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Author SHA1 Message Date
351795ac3a Better messaging 2023-10-20 19:33:04 -04:00
9c9c42d0df Tests on frontier with real speed up . 3.5x on 16^3 at mq=0.01 2023-10-20 19:27:13 -04:00
b6ad1bafc7 Normal memory SendToRecvFrom asynchronous for use in general stencil
code
2023-10-20 19:27:13 -04:00
a5ca40f446 Better verbose -- track CPU GPU motion under --log Memory, others go to
debug output stream
2023-10-20 19:27:13 -04:00
9ab54c5565 Overlap comms & data copy/buffer assembly in Ghost zone exchange 2023-10-20 19:27:13 -04:00
4341d96bde Massively sped up coarse grid mult, comms
Save 3ms spend (60% of time !) on cudaMalloc !!
2023-10-20 19:27:13 -04:00
5fac47a26d Faster halo exchange 2023-10-20 19:27:13 -04:00
e064f17346 Faster halo exchange 2023-10-20 19:27:13 -04:00
afe10ba2a2 More digits 2023-10-20 19:27:13 -04:00
7cc3435ba8 Imporved General coarsened matrix 2023-10-20 19:27:13 -04:00
541772313c Verbosity 2023-10-20 19:27:13 -04:00
3747494a09 Notify delet public 2023-10-20 19:27:13 -04:00
f2b98d0dcc Const safety 2023-10-20 19:27:13 -04:00
80471bf762 Alternate implementation involving face operations 2023-10-20 19:27:13 -04:00
a06f63c110 Improved I/O and non-lexico option exposed to SciDAC format 2023-10-20 19:27:13 -04:00
0ae4478cd9 Checkpoint the subspace and ldop 2023-10-20 19:27:13 -04:00
ae4e705e09 Use random vec as easier for debug 2023-10-20 19:27:13 -04:00
f5dcea9dbf Updates for Frontier 2023-10-20 19:27:12 -04:00
2207309f8a Spack rules 2023-10-16 18:38:24 -04:00
2111e7ab5f Run at physical mass 2023-10-06 21:20:21 -04:00
d29abfdcaf Transfer code to Frontier now 2023-10-06 21:03:34 -04:00
a751c42cc5 Checkpoint restore the setup 2023-10-06 21:03:08 -04:00
6a3bc9865e Verbose change 2023-10-06 21:02:04 -04:00
4d5f7e4377 Verbose change 2023-10-06 21:01:37 -04:00
78b117fb78 Comment fix 2023-10-06 21:01:15 -04:00
ded63a1319 Verbose change/pretty print 2023-10-06 21:00:53 -04:00
df3e4d1e9c Return fix 2023-10-06 21:00:21 -04:00
b58fd80379 I/O for coarse op and reorganise multigrid headers 2023-10-06 13:43:46 -04:00
7f6e0f57d0 No IO in file 2023-10-06 13:39:53 -04:00
cae27678d8 gpermute 2023-10-06 13:39:19 -04:00
48ff655bad Slightly less verbose 2023-10-06 10:47:52 -04:00
2525ad4623 Slight clean up 2023-10-06 10:47:32 -04:00
e7020017c5 Reorganise multigrid 2023-10-06 10:47:12 -04:00
eacebfad74 Reorganise multigrid into multiple headers 2023-10-06 10:46:21 -04:00
3bc2da5321 Merge branch 'feature/scidac-wp1' of https://github.com/paboyle/Grid into feature/scidac-wp1 2023-10-05 16:57:59 -04:00
2d710d6bfd Optimised parameters for 16^3 2023-10-05 16:56:55 -04:00
6532b7f32b Eliminate older inefficient coarsening implementation 2023-10-05 16:56:15 -04:00
7b41b92d99 Only need to bad non-local dimensions 2023-10-05 16:55:48 -04:00
dd557af84b ADEF1 and ADEF2 2 level CG 2023-10-05 16:55:19 -04:00
59b9d0e030 coalesceRead the blockSum 2023-10-05 16:54:48 -04:00
b82eee4733 Hermitian dealing with 2023-10-05 16:54:14 -04:00
6a87487544 Running on Frontier, fix RNG big volume y2k, affecting 5D RNG 2023-10-05 16:50:59 -04:00
fcf5023845 Running on Frontier 2023-10-05 16:50:59 -04:00
c8adad6d8b First runs on Summit. PopulateAdag needs work 2023-10-05 16:50:54 -04:00
737d3ffb98 ADEF1 and 1 hop projection 2023-10-03 14:22:18 -04:00
b01e67bab1 coalescedReadGeneralPermute now working 2023-10-02 17:46:57 -04:00
8a70314f54 Merge branch 'develop' into feature/scidac-wp1 2023-10-02 17:24:55 -04:00
36ae6e5aba Fastest GPU version.
Need to work on the PaddedCell now to make much faster
2023-09-29 18:26:51 -04:00
9db585cfeb Temporary commit while optimisation is carried out 2023-09-29 17:11:35 -04:00
c564611ba7 Annoying hack that is useful to preserve for profiling 2023-09-29 17:11:12 -04:00
e187bcb85c Updating 2023-09-29 17:10:17 -04:00
be18ffe3b4 Further tuning and lanczos 2023-09-27 16:21:58 -04:00
0d63dce4e2 Timing info 2023-09-27 16:21:14 -04:00
26b30e1551 Flop count and projection to nearest neighbour (keeps redundant flops) 2023-09-27 16:20:11 -04:00
7fc58ac293 Verbose subspace init 2023-09-27 16:19:45 -04:00
3a86cce8c1 Compile 2023-09-27 16:19:18 -04:00
37884d369f Coarse space is expensive, but gives a speed up in fine matrix multiplies now.
Down to optimisation
2023-09-25 17:24:19 -04:00
9246e653cd Basic non-local coarsening of operator test 2023-09-25 17:20:58 -04:00
64283c8673 Normal equations becomes linear function for easy base class pass aroudn 2023-09-25 17:19:39 -04:00
755002da9c Comparison convenience 2023-09-25 17:16:33 -04:00
31b8e8b437 Better messaging 2023-09-25 17:16:14 -04:00
0ec0de97e6 Adef2 implemented and working in an HDCG like context 2023-09-25 17:15:03 -04:00
6c3ade5d89 Improved the coarsening 2023-09-25 17:14:40 -04:00
980c5f9a34 Update chebyshev setup 2023-09-25 17:12:22 -04:00
471ca5f281 Power method more iterations 2023-09-07 10:55:05 -04:00
e82ddcff5d Working getting closer to HDCG but some low level engineering work still needed
+ MUCH work on optimisation
2023-09-07 10:53:51 -04:00
b9dcad89e8 Test cases for coarsening with non-local stencil 2023-09-07 10:53:22 -04:00
993f43ef4a Even odd use case 2023-09-07 10:53:06 -04:00
2b43308208 First cut non-local coarsening 2023-08-25 17:38:07 -04:00
04a1ac3a76 First cut for non-local coarsening 2023-08-25 17:37:38 -04:00
990b8798bd Merge remote-tracking branch 'refs/remotes/origin/develop' into develop 2023-08-25 17:36:45 -04:00
b334a73a44 Stencil improvement 2023-08-25 17:35:10 -04:00
5d113d1c70 Odd address sanitizer complain 2023-08-25 17:34:18 -04:00
c14977aeab Random vector option for test purposes 2023-08-25 17:33:31 -04:00
3e94838204 Spread out improvement 2023-08-25 17:31:28 -04:00
c0a0b8ca62 NEON and address sanitiser 2023-08-25 17:30:30 -04:00
43 changed files with 3364 additions and 614 deletions

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

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

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@ -33,218 +33,254 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
* Script A = SolverMatrix * Script A = SolverMatrix
* Script P = Preconditioner * 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 * Implement ADEF-2
* *
* Vstart = P^Tx + Qb * Vstart = P^Tx + Qb
* M1 = P^TM + Q * M1 = P^TM + Q
* M2=M3=1 * M2=M3=1
* Vout = x
*/ */
NAMESPACE_BEGIN(Grid);
// abstract base template<class Field>
template<class Field, class CoarseField> class TwoLevelCG : public LinearFunction<Field>
class TwoLevelFlexiblePcg : public LinearFunction<Field>
{ {
public: public:
int verbose;
RealD Tolerance; RealD Tolerance;
Integer MaxIterations; Integer MaxIterations;
const int mmax = 5;
GridBase *grid; GridBase *grid;
GridBase *coarsegrid;
LinearOperatorBase<Field> *_Linop // Fine operator, Smoother, CoarseSolver
OperatorFunction<Field> *_Smoother, LinearOperatorBase<Field> &_FineLinop;
LinearFunction<CoarseField> *_CoarseSolver; LinearFunction<Field> &_Smoother;
// Need somthing that knows how to get from Coarse to fine and back again
// more most opertor functions // more most opertor functions
TwoLevelFlexiblePcg(RealD tol, TwoLevelCG(RealD tol,
Integer maxit, Integer maxit,
LinearOperatorBase<Field> *Linop, LinearOperatorBase<Field> &FineLinop,
LinearOperatorBase<Field> *SmootherLinop, LinearFunction<Field> &Smoother,
OperatorFunction<Field> *Smoother, GridBase *fine) :
OperatorFunction<CoarseField> CoarseLinop
) :
Tolerance(tol), Tolerance(tol),
MaxIterations(maxit), MaxIterations(maxit),
_Linop(Linop), _FineLinop(FineLinop),
_PreconditionerLinop(PrecLinop), _Smoother(Smoother)
_Preconditioner(Preconditioner)
{ {
verbose=0; grid = fine;
}; };
// The Pcg routine is common to all, but the various matrices differ from derived virtual void operator() (const Field &src, Field &x)
// implementation to derived implmentation {
void operator() (const Field &src, Field &psi){ Field resid(grid);
void operator() (const Field &src, Field &psi){
psi.Checkerboard() = src.Checkerboard();
grid = src.Grid();
RealD f; RealD f;
RealD rtzp,rtz,a,d,b; RealD rtzp,rtz,a,d,b;
RealD rptzp; RealD rptzp;
RealD tn;
RealD guess = norm2(psi);
RealD ssq = norm2(src);
RealD rsq = ssq*Tolerance*Tolerance;
///////////////////////////// Field p(grid);
// Set up history vectors
/////////////////////////////
std::vector<Field> p (mmax,grid);
std::vector<Field> mmp(mmax,grid);
std::vector<RealD> pAp(mmax);
Field x (grid); x = psi;
Field z(grid); Field z(grid);
Field tmp(grid); Field tmp(grid);
Field mmp(grid);
Field r (grid); Field r (grid);
Field mu (grid); Field mu (grid);
Field rp (grid);
//Initial residual computation & set up
double tn;
GridStopWatch HDCGTimer;
HDCGTimer.Start();
////////////////////////// //////////////////////////
// x0 = Vstart -- possibly modify guess // x0 = Vstart -- possibly modify guess
////////////////////////// //////////////////////////
x=src; x=Zero();
Vstart(x,src); Vstart(x,src);
// r0 = b -A x0 // r0 = b -A x0
HermOp(x,mmp); // Shouldn't this be something else? _FineLinop.HermOp(x,mmp);
axpy (r, -1.0,mmp[0], src); // Recomputes r=src-Ax0
axpy(r, -1.0, mmp, src); // Recomputes r=src-x0
rp=r;
////////////////////////////////// //////////////////////////////////
// Compute z = M1 x // Compute z = M1 x
////////////////////////////////// //////////////////////////////////
M1(r,z,tmp,mp,SmootherMirs); PcgM1(r,z);
rtzp =real(innerProduct(r,z)); rtzp =real(innerProduct(r,z));
/////////////////////////////////////// ///////////////////////////////////////
// Solve for Mss mu = P A z and set p = z-mu // Except Def2, M2 is trivial
// Def2: p = 1 - Q Az = Pright z
// Other algos M2 is trivial
/////////////////////////////////////// ///////////////////////////////////////
M2(z,p[0]); p=z;
for (int k=0;k<=MaxIterations;k++){ RealD ssq = norm2(src);
RealD rsq = ssq*Tolerance*Tolerance;
int peri_k = k % mmax; std::cout<<GridLogMessage<<"HDCG: k=0 residual "<<rtzp<<" target rsq "<<rsq<<" ssq "<<ssq<<std::endl;
int peri_kp = (k+1) % mmax;
for (int k=1;k<=MaxIterations;k++){
rtz=rtzp; rtz=rtzp;
d= M3(p[peri_k],mp,mmp[peri_k],tmp); d= PcgM3(p,mmp);
a = rtz/d; a = rtz/d;
// Memorise this axpy(x,a,p,x);
pAp[peri_k] = d; RealD rn = axpy_norm(r,-a,mmp,r);
axpy(x,a,p[peri_k],x); PcgM1(r,z);
RealD rn = axpy_norm(r,-a,mmp[peri_k],r);
// Compute z = M x
M1(r,z,tmp,mp);
rtzp =real(innerProduct(r,z)); rtzp =real(innerProduct(r,z));
M2(z,mu); // ADEF-2 this is identity. Axpy possible to eliminate int ipcg=1; // almost free inexact preconditioned CG
if (ipcg) {
p[peri_kp]=p[peri_k]; rptzp =real(innerProduct(rp,z));
} else {
// Standard search direction p -> z + b p ; b = rptzp =0;
b = (rtzp)/rtz;
int northog;
// 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
for(int back=0; back < northog; back++){
int peri_back = (k-back)%mmax;
RealD pbApk= real(innerProduct(mmp[peri_back],p[peri_kp]));
RealD beta = -pbApk/pAp[peri_back];
axpy(p[peri_kp],beta,p[peri_back],p[peri_kp]);
} }
b = (rtzp-rptzp)/rtz;
PcgM2(z,mu); // ADEF-2 this is identity. Axpy possible to eliminate
axpy(p,b,p,mu); // mu = A r
RealD rrn=sqrt(rn/ssq); RealD rrn=sqrt(rn/ssq);
std::cout<<GridLogMessage<<"TwoLevelfPcg: k= "<<k<<" residual = "<<rrn<<std::endl; RealD rtn=sqrt(rtz/ssq);
std::cout<<GridLogMessage<<"HDCG: Pcg k= "<<k<<" residual = "<<rrn<<std::endl;
if ( ipcg ) {
axpy(rp,0.0,r,r);
}
// Stopping condition // Stopping condition
if ( rn <= rsq ) { if ( rn <= rsq ) {
HermOp(x,mmp); // Shouldn't this be something else? HDCGTimer.Stop();
axpy(tmp,-1.0,src,mmp[0]); std::cout<<GridLogMessage<<"HDCG: Pcg converged in "<<k<<" iterations and "<<HDCGTimer.Elapsed()<<std::endl;;
RealD psinorm = sqrt(norm2(x)); _FineLinop.HermOp(x,mmp);
axpy(tmp,-1.0,src,mmp);
RealD mmpnorm = sqrt(norm2(mmp));
RealD xnorm = sqrt(norm2(x));
RealD srcnorm = sqrt(norm2(src)); RealD srcnorm = sqrt(norm2(src));
RealD tmpnorm = sqrt(norm2(tmp)); RealD tmpnorm = sqrt(norm2(tmp));
RealD true_residual = tmpnorm/srcnorm; RealD true_residual = tmpnorm/srcnorm;
std::cout<<GridLogMessage<<"TwoLevelfPcg: true residual is "<<true_residual<<std::endl; std::cout<<GridLogMessage
std::cout<<GridLogMessage<<"TwoLevelfPcg: target residual was"<<Tolerance<<std::endl; <<"HDCG: true residual is "<<true_residual
return k; <<" solution "<<xnorm
<<" source "<<srcnorm
<<" mmp "<<mmpnorm
<<std::endl;
return;
} }
} }
// Non-convergence std::cout<<GridLogMessage<<"HDCG: not converged"<<std::endl;
assert(0); RealD xnorm = sqrt(norm2(x));
RealD srcnorm = sqrt(norm2(src));
std::cout<<GridLogMessage<<"HDCG: non-converged solution "<<xnorm<<" source "<<srcnorm<<std::endl;
return ;
} }
public: public:
virtual void M(Field & in,Field & out,Field & tmp) { virtual void PcgM1(Field & in, Field & out) =0;
virtual void Vstart(Field & x,const Field & src)=0;
virtual void PcgM2(const Field & in, Field & out) {
out=in;
} }
virtual void M1(Field & in, Field & out) {// the smoother virtual RealD PcgM3(const Field & p, Field & mmp){
RealD dd;
_FineLinop.HermOp(p,mmp);
ComplexD dot = innerProduct(p,mmp);
dd=real(dot);
return dd;
}
/////////////////////////////////////////////////////////////////////
// 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)
{
// [PTM+Q] in = [1 - Q A] M in + Q in = Min + Q [ in -A Min] // [PTM+Q] in = [1 - Q A] M in + Q in = Min + Q [ in -A Min]
Field tmp(grid);
Field Min(grid);
PcgM(in,Min); // Smoother call Field tmp(this->grid);
Field Min(this->grid);
CoarseField PleftProj(this->coarsegrid);
CoarseField PleftMss_proj(this->coarsegrid);
HermOp(Min,out); GridStopWatch SmootherTimer;
GridStopWatch MatrixTimer;
SmootherTimer.Start();
this->_Smoother(in,Min);
SmootherTimer.Stop();
MatrixTimer.Start();
this->_FineLinop.HermOp(Min,out);
MatrixTimer.Stop();
axpy(tmp,-1.0,out,in); // tmp = in - A Min axpy(tmp,-1.0,out,in); // tmp = in - A Min
ProjectToSubspace(tmp,PleftProj); GridStopWatch ProjTimer;
ApplyInverse(PleftProj,PleftMss_proj); // Ass^{-1} [in - A Min]_s GridStopWatch CoarseTimer;
PromoteFromSubspace(PleftMss_proj,tmp);// tmp = Q[in - A Min] 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;
axpy(out,1.0,Min,tmp); // Min+tmp axpy(out,1.0,Min,tmp); // Min+tmp
} }
virtual void M2(const Field & in, Field & out) { virtual void Vstart(Field & x,const Field & src)
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 // Choose x_0 such that
// x_0 = guess + (A_ss^inv) r_s = guess + Ass_inv [src -Aguess] // x_0 = guess + (A_ss^inv) r_s = guess + Ass_inv [src -Aguess]
@ -256,142 +292,73 @@ class TwoLevelFlexiblePcg : public LinearFunction<Field>
// = src_s - (A guess)_s - src_s + (A guess)_s // = src_s - (A guess)_s - src_s + (A guess)_s
// = 0 // = 0
/////////////////////////////////// ///////////////////////////////////
Field r(grid); Field r(this->grid);
Field mmp(grid); Field mmp(this->grid);
CoarseField PleftProj(this->coarsegrid);
CoarseField PleftMss_proj(this->coarsegrid);
HermOp(x,mmp); this->_Aggregates.ProjectToSubspace(PleftProj,src);
axpy (r, -1.0, mmp, src); // r_{-1} = src - A x this->_CoarseSolverPrecise(PleftProj,PleftMss_proj); // Ass^{-1} r_s
ProjectToSubspace(r,PleftProj); this->_Aggregates.PromoteFromSubspace(PleftMss_proj,x);
ApplyInverseCG(PleftProj,PleftMss_proj); // Ass^{-1} r_s
PromoteFromSubspace(PleftMss_proj,mmp);
x=x+mmp;
} }
};
template<class Field>
class TwoLevelADEF1defl : public TwoLevelCG<Field>
{
public:
const std::vector<Field> &evec;
const std::vector<RealD> &eval;
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){ virtual void Vstart(Field & x,const Field & src){
return; x=src; // Could apply Q
};
// Override PcgM1
virtual void PcgM1(Field & in, Field & out)
{
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);
} }
///////////////////////////////////////////////////////////////////// this->_Smoother(Pin,out);
// Only Def1 has non-trivial Vout. Override in Def1
///////////////////////////////////////////////////////////////////// out = out + Qin;
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;
} }
};
//////////////////////////////////////////////////////////////////////////////////////////////// NAMESPACE_END(Grid);
// 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
}
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 TwoLevelFlexiblePcgADef2 : 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 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 #endif

View File

@ -183,13 +183,13 @@ public:
<< "\tTrue residual " << true_residual << "\tTrue residual " << true_residual
<< "\tTarget " << Tolerance << std::endl; << "\tTarget " << Tolerance << std::endl;
std::cout << GridLogMessage << "Time breakdown "<<std::endl;
std::cout << GridLogMessage << "\tElapsed " << SolverTimer.Elapsed() <<std::endl; std::cout << GridLogMessage << "\tElapsed " << SolverTimer.Elapsed() <<std::endl;
std::cout << GridLogMessage << "\tMatrix " << MatrixTimer.Elapsed() <<std::endl; std::cout << GridLogPerformance << "Time breakdown "<<std::endl;
std::cout << GridLogMessage << "\tLinalg " << LinalgTimer.Elapsed() <<std::endl; std::cout << GridLogPerformance << "\tMatrix " << MatrixTimer.Elapsed() <<std::endl;
std::cout << GridLogMessage << "\tInner " << InnerTimer.Elapsed() <<std::endl; std::cout << GridLogPerformance << "\tLinalg " << LinalgTimer.Elapsed() <<std::endl;
std::cout << GridLogMessage << "\tAxpyNorm " << AxpyNormTimer.Elapsed() <<std::endl; std::cout << GridLogPerformance << "\tInner " << InnerTimer.Elapsed() <<std::endl;
std::cout << GridLogMessage << "\tLinearComb " << LinearCombTimer.Elapsed() <<std::endl; std::cout << GridLogPerformance << "\tAxpyNorm " << AxpyNormTimer.Elapsed() <<std::endl;
std::cout << GridLogPerformance << "\tLinearComb " << LinearCombTimer.Elapsed() <<std::endl;
std::cout << GridLogDebug << "\tMobius flop rate " << DwfFlops/ usecs<< " Gflops " <<std::endl; std::cout << GridLogDebug << "\tMobius flop rate " << DwfFlops/ usecs<< " Gflops " <<std::endl;

View File

@ -457,7 +457,7 @@ until convergence
std::vector<Field>& evec, std::vector<Field>& evec,
Field& w,int Nm,int k) Field& w,int Nm,int k)
{ {
std::cout<<GridLogIRL << "Lanczos step " <<k<<std::endl; std::cout<<GridLogDebug << "Lanczos step " <<k<<std::endl;
const RealD tiny = 1.0e-20; const RealD tiny = 1.0e-20;
assert( k< Nm ); assert( k< Nm );
@ -465,7 +465,7 @@ until convergence
Field& evec_k = evec[k]; Field& evec_k = evec[k];
_PolyOp(evec_k,w); std::cout<<GridLogIRL << "PolyOp" <<std::endl; _PolyOp(evec_k,w); std::cout<<GridLogDebug << "PolyOp" <<std::endl;
if(k>0) w -= lme[k-1] * evec[k-1]; if(k>0) w -= lme[k-1] * evec[k-1];
@ -480,18 +480,18 @@ until convergence
lme[k] = beta; lme[k] = beta;
if ( (k>0) && ( (k % orth_period) == 0 )) { if ( (k>0) && ( (k % orth_period) == 0 )) {
std::cout<<GridLogIRL << "Orthogonalising " <<k<<std::endl; std::cout<<GridLogDebug << "Orthogonalising " <<k<<std::endl;
orthogonalize(w,evec,k); // orthonormalise orthogonalize(w,evec,k); // orthonormalise
std::cout<<GridLogIRL << "Orthogonalised " <<k<<std::endl; std::cout<<GridLogDebug << "Orthogonalised " <<k<<std::endl;
} }
if(k < Nm-1) evec[k+1] = w; if(k < Nm-1) evec[k+1] = w;
std::cout<<GridLogIRL << "alpha[" << k << "] = " << zalph << " beta[" << k << "] = "<<beta<<std::endl; std::cout<<GridLogIRL << "Lanczos step alpha[" << k << "] = " << zalph << " beta[" << k << "] = "<<beta<<std::endl;
if ( beta < tiny ) if ( beta < tiny )
std::cout<<GridLogIRL << " beta is tiny "<<beta<<std::endl; std::cout<<GridLogIRL << " beta is tiny "<<beta<<std::endl;
std::cout<<GridLogIRL << "Lanczos step complete " <<k<<std::endl; std::cout<<GridLogDebug << "Lanczos step complete " <<k<<std::endl;
} }
void diagonalize_Eigen(std::vector<RealD>& lmd, std::vector<RealD>& lme, void diagonalize_Eigen(std::vector<RealD>& lmd, std::vector<RealD>& lme,

View File

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

View File

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

View File

@ -0,0 +1,262 @@
/*************************************************************************************
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);
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);
// 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;
}
}
};
NAMESPACE_END(Grid);

View File

@ -56,243 +56,6 @@ inline void blockMaskedInnerProduct(Lattice<CComplex> &CoarseInner,
blockSum(CoarseInner,fine_inner_msk); 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 // Fine Object == (per site) type of fine field
// nbasis == number of deflation vectors // nbasis == number of deflation vectors
template<class Fobj,class CComplex,int nbasis> template<class Fobj,class CComplex,int nbasis>

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/*************************************************************************************
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 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 _FineGrid; }; // 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 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;
autoView( Stencil_v , Stencil, AcceleratorRead);
int osites=Stencil.Grid()->oSites();
for(int ss=0;ss<osites;ss++){
for(int point=0;point<npoint;point++){
auto SE = Stencil_v.GetEntry(point,ss);
int o = SE->_offset;
assert( o< osites);
}
}
}
_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;
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 b = bp/npoint;
int32_t point= bp%npoint;
auto SE = Stencil_v.GetEntry(point,ss);
auto nbr = coalescedReadGeneralPermute(in_v[SE->_offset],SE->_permute,Nd);
auto res = coalescedRead(Aview_p[point][ss](b,0))*nbr(0);
for(int bb=1;bb<nbasis;bb++) {
res = res + coalescedRead(Aview_p[point][ss](b,bb))*nbr(bb);
}
coalescedWrite(Vview_p[point][ss](b),res);
});
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);
});
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 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<<"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 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 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
CoarseVector coarseInner(CoarseGrid());
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
/////////////////////////////////////////////////////
// Stick a phase on every block
/////////////////////////////////////////////////////
tphase-=usecond();
CoarseComplexField coor(CoarseGrid());
CoarseComplexField pha(CoarseGrid()); pha=Zero();
for(int mu=0;mu<Nd;mu++){
LatticeCoordinate(coor,mu);
RealD TwoPiL = M_PI * 2.0/ clatt[mu];
pha = pha + (TwoPiL * geom.shifts[p][mu]) * coor;
}
pha =exp(pha*ci);
phaV=Zero();
blockZAXPY(phaV,pha,Subspace.subspace[i],phaV);
tphase+=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();
blockProject(coarseInner,MphaV,Subspace.subspace);
coarseInner = conjugate(pha) * 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](j,i) = FT_v[sss](j);
}
});
}
tinv+=usecond();
}
for(int p=0;p<geom.npoint;p++){
Coordinate coor({0,0,0,0,0});
auto sval = peekSite(_A[p],coor);
}
// 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 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.Exchange(_A[p]);
_Adag[p]= Cell.Exchange(_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);

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/*************************************************************************************
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 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
virtual int DimSkip(void) =0;
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) : grid(_coarse_grid), hops(_hops)
{
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;
}
}
};
};
// Need to worry about red-black now
class NonLocalStencilGeometry4D : public NonLocalStencilGeometry {
public:
virtual int DimSkip(void) { return 0;};
NonLocalStencilGeometry4D(GridCartesian *Coarse,int _hops) : NonLocalStencilGeometry(Coarse,_hops) { };
virtual ~NonLocalStencilGeometry4D() {};
};
class NonLocalStencilGeometry5D : public NonLocalStencilGeometry {
public:
virtual int DimSkip(void) { return 1; };
NonLocalStencilGeometry5D(GridCartesian *Coarse,int _hops) : NonLocalStencilGeometry(Coarse,_hops) { };
virtual ~NonLocalStencilGeometry5D() {};
};
/*
* Bunch of different options classes
*/
class NextToNextToNextToNearestStencilGeometry4D : public NonLocalStencilGeometry4D {
public:
NextToNextToNextToNearestStencilGeometry4D(GridCartesian *Coarse) : NonLocalStencilGeometry4D(Coarse,4)
{
this->BuildShifts();
};
};
class NextToNextToNextToNearestStencilGeometry5D : public NonLocalStencilGeometry5D {
public:
NextToNextToNextToNearestStencilGeometry5D(GridCartesian *Coarse) : NonLocalStencilGeometry5D(Coarse,4)
{
this->BuildShifts();
};
};
class NextToNearestStencilGeometry4D : public NonLocalStencilGeometry4D {
public:
NextToNearestStencilGeometry4D(GridCartesian *Coarse) : NonLocalStencilGeometry4D(Coarse,2)
{
this->BuildShifts();
};
};
class NextToNearestStencilGeometry5D : public NonLocalStencilGeometry5D {
public:
NextToNearestStencilGeometry5D(GridCartesian *Coarse) : NonLocalStencilGeometry5D(Coarse,2)
{
this->BuildShifts();
};
};
class NearestStencilGeometry4D : public NonLocalStencilGeometry4D {
public:
NearestStencilGeometry4D(GridCartesian *Coarse) : NonLocalStencilGeometry4D(Coarse,1)
{
this->BuildShifts();
};
};
class NearestStencilGeometry5D : public NonLocalStencilGeometry5D {
public:
NearestStencilGeometry5D(GridCartesian *Coarse) : NonLocalStencilGeometry5D(Coarse,1)
{
this->BuildShifts();
};
};
NAMESPACE_END(Grid);

View File

@ -0,0 +1,33 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: Grid/algorithms/multigrid/MultiGrid.h
Copyright (C) 2023
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/Aggregates.h>
#include <Grid/algorithms/multigrid/Geometry.h>
#include <Grid/algorithms/multigrid/CoarsenedMatrix.h>
#include <Grid/algorithms/multigrid/GeneralCoarsenedMatrix.h>

View File

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

View File

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

View File

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

View File

@ -138,6 +138,14 @@ public:
//////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////
// Face exchange, buffer swap in translational invariant way // 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, void SendToRecvFrom(void *xmit,
int xmit_to_rank, int xmit_to_rank,
void *recv, void *recv,

View File

@ -306,6 +306,44 @@ void CartesianCommunicator::GlobalSumVector(double *d,int N)
int ierr = MPI_Allreduce(MPI_IN_PLACE,d,N,MPI_DOUBLE,MPI_SUM,communicator); int ierr = MPI_Allreduce(MPI_IN_PLACE,d,N,MPI_DOUBLE,MPI_SUM,communicator);
assert(ierr==0); 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 // Basic Halo comms primitive
void CartesianCommunicator::SendToRecvFrom(void *xmit, void CartesianCommunicator::SendToRecvFrom(void *xmit,
int dest, int dest,

View File

@ -91,6 +91,17 @@ void CartesianCommunicator::SendToRecvFrom(void *xmit,
{ {
assert(0); 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) void CartesianCommunicator::AllToAll(int dim,void *in,void *out,uint64_t words,uint64_t bytes)
{ {
bcopy(in,out,bytes*words); bcopy(in,out,bytes*words);

View File

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

View File

@ -29,7 +29,7 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
NAMESPACE_BEGIN(Grid); NAMESPACE_BEGIN(Grid);
template<class vobj> void DumpSliceNorm(std::string s,Lattice<vobj> &f,int mu=-1) template<class vobj> void DumpSliceNorm(std::string s,const Lattice<vobj> &f,int mu=-1)
{ {
auto ff = localNorm2(f); auto ff = localNorm2(f);
if ( mu==-1 ) mu = f.Grid()->Nd()-1; if ( mu==-1 ) mu = f.Grid()->Nd()-1;

View File

@ -361,9 +361,14 @@ public:
_bernoulli.resize(_vol,std::discrete_distribution<int32_t>{1,1}); _bernoulli.resize(_vol,std::discrete_distribution<int32_t>{1,1});
_uid.resize(_vol,std::uniform_int_distribution<uint32_t>() ); _uid.resize(_vol,std::uniform_int_distribution<uint32_t>() );
} }
template <class vobj,class distribution> inline void fill(Lattice<vobj> &l,std::vector<distribution> &dist)
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;
}
typedef typename vobj::scalar_object scalar_object; typedef typename vobj::scalar_object scalar_object;
typedef typename vobj::scalar_type scalar_type; typedef typename vobj::scalar_type scalar_type;
typedef typename vobj::vector_type vector_type; typedef typename vobj::vector_type vector_type;
@ -427,7 +432,7 @@ public:
#if 1 #if 1
thread_for( lidx, _grid->lSites(), { thread_for( lidx, _grid->lSites(), {
int gidx; int64_t gidx;
int o_idx; int o_idx;
int i_idx; int i_idx;
int rank; int rank;

View File

@ -471,13 +471,13 @@ inline void blockSum(Lattice<vobj> &coarseData,const Lattice<vobj> &fineData)
vobj zz = Zero(); vobj zz = Zero();
accelerator_for(sc,coarse->oSites(),1,{ accelerator_for(sc,coarse->oSites(),vobj::Nsimd(),{
// One thread per sub block // One thread per sub block
Coordinate coor_c(_ndimension); Coordinate coor_c(_ndimension);
Lexicographic::CoorFromIndex(coor_c,sc,coarse_rdimensions); // Block coordinate Lexicographic::CoorFromIndex(coor_c,sc,coarse_rdimensions); // Block coordinate
vobj cd = zz; auto cd = coalescedRead(zz);
for(int sb=0;sb<blockVol;sb++){ for(int sb=0;sb<blockVol;sb++){
@ -488,10 +488,10 @@ 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]; 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); Lexicographic::IndexFromCoor(coor_f,sf,fine_rdimensions);
cd=cd+fineData_p[sf]; cd=cd+coalescedRead(fineData_p[sf]);
} }
coarseData_p[sc] = cd; coalescedWrite(coarseData_p[sc],cd);
}); });
return; return;
@ -1054,7 +1054,7 @@ void Replicate(const Lattice<vobj> &coarse,Lattice<vobj> & fine)
Coordinate fcoor(nd); Coordinate fcoor(nd);
Coordinate ccoor(nd); Coordinate ccoor(nd);
for(int g=0;g<fg->gSites();g++){ for(int64_t g=0;g<fg->gSites();g++){
fg->GlobalIndexToGlobalCoor(g,fcoor); fg->GlobalIndexToGlobalCoor(g,fcoor);
for(int d=0;d<nd;d++){ for(int d=0;d<nd;d++){

View File

@ -45,6 +45,170 @@ 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); } 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;
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, AcceleratorRead);
accelerator_for(ss, face_ovol/simd[dim],Nsimd,{
// scalar layout won't coalesce
int blane=acceleratorSIMTlane(Nsimd); // buffer lane
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);
});
}
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;
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
int blane=acceleratorSIMTlane(Nsimd); // buffer lane
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);
});
/*
int words =block*nblock/simd[dim];
std::vector<vobj> tbuf(words);
acceleratorCopyFromDevice((void *)&buf[offset],(void *)&tbuf[0],words*sizeof(vobj));
typedef typename vobj::scalar_type scalar;
scalar *sbuf = (scalar *)&tbuf[0];
scalar tmp=0.0;
for(int w=0;w<words*sizeof(vobj)/sizeof(scalar);w++){
tmp=tmp+conjugate(sbuf[w])*sbuf[w];
}
std::cout << " Gathered buffer norm "<<tmp<<std::endl;
*/
}
class PaddedCell { class PaddedCell {
public: public:
GridCartesian * unpadded_grid; GridCartesian * unpadded_grid;
@ -63,8 +227,9 @@ public:
dims=_grid->Nd(); dims=_grid->Nd();
AllocateGrids(); AllocateGrids();
Coordinate local =unpadded_grid->LocalDimensions(); Coordinate local =unpadded_grid->LocalDimensions();
Coordinate procs =unpadded_grid->ProcessorGrid();
for(int d=0;d<dims;d++){ for(int d=0;d<dims;d++){
assert(local[d]>=depth); if ( procs[d] > 1 ) assert(local[d]>=depth);
} }
} }
void DeleteGrids(void) void DeleteGrids(void)
@ -81,27 +246,36 @@ public:
Coordinate processors=unpadded_grid->_processors; Coordinate processors=unpadded_grid->_processors;
Coordinate plocal =unpadded_grid->LocalDimensions(); Coordinate plocal =unpadded_grid->LocalDimensions();
Coordinate global(dims); Coordinate global(dims);
GridCartesian *old_grid = unpadded_grid;
// expand up one dim at a time // expand up one dim at a time
for(int d=0;d<dims;d++){ for(int d=0;d<dims;d++){
if ( processors[d] > 1 ) {
plocal[d] += 2*depth; plocal[d] += 2*depth;
for(int d=0;d<dims;d++){ for(int d=0;d<dims;d++){
global[d] = plocal[d]*processors[d]; global[d] = plocal[d]*processors[d];
} }
grids.push_back(new GridCartesian(global,simd,processors)); old_grid = new GridCartesian(global,simd,processors);
}
grids.push_back(old_grid);
} }
}; };
template<class vobj> template<class vobj>
inline Lattice<vobj> Extract(const Lattice<vobj> &in) const inline Lattice<vobj> Extract(const Lattice<vobj> &in) const
{ {
Coordinate processors=unpadded_grid->_processors;
Lattice<vobj> out(unpadded_grid); Lattice<vobj> out(unpadded_grid);
Coordinate local =unpadded_grid->LocalDimensions(); Coordinate local =unpadded_grid->LocalDimensions();
Coordinate fll(dims,depth); // depends on the MPI spread // depends on the MPI spread
Coordinate fll(dims,depth);
Coordinate tll(dims,0); // 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); localCopyRegion(in,out,fll,tll,local);
return out; return out;
} }
@ -116,10 +290,22 @@ public:
} }
return tmp; return tmp;
} }
template<class vobj>
inline Lattice<vobj> ExchangePeriodic(const Lattice<vobj> &in, const CshiftImplBase<vobj> &cshift = CshiftImplDefault<vobj>()) 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,cshift); // rvalue && assignment
}
return tmp;
}
// expand up one dim at a time // expand up one dim at a time
template<class vobj> template<class vobj>
inline Lattice<vobj> Expand(int dim, const Lattice<vobj> &in, const CshiftImplBase<vobj> &cshift = CshiftImplDefault<vobj>()) const 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(); GridBase *old_grid = in.Grid();
GridCartesian *new_grid = grids[dim];//These are new grids GridCartesian *new_grid = grids[dim];//These are new grids
Lattice<vobj> padded(new_grid); Lattice<vobj> padded(new_grid);
@ -129,10 +315,31 @@ public:
if(dim==0) conformable(old_grid,unpadded_grid); if(dim==0) conformable(old_grid,unpadded_grid);
else conformable(old_grid,grids[dim-1]); else conformable(old_grid,grids[dim-1]);
std::cout << " dim "<<dim<<" local "<<local << " padding to "<<plocal<<std::endl; // std::cout << " dim "<<dim<<" local "<<local << " padding to "<<plocal<<std::endl;
double tins=0, tshift=0; double tins=0, tshift=0;
int islocal = 0 ;
if ( processors[dim] == 1 ) islocal = 1;
if ( islocal ) {
// replace with a copy and maybe grid swizzle
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 // Middle bit
double t = usecond(); double t = usecond();
for(int x=0;x<local[dim];x++){ for(int x=0;x<local[dim];x++){
@ -162,13 +369,197 @@ public:
} }
tins += usecond() - t; tins += usecond() - t;
}
std::cout << GridLogPerformance << "PaddedCell::Expand timings: cshift:" << tshift/1000 << "ms, insert-slice:" << tins/1000 << "ms" << std::endl; std::cout << GridLogPerformance << "PaddedCell::Expand timings: cshift:" << tshift/1000 << "ms, insert-slice:" << tins/1000 << "ms" << std::endl;
return padded; return padded;
} }
template<class vobj>
inline Lattice<vobj> ExpandPeriodic(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);
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 ) {
// replace with a copy and maybe grid swizzle
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)
//////////////////////////////////////////////
Face_exchange(in,padded,dim,depth);
}
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;
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
////////////////////////////////////////////////////////////////////////////
// DumpSliceNorm(std::string("Face_exchange to before scatter"),to,dimension);
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;
// DumpSliceNorm(std::string("Face_exchange to scatter 1st "),to,dimension);
//DumpSliceNorm(std::string("Face_exchange to done"),to,dimension);
std::cout << GridLogPerformance << "PaddedCell::Expand new timings: gather :" << t_gather/1000 << "ms"<<std::endl;
// std::cout << GridLogPerformance << "PaddedCell::Expand new timings: gather :" << 2.0*bytes/t_gather << "MB/s"<<std::endl;
std::cout << GridLogPerformance << "PaddedCell::Expand new timings: scatter:" << t_scatter/1000 << "ms"<<std::endl;
// std::cout << GridLogPerformance << "PaddedCell::Expand new timings: scatter:" << 2.0*bytes/t_scatter<< "MB/s"<<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: comms :" << (RealD)4.0*bytes/t_comms << "MB/s"<<std::endl;
}
}; };
NAMESPACE_END(Grid); NAMESPACE_END(Grid);

View File

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

View File

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

View File

@ -487,7 +487,7 @@ public:
for(int mu=0;mu<Nd;mu++){ for(int mu=0;mu<Nd;mu++){
{ //view scope { //view scope
autoView( gStaple_v , gStaple, AcceleratorWrite); autoView( gStaple_v , gStaple, AcceleratorWrite);
auto gStencil_v = gStencil.View(); auto gStencil_v = gStencil.View(AcceleratorRead);
accelerator_for(ss, ggrid->oSites(), ggrid->Nsimd(), { accelerator_for(ss, ggrid->oSites(), ggrid->Nsimd(), {
decltype(coalescedRead(Ug_dirs_v[0][0])) stencil_ss; decltype(coalescedRead(Ug_dirs_v[0][0])) stencil_ss;
@ -1199,7 +1199,7 @@ public:
{ //view scope { //view scope
autoView( gStaple_v , gStaple, AcceleratorWrite); autoView( gStaple_v , gStaple, AcceleratorWrite);
auto gStencil_v = gStencil.View(); auto gStencil_v = gStencil.View(AcceleratorRead);
accelerator_for(ss, ggrid->oSites(), ggrid->Nsimd(), { accelerator_for(ss, ggrid->oSites(), ggrid->Nsimd(), {
decltype(coalescedRead(Ug_dirs_v[0][0])) stencil_ss; decltype(coalescedRead(Ug_dirs_v[0][0])) stencil_ss;

View File

@ -1130,6 +1130,14 @@ static_assert(sizeof(SIMD_Ftype) == sizeof(SIMD_Itype), "SIMD vector lengths inc
#endif #endif
#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); NAMESPACE_END(Grid);

View File

@ -46,7 +46,7 @@ class GeneralLocalStencilView {
accelerator_inline GeneralStencilEntry * GetEntry(int point,int osite) { accelerator_inline GeneralStencilEntry * GetEntry(int point,int osite) {
return & this->_entries_p[point+this->_npoints*osite]; return & this->_entries_p[point+this->_npoints*osite];
} }
void ViewClose(void){};
}; };
//////////////////////////////////////// ////////////////////////////////////////
// The Stencil Class itself // The Stencil Class itself
@ -61,7 +61,7 @@ protected:
public: public:
GridBase *Grid(void) const { return _grid; } GridBase *Grid(void) const { return _grid; }
View_type View(void) const { View_type View(int mode) const {
View_type accessor(*( (View_type *) this)); View_type accessor(*( (View_type *) this));
return accessor; return accessor;
} }

View File

@ -137,6 +137,18 @@ inline void cuda_mem(void)
dim3 cu_blocks ((num1+nt-1)/nt,num2,1); \ dim3 cu_blocks ((num1+nt-1)/nt,num2,1); \
LambdaApply<<<cu_blocks,cu_threads,0,computeStream>>>(num1,num2,nsimd,lambda); \ 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, \ #define accelerator_for6dNB(iter1, num1, \
iter2, num2, \ iter2, num2, \
@ -157,6 +169,20 @@ inline void cuda_mem(void)
Lambda6Apply<<<cu_blocks,cu_threads,0,computeStream>>>(num1,num2,num3,num4,num5,num6,lambda); \ 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__ template<typename lambda> __global__
void LambdaApply(uint64_t num1, uint64_t num2, uint64_t num3, lambda Lambda) void LambdaApply(uint64_t num1, uint64_t num2, uint64_t num3, lambda Lambda)
{ {
@ -168,6 +194,17 @@ void LambdaApply(uint64_t num1, uint64_t num2, uint64_t num3, lambda Lambda)
Lambda(x,y,z); 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__ template<typename lambda> __global__
void Lambda6Apply(uint64_t num1, uint64_t num2, uint64_t num3, void Lambda6Apply(uint64_t num1, uint64_t num2, uint64_t num3,
@ -208,6 +245,7 @@ inline void *acceleratorAllocShared(size_t bytes)
if( err != cudaSuccess ) { if( err != cudaSuccess ) {
ptr = (void *) NULL; ptr = (void *) NULL;
printf(" cudaMallocManaged failed for %d %s \n",bytes,cudaGetErrorString(err)); printf(" cudaMallocManaged failed for %d %s \n",bytes,cudaGetErrorString(err));
assert(0);
} }
return ptr; return ptr;
}; };
@ -460,6 +498,9 @@ inline void acceleratorCopySynchronise(void) { hipStreamSynchronize(copyStream);
#if defined(GRID_SYCL) || defined(GRID_CUDA) || defined(GRID_HIP) #if defined(GRID_SYCL) || defined(GRID_CUDA) || defined(GRID_HIP)
// FIXME -- the non-blocking nature got broken March 30 2023 by PAB // 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 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, ... ) \ #define accelerator_for( iter, num, nsimd, ... ) \
accelerator_forNB(iter, num, nsimd, { __VA_ARGS__ } ); \ accelerator_forNB(iter, num, nsimd, { __VA_ARGS__ } ); \

View File

@ -94,6 +94,13 @@ static constexpr int MaxDims = GRID_MAX_LATTICE_DIMENSION;
typedef AcceleratorVector<int,MaxDims> Coordinate; 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> template<class T,int _ndim>
inline std::ostream & operator<<(std::ostream &os, const AcceleratorVector<T,_ndim> &v) inline std::ostream & operator<<(std::ostream &os, const AcceleratorVector<T,_ndim> &v)
{ {

View File

@ -283,6 +283,7 @@ void GridBanner(void)
std::cout << "Build " << GRID_BUILD_STR(GRID_BUILD_REF) << std::endl; std::cout << "Build " << GRID_BUILD_STR(GRID_BUILD_REF) << std::endl;
#endif #endif
std::cout << std::endl; std::cout << std::endl;
std::cout << std::setprecision(9);
} }
void Grid_init(int *argc,char ***argv) void Grid_init(int *argc,char ***argv)

View File

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

44
scripts/prequisites.sh Executable file
View File

@ -0,0 +1,44 @@
#!/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

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@ -0,0 +1,43 @@
#!/bin/bash -l
#SBATCH --job-name=bench
##SBATCH --partition=small-g
#SBATCH --nodes=2
#SBATCH --ntasks-per-node=8
#SBATCH --cpus-per-task=7
#SBATCH --gpus-per-node=8
#SBATCH --time=00:10:00
#SBATCH --account=phy157_dwf
#SBATCH --gpu-bind=none
#SBATCH --exclusive
#SBATCH --mem=0
cat << EOF > select_gpu
#!/bin/bash
export GPU_MAP=(0 1 2 3 7 6 5 4)
export NUMA_MAP=(3 3 1 1 2 2 0 0)
export GPU=\${GPU_MAP[\$SLURM_LOCALID]}
export NUMA=\${NUMA_MAP[\$SLURM_LOCALID]}
export HIP_VISIBLE_DEVICES=\$GPU
unset ROCR_VISIBLE_DEVICES
echo RANK \$SLURM_LOCALID using GPU \$GPU
exec numactl -m \$NUMA -N \$NUMA \$*
EOF
chmod +x ./select_gpu
root=$HOME/Frontier/Grid/systems/Frontier/
source ${root}/sourceme.sh
export OMP_NUM_THREADS=7
export MPICH_GPU_SUPPORT_ENABLED=1
export MPICH_SMP_SINGLE_COPY_MODE=XPMEM
for vol in 32.32.32.64
do
srun ./select_gpu ./Benchmark_dwf_fp32 --mpi 2.2.2.2 --accelerator-threads 8 --comms-overlap --shm 2048 --shm-mpi 0 --grid $vol > log.shm0.ov.$vol
srun ./select_gpu ./Benchmark_dwf_fp32 --mpi 2.2.2.2 --accelerator-threads 8 --comms-overlap --shm 2048 --shm-mpi 1 --grid $vol > log.shm1.ov.$vol
srun ./select_gpu ./Benchmark_dwf_fp32 --mpi 2.2.2.2 --accelerator-threads 8 --comms-sequential --shm 2048 --shm-mpi 0 --grid $vol > log.shm0.seq.$vol
srun ./select_gpu ./Benchmark_dwf_fp32 --mpi 2.2.2.2 --accelerator-threads 8 --comms-sequential --shm 2048 --shm-mpi 1 --grid $vol > log.shm1.seq.$vol
done

View File

@ -0,0 +1,23 @@
CLIME=`spack find --paths c-lime@2-3-9 | grep c-lime| cut -c 15-`
../../configure --enable-comms=mpi-auto \
--with-lime=$CLIME \
--enable-unified=no \
--enable-shm=nvlink \
--enable-tracing=timer \
--enable-accelerator=hip \
--enable-gen-simd-width=64 \
--disable-gparity \
--disable-fermion-reps \
--enable-simd=GPU \
--enable-accelerator-cshift \
--with-gmp=$OLCF_GMP_ROOT \
--with-fftw=$FFTW_DIR/.. \
--with-mpfr=/opt/cray/pe/gcc/mpfr/3.1.4/ \
--disable-fermion-reps \
CXX=hipcc MPICXX=mpicxx \
CXXFLAGS="-fPIC -I{$ROCM_PATH}/include/ -std=c++14 -I${MPICH_DIR}/include -L/lib64 " \
LDFLAGS="-L/lib64 -L${MPICH_DIR}/lib -lmpi -L${CRAY_MPICH_ROOTDIR}/gtl/lib -lmpi_gtl_hsa -lamdhip64 "

13
systems/Frontier/mpiwrapper.sh Executable file
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@ -0,0 +1,13 @@
#!/bin/bash
lrank=$SLURM_LOCALID
lgpu=(0 1 2 3 7 6 5 4)
export ROCR_VISIBLE_DEVICES=${lgpu[$lrank]}
echo "`hostname` - $lrank device=$ROCR_VISIBLE_DEVICES "
$*

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@ -0,0 +1,13 @@
. /autofs/nccs-svm1_home1/paboyle/Crusher/Grid/spack/share/spack/setup-env.sh
spack load c-lime
#export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/sw/crusher/spack-envs/base/opt/cray-sles15-zen3/gcc-11.2.0/gperftools-2.9.1-72ubwtuc5wcz2meqltbfdb76epufgzo2/lib
module load emacs
module load PrgEnv-gnu
module load rocm
module load cray-mpich/8.1.23
module load gmp
module load cray-fftw
module load craype-accel-amd-gfx90a
export LD_LIBRARY_PATH=/opt/gcc/mpfr/3.1.4/lib:$LD_LIBRARY_PATH
#Hack for lib
#export LD_LIBRARY_PATH=`pwd`:$LD_LIBRARY_PATH

9
systems/Frontier/wrap.sh Executable file
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@ -0,0 +1,9 @@
#!/bin/sh
export HIP_VISIBLE_DEVICES=$ROCR_VISIBLE_DEVICES
unset ROCR_VISIBLE_DEVICES
#rank=$SLURM_PROCID
#rocprof -d rocprof.$rank -o rocprof.$rank/results.rank$SLURM_PROCID.csv --sys-trace $@
$@

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@ -1,4 +1,3 @@
BREW=/opt/local/ BREW=/opt/local/
MPICXX=mpicxx ../../configure --enable-simd=GEN --enable-comms=mpi-auto --enable-unified=yes --prefix $HOME/QCD/GridInstall --with-lime=/Users/peterboyle/QCD/SciDAC/install/ --with-openssl=$BREW --disable-fermion-reps --disable-gparity --disable-debug MPICXX=mpicxx ../../configure --enable-simd=GEN --enable-comms=mpi-auto --enable-unified=yes --prefix $HOME/QCD/GridInstall --with-lime=/Users/peterboyle/QCD/SciDAC/install/ --with-openssl=$BREW --disable-fermion-reps --disable-gparity --disable-debug

View File

@ -0,0 +1,235 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./tests/Test_padded_cell.cc
Copyright (C) 2023
Author: Peter Boyle <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/lattice/PaddedCell.h>
#include <Grid/stencil/GeneralLocalStencil.h>
#include <Grid/algorithms/iterative/PrecGeneralisedConjugateResidual.h>
#include <Grid/algorithms/iterative/PrecGeneralisedConjugateResidualNonHermitian.h>
#include <Grid/algorithms/iterative/BiCGSTAB.h>
using namespace std;
using namespace Grid;
///////////////////////
// Tells little dirac op to use MdagM as the .Op()
///////////////////////
template<class Field>
class HermOpAdaptor : public LinearOperatorBase<Field>
{
LinearOperatorBase<Field> & wrapped;
public:
HermOpAdaptor(LinearOperatorBase<Field> &wrapme) : wrapped(wrapme) {};
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){
wrapped.HermOp(in,out);
}
void AdjOp (const Field &in, Field &out){
wrapped.HermOp(in,out);
}
void HermOpAndNorm(const Field &in, Field &out,RealD &n1,RealD &n2){ assert(0); }
void HermOp(const Field &in, Field &out){
wrapped.HermOp(in,out);
}
};
int main (int argc, char ** argv)
{
Grid_init(&argc,&argv);
const int Ls=4;
GridCartesian * UGrid = SpaceTimeGrid::makeFourDimGrid(GridDefaultLatt(),
GridDefaultSimd(Nd,vComplex::Nsimd()),
GridDefaultMpi());
GridRedBlackCartesian * UrbGrid = SpaceTimeGrid::makeFourDimRedBlackGrid(UGrid);
GridCartesian * FGrid = SpaceTimeGrid::makeFiveDimGrid(Ls,UGrid);
GridRedBlackCartesian * FrbGrid = SpaceTimeGrid::makeFiveDimRedBlackGrid(Ls,UGrid);
// Construct a coarsened grid
Coordinate clatt = GridDefaultLatt();
for(int d=0;d<clatt.size();d++){
clatt[d] = clatt[d]/2;
}
GridCartesian *Coarse4d = SpaceTimeGrid::makeFourDimGrid(clatt,
GridDefaultSimd(Nd,vComplex::Nsimd()),
GridDefaultMpi());;
GridCartesian *Coarse5d = SpaceTimeGrid::makeFiveDimGrid(1,Coarse4d);
std::vector<int> seeds4({1,2,3,4});
std::vector<int> seeds5({5,6,7,8});
std::vector<int> cseeds({5,6,7,8});
GridParallelRNG RNG5(FGrid); RNG5.SeedFixedIntegers(seeds5);
GridParallelRNG RNG4(UGrid); RNG4.SeedFixedIntegers(seeds4);
GridParallelRNG CRNG(Coarse5d);CRNG.SeedFixedIntegers(cseeds);
LatticeFermion src(FGrid); random(RNG5,src);
LatticeFermion result(FGrid); result=Zero();
LatticeFermion ref(FGrid); ref=Zero();
LatticeFermion tmp(FGrid);
LatticeFermion err(FGrid);
LatticeGaugeField Umu(UGrid);
SU<Nc>::HotConfiguration(RNG4,Umu);
// Umu=Zero();
RealD mass=0.1;
RealD M5=1.8;
DomainWallFermionD Ddwf(Umu,*FGrid,*FrbGrid,*UGrid,*UrbGrid,mass,M5);
const int nbasis = 16;
const int cb = 0 ;
LatticeFermion prom(FGrid);
std::vector<LatticeFermion> subspace(nbasis,FGrid);
std::cout<<GridLogMessage<<"Calling Aggregation class" <<std::endl;
///////////////////////////////////////////////////////////
// Squared operator is in HermOp
///////////////////////////////////////////////////////////
MdagMLinearOperator<DomainWallFermionD,LatticeFermion> HermDefOp(Ddwf);
///////////////////////////////////////////////////
// Random aggregation space
///////////////////////////////////////////////////
std::cout<<GridLogMessage << "Building random aggregation class"<< std::endl;
typedef Aggregation<vSpinColourVector,vTComplex,nbasis> Subspace;
Subspace Aggregates(Coarse5d,FGrid,cb);
Aggregates.CreateSubspaceRandom(RNG5);
///////////////////////////////////////////////////
// Build little dirac op
///////////////////////////////////////////////////
std::cout<<GridLogMessage << "Building little Dirac operator"<< std::endl;
typedef GeneralCoarsenedMatrix<vSpinColourVector,vTComplex,nbasis> LittleDiracOperator;
typedef LittleDiracOperator::CoarseVector CoarseVector;
NextToNearestStencilGeometry5D geom(Coarse5d);
LittleDiracOperator LittleDiracOp(geom,FGrid,Coarse5d);
LittleDiracOperator LittleDiracOpCol(geom,FGrid,Coarse5d);
HermOpAdaptor<LatticeFermionD> HOA(HermDefOp);
int pp=16;
LittleDiracOp.CoarsenOperator(HOA,Aggregates);
///////////////////////////////////////////////////
// Test the operator
///////////////////////////////////////////////////
CoarseVector c_src (Coarse5d);
CoarseVector c_res (Coarse5d);
CoarseVector c_res_dag(Coarse5d);
CoarseVector c_proj(Coarse5d);
subspace=Aggregates.subspace;
// random(CRNG,c_src);
c_src = 1.0;
blockPromote(c_src,err,subspace);
prom=Zero();
for(int b=0;b<nbasis;b++){
prom=prom+subspace[b];
}
err=err-prom;
std::cout<<GridLogMessage<<"Promoted back from subspace: err "<<norm2(err)<<std::endl;
std::cout<<GridLogMessage<<"c_src "<<norm2(c_src)<<std::endl;
std::cout<<GridLogMessage<<"prom "<<norm2(prom)<<std::endl;
HermDefOp.HermOp(prom,tmp);
blockProject(c_proj,tmp,subspace);
std::cout<<GridLogMessage<<" Called Big Dirac Op "<<norm2(tmp)<<std::endl;
std::cout<<GridLogMessage<<" Calling little Dirac Op "<<std::endl;
LittleDiracOp.M(c_src,c_res);
LittleDiracOp.Mdag(c_src,c_res_dag);
std::cout<<GridLogMessage<<"Little dop : "<<norm2(c_res)<<std::endl;
std::cout<<GridLogMessage<<"Little dop dag : "<<norm2(c_res_dag)<<std::endl;
std::cout<<GridLogMessage<<"Big dop in subspace : "<<norm2(c_proj)<<std::endl;
c_proj = c_proj - c_res;
std::cout<<GridLogMessage<<" ldop error: "<<norm2(c_proj)<<std::endl;
c_res_dag = c_res_dag - c_res;
std::cout<<GridLogMessage<<"Little dopDag - dop: "<<norm2(c_res_dag)<<std::endl;
std::cout<<GridLogMessage << "Testing Hermiticity stochastically "<< std::endl;
CoarseVector phi(Coarse5d);
CoarseVector chi(Coarse5d);
CoarseVector Aphi(Coarse5d);
CoarseVector Achi(Coarse5d);
random(CRNG,phi);
random(CRNG,chi);
std::cout<<GridLogMessage<<"Made randoms "<<norm2(phi)<<" " << norm2(chi)<<std::endl;
LittleDiracOp.M(phi,Aphi);
LittleDiracOp.Mdag(chi,Achi);
std::cout<<GridLogMessage<<"Aphi "<<norm2(Aphi)<<" A chi" << norm2(Achi)<<std::endl;
ComplexD pAc = innerProduct(chi,Aphi);
ComplexD cAp = innerProduct(phi,Achi);
ComplexD cAc = innerProduct(chi,Achi);
ComplexD pAp = innerProduct(phi,Aphi);
std::cout<<GridLogMessage<< "pAc "<<pAc<<" cAp "<< cAp<< " diff "<<pAc-adj(cAp)<<std::endl;
std::cout<<GridLogMessage<< "pAp "<<pAp<<" cAc "<< cAc<<"Should be real"<< std::endl;
std::cout<<GridLogMessage<<"Testing linearity"<<std::endl;
CoarseVector PhiPlusChi(Coarse5d);
CoarseVector APhiPlusChi(Coarse5d);
CoarseVector linerr(Coarse5d);
PhiPlusChi = phi+chi;
LittleDiracOp.M(PhiPlusChi,APhiPlusChi);
linerr= APhiPlusChi-Aphi;
linerr= linerr-Achi;
std::cout<<GridLogMessage<<"**Diff "<<norm2(linerr)<<std::endl;
std::cout<<GridLogMessage<<std::endl;
std::cout<<GridLogMessage<<std::endl;
std::cout<<GridLogMessage<<"*******************************************"<<std::endl;
std::cout<<GridLogMessage<<"*******************************************"<<std::endl;
std::cout<<GridLogMessage<<"*******************************************"<<std::endl;
Grid_finalize();
return 0;
}

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@ -0,0 +1,426 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./tests/Test_general_coarse_hdcg.cc
Copyright (C) 2023
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 */
#include <Grid/Grid.h>
#include <Grid/lattice/PaddedCell.h>
#include <Grid/stencil/GeneralLocalStencil.h>
//#include <Grid/algorithms/GeneralCoarsenedMatrix.h>
#include <Grid/algorithms/iterative/AdefGeneric.h>
using namespace std;
using namespace Grid;
template<class Coarsened>
void SaveOperator(Coarsened &Operator,std::string file)
{
#ifdef HAVE_LIME
emptyUserRecord record;
ScidacWriter WR(Operator.Grid()->IsBoss());
assert(Operator._A.size()==Operator.geom.npoint);
WR.open(file);
for(int p=0;p<Operator._A.size();p++){
auto tmp = Operator.Cell.Extract(Operator._A[p]);
WR.writeScidacFieldRecord(tmp,record);
}
WR.close();
#endif
}
template<class Coarsened>
void LoadOperator(Coarsened &Operator,std::string file)
{
#ifdef HAVE_LIME
emptyUserRecord record;
Grid::ScidacReader RD ;
RD.open(file);
assert(Operator._A.size()==Operator.geom.npoint);
for(int p=0;p<Operator.geom.npoint;p++){
conformable(Operator._A[p].Grid(),Operator.CoarseGrid());
RD.readScidacFieldRecord(Operator._A[p],record);
}
RD.close();
Operator.ExchangeCoarseLinks();
#endif
}
template<class aggregation>
void SaveBasis(aggregation &Agg,std::string file)
{
#ifdef HAVE_LIME
emptyUserRecord record;
ScidacWriter WR(Agg.FineGrid->IsBoss());
WR.open(file);
for(int b=0;b<Agg.subspace.size();b++){
WR.writeScidacFieldRecord(Agg.subspace[b],record);
}
WR.close();
#endif
}
template<class aggregation>
void LoadBasis(aggregation &Agg, std::string file)
{
#ifdef HAVE_LIME
emptyUserRecord record;
ScidacReader RD ;
RD.open(file);
for(int b=0;b<Agg.subspace.size();b++){
RD.readScidacFieldRecord(Agg.subspace[b],record);
}
RD.close();
#endif
}
template<class Field> class TestSolver : public LinearFunction<Field> {
public:
TestSolver() {};
void operator() (const Field &in, Field &out){ out = Zero(); }
};
RealD InverseApproximation(RealD x){
return 1.0/x;
}
// Want Op in CoarsenOp to call MatPcDagMatPc
template<class Field>
class HermOpAdaptor : public LinearOperatorBase<Field>
{
LinearOperatorBase<Field> & wrapped;
public:
HermOpAdaptor(LinearOperatorBase<Field> &wrapme) : wrapped(wrapme) {};
void Op (const Field &in, Field &out) { wrapped.HermOp(in,out); }
void HermOp(const Field &in, Field &out) { wrapped.HermOp(in,out); }
void AdjOp (const Field &in, Field &out){ wrapped.HermOp(in,out); }
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 HermOpAndNorm(const Field &in, Field &out,RealD &n1,RealD &n2){ assert(0); }
};
template<class Field,class Matrix> class ChebyshevSmoother : public LinearFunction<Field>
{
public:
using LinearFunction<Field>::operator();
typedef LinearOperatorBase<Field> FineOperator;
FineOperator & _SmootherOperator;
Chebyshev<Field> Cheby;
ChebyshevSmoother(RealD _lo,RealD _hi,int _ord, FineOperator &SmootherOperator) :
_SmootherOperator(SmootherOperator),
Cheby(_lo,_hi,_ord,InverseApproximation)
{
std::cout << GridLogMessage<<" Chebyshev smoother order "<<_ord<<" ["<<_lo<<","<<_hi<<"]"<<std::endl;
};
void operator() (const Field &in, Field &out)
{
Field tmp(in.Grid());
tmp = in;
Cheