem 32000 --accelerator-threads 32"
+
+$CMD 
+
+CMD="mpiexec -np 6144 -ppn 12  -envall \
+	     ./gpu_tile_compact.sh \
+	     ./Benchmark_dwf_fp32 --mpi 8.8.8.12 --grid 256.128.128.768 \
+		--shm-mpi 1 --shm 2048 --device-mem 32000 --accelerator-threads 32 --comms-overlap"
+$CMD | tee 512node.dwf.large

systems/Aurora/benchmarks/bench_scaling.pbs

@@ -0,0 +1,80 @@
+#!/bin/bash
+
+## qsub -q EarlyAppAccess -A Aurora_Deployment -I -l select=1 -l walltime=60:00
+
+#PBS -q EarlyAppAccess
+#PBS -l select=32
+#PBS -l walltime=01:00:00
+#PBS -A LatticeQCD_aesp_CNDA
+
+#export OMP_PROC_BIND=spread
+#unset OMP_PLACES
+
+cd $PBS_O_WORKDIR
+
+source ../sourceme.sh
+
+cat $PBS_NODEFILE
+
+export OMP_NUM_THREADS=3
+export MPIR_CVAR_CH4_OFI_ENABLE_GPU_PIPELINE=1
+
+#unset MPIR_CVAR_CH4_OFI_GPU_PIPELINE_D2H_ENGINE_TYPE
+#unset MPIR_CVAR_CH4_OFI_GPU_PIPELINE_H2D_ENGINE_TYPE
+#unset MPIR_CVAR_GPU_USE_IMMEDIATE_COMMAND_LIST
+
+export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_D2H_ENGINE_TYPE=0
+export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_H2D_ENGINE_TYPE=0
+export MPIR_CVAR_GPU_USE_IMMEDIATE_COMMAND_LIST=1
+export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_BUFFER_SZ=1048576
+export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_THRESHOLD=131072
+export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_NUM_BUFFERS_PER_CHUNK=16
+export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_MAX_NUM_BUFFERS=16
+export MPICH_OFI_NIC_POLICY=GPU
+
+# 12 ppn, 32 nodes, 384 ranks
+#
+CMD="mpiexec -np 384 -ppn 12  -envall \
+	     ./gpu_tile_compact.sh \
+	     ./Benchmark_comms_host_device --mpi 4.6.4.4 --grid 32.24.32.192 \
+		--shm-mpi 1 --shm 2048 --device-mem 32000 --accelerator-threads 32"
+
+$CMD 
+
+CMD="mpiexec -np 12 -ppn 12  -envall \
+	     ./gpu_tile_compact.sh \
+	     ./Benchmark_dwf_fp32 --mpi 1.2.2.3 --grid 16.64.64.96 \
+		--shm-mpi 1 --shm 2048 --device-mem 32000 --accelerator-threads 32 --comms-overlap"
+$CMD | tee 1node.dwf
+
+
+CMD="mpiexec -np 24 -ppn 12  -envall \
+	     ./gpu_tile_compact.sh \
+	     ./Benchmark_dwf_fp32 --mpi 2.2.2.3 --grid 32.64.64.96 \
+		--shm-mpi 1 --shm 2048 --device-mem 32000 --accelerator-threads 32 --comms-overlap"
+$CMD | tee 2node.dwf
+
+CMD="mpiexec -np 48 -ppn 12  -envall \
+	     ./gpu_tile_compact.sh \
+	     ./Benchmark_dwf_fp32 --mpi 2.2.2.6 --grid 32.64.64.192 \
+		--shm-mpi 1 --shm 2048 --device-mem 32000 --accelerator-threads 32 --comms-overlap"
+$CMD | tee 4node.dwf
+
+CMD="mpiexec -np 96 -ppn 12  -envall \
+	     ./gpu_tile_compact.sh \
+	     ./Benchmark_dwf_fp32 --mpi 2.2.4.6 --grid 32.64.128.192 \
+		--shm-mpi 1 --shm 2048 --device-mem 32000 --accelerator-threads 32 --comms-overlap"
+$CMD | tee 8node.dwf
+
+CMD="mpiexec -np 192 -ppn 12  -envall \
+	     ./gpu_tile_compact.sh \
+	     ./Benchmark_dwf_fp32 --mpi 2.4.4.6 --grid 32.128.128.192 \
+		--shm-mpi 1 --shm 2048 --device-mem 32000 --accelerator-threads 32 --comms-overlap"
+$CMD | tee 16node.dwf
+
+
+CMD="mpiexec -np 384 -ppn 12  -envall \
+	     ./gpu_tile_compact.sh \
+	     ./Benchmark_dwf_fp32 --mpi 4.4.4.6 --grid 64.128.128.192 \
+		--shm-mpi 1 --shm 2048 --device-mem 32000 --accelerator-threads 32 --comms-overlap"
+$CMD | tee 32node.dwf

systems/Aurora/benchmarks/gpu_tile_compact.sh

@@ -0,0 +1,33 @@
+#!/bin/bash
+
+export NUMA_MAP=(2 2 2 3 3 3 2 2 2 3 3 3 )
+#export NUMA_MAP=(0 0 0 1 1 1 0 0 0 1 1 1 )
+export NUMA_PMAP=(0 0 0 1 1 1 0 0 0 1 1 1 )
+export  NIC_MAP=(0 1 2 4 5 6 0 1 2 4 5 6 )
+export  GPU_MAP=(0 1 2 3 4 5 0 1 2 3 4 5 )
+export TILE_MAP=(0 0 0 0 0 0 1 1 1 1 1 1 )
+
+export NUMA=${NUMA_MAP[$PALS_LOCAL_RANKID]}
+export NUMAP=${NUMA_PMAP[$PALS_LOCAL_RANKID]}
+export NIC=${NIC_MAP[$PALS_LOCAL_RANKID]}
+export gpu_id=${GPU_MAP[$PALS_LOCAL_RANKID]}
+export tile_id=${TILE_MAP[$PALS_LOCAL_RANKID]}
+  
+#export GRID_MPICH_NIC_BIND=$NIC
+#export ONEAPI_DEVICE_SELECTOR=level_zero:$gpu_id.$tile_id
+
+unset EnableWalkerPartition
+export EnableImplicitScaling=0
+export ZE_AFFINITY_MASK=$gpu_id.$tile_id
+export ONEAPI_DEVICE_FILTER=gpu,level_zero
+
+#export ZE_ENABLE_PCI_ID_DEVICE_ORDER=1
+#export SYCL_PI_LEVEL_ZERO_DEVICE_SCOPE_EVENTS=0
+#export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
+#export SYCL_PI_LEVEL_ZERO_USE_COPY_ENGINE=0:2
+#export SYCL_PI_LEVEL_ZERO_USE_COPY_ENGINE_FOR_D2D_COPY=1
+#export SYCL_PI_LEVEL_ZERO_USM_RESIDENT=1
+
+#echo "rank $PALS_RANKID ; local rank $PALS_LOCAL_RANKID ; ZE_AFFINITY_MASK=$ZE_AFFINITY_MASK ; NUMA $NUMA "
+
+numactl -m $NUMA -N $NUMAP  "$@"

systems/Aurora/benchmarks/gpu_tile_compact4.sh

@@ -0,0 +1,29 @@
+#!/bin/bash
+
+export  NUMA_MAP=(2 2 3 3  2 2  3 3  )
+export  PROC_MAP=(0 0 1 1  0 0  1 1  )
+export  NIC_MAP=(0 0  4 4  1 1  5 5  )
+export  GPU_MAP=(0 1  3 4  0 1  3 4  )
+export TILE_MAP=(0 0  0 0  1 1  1 1  )
+export NUMA=${NUMA_MAP[$PALS_LOCAL_RANKID]}
+export NIC=${NIC_MAP[$PALS_LOCAL_RANKID]}
+export gpu_id=${GPU_MAP[$PALS_LOCAL_RANKID]}
+export tile_id=${TILE_MAP[$PALS_LOCAL_RANKID]}
+  
+#export GRID_MPICH_NIC_BIND=$NIC
+
+unset EnableWalkerPartition
+export EnableImplicitScaling=0
+export ZE_ENABLE_PCI_ID_DEVICE_ORDER=1
+export ZE_AFFINITY_MASK=$gpu_id.$tile_id
+#export ONEAPI_DEVICE_SELECTOR=level_zero:$gpu_id.$tile_id
+export ONEAPI_DEVICE_FILTER=gpu,level_zero
+export SYCL_PI_LEVEL_ZERO_DEVICE_SCOPE_EVENTS=0
+export SYCL_PI_LEVEL_ZERO_USE_IMMEDIATE_COMMANDLISTS=1
+export SYCL_PI_LEVEL_ZERO_USE_COPY_ENGINE=0:2
+export SYCL_PI_LEVEL_ZERO_USE_COPY_ENGINE_FOR_D2D_COPY=1
+#export SYCL_PI_LEVEL_ZERO_USM_RESIDENT=1
+
+echo "rank $PALS_RANKID ; local rank $PALS_LOCAL_RANKID ; ZE_AFFINITY_MASK=$ZE_AFFINITY_MASK ; NIC $GRID_MPICH_NIC_BIND ; NUMA domain $NUMA"
+
+numactl -m $NUMA -N $PROC_MAP  "$@"

systems/Aurora/config-command

@@ -0,0 +1,16 @@
+TOOLS=$HOME/tools
+../../configure \
+	--enable-simd=GPU \
+	--enable-gen-simd-width=64 \
+	--enable-comms=mpi-auto \
+	--enable-accelerator-cshift \
+	--disable-gparity \
+	--disable-fermion-reps \
+	--enable-shm=nvlink \
+	--enable-accelerator=sycl \
+	--enable-unified=no \
+	MPICXX=mpicxx \
+	CXX=icpx \
+	LDFLAGS="-fiopenmp -fsycl -fsycl-device-code-split=per_kernel -fsycl-device-lib=all -lze_loader -L$TOOLS/lib64/ -L${MKLROOT}/lib -qmkl=parallel " \
+	CXXFLAGS="-fiopenmp -fsycl-unnamed-lambda -fsycl -I$INSTALL/include -Wno-tautological-compare -I$HOME/ -I$TOOLS/include -qmkl=parallel"
+

systems/Aurora/proxies.sh

@@ -0,0 +1,9 @@
+export HTTP_PROXY=http://proxy.alcf.anl.gov:3128
+export HTTPS_PROXY=http://proxy.alcf.anl.gov:3128
+export http_proxy=http://proxy.alcf.anl.gov:3128
+export https_proxy=http://proxy.alcf.anl.gov:3128
+export MPIR_CVAR_CH4_OFI_ENABLE_HMEM=1
+git config --global http.proxy http://proxy.alcf.anl.gov:3128
+module use /soft/modulefiles
+module load intel_compute_runtime/release/agama-devel-682.22
+ 

systems/Aurora/sourceme.sh

@@ -0,0 +1,26 @@
+#export ONEAPI_DEVICE_SELECTOR=level_zero:0.0
+
+module use /soft/modulefiles
+module load intel_compute_runtime/release/agama-devel-682.22
+
+export FI_CXI_DEFAULT_CQ_SIZE=131072
+export FI_CXI_CQ_FILL_PERCENT=20
+
+export SYCL_PROGRAM_COMPILE_OPTIONS="-ze-opt-large-register-file"
+#export SYCL_PROGRAM_COMPILE_OPTIONS="-ze-intel-enable-auto-large-GRF-mode"
+
+#
+# -ftarget-register-alloc-mode=pvc:default 
+# -ftarget-register-alloc-mode=pvc:small
+# -ftarget-register-alloc-mode=pvc:large
+# -ftarget-register-alloc-mode=pvc:auto
+#
+
+export HTTP_PROXY=http://proxy.alcf.anl.gov:3128
+export HTTPS_PROXY=http://proxy.alcf.anl.gov:3128
+export http_proxy=http://proxy.alcf.anl.gov:3128
+export https_proxy=http://proxy.alcf.anl.gov:3128
+#export MPIR_CVAR_CH4_OFI_ENABLE_HMEM=1
+git config --global http.proxy http://proxy.alcf.anl.gov:3128
+
+export SYCL_PROGRAM_COMPILE_OPTIONS="-ze-opt-large-register-file"

systems/Aurora/tests/repro16.pbs

@@ -0,0 +1,40 @@
+#!/bin/bash
+
+## qsub -q EarlyAppAccess -A Aurora_Deployment -I -l select=1 -l walltime=60:00
+
+#PBS -q EarlyAppAccess
+#PBS -l select=16
+#PBS -l walltime=01:00:00
+#PBS -A LatticeQCD_aesp_CNDA
+
+#export OMP_PROC_BIND=spread
+#unset OMP_PLACES
+
+cd $PBS_O_WORKDIR
+
+source ../sourceme.sh
+
+cat $PBS_NODEFILE
+
+export OMP_NUM_THREADS=3
+export MPIR_CVAR_CH4_OFI_ENABLE_GPU_PIPELINE=1
+
+#unset MPIR_CVAR_CH4_OFI_GPU_PIPELINE_D2H_ENGINE_TYPE
+#unset MPIR_CVAR_CH4_OFI_GPU_PIPELINE_H2D_ENGINE_TYPE
+#unset MPIR_CVAR_GPU_USE_IMMEDIATE_COMMAND_LIST
+
+export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_D2H_ENGINE_TYPE=0
+export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_H2D_ENGINE_TYPE=0
+export MPIR_CVAR_GPU_USE_IMMEDIATE_COMMAND_LIST=1
+export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_BUFFER_SZ=1048576
+export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_THRESHOLD=131072
+export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_NUM_BUFFERS_PER_CHUNK=16
+export MPIR_CVAR_CH4_OFI_GPU_PIPELINE_MAX_NUM_BUFFERS=16
+export MPICH_OFI_NIC_POLICY=GPU
+
+# 12 ppn, 16 nodes, 192 ranks
+CMD="mpiexec -np 192 -ppn 12  -envall \
+	     ./gpu_tile_compact.sh \
+	     ./Test_dwf_mixedcg_prec --mpi 2.4.4.6 --grid 64.128.128.192 \
+		--shm-mpi 1 --shm 4096 --device-mem 32000 --accelerator-threads 32 --seconds 3000"
+$CMD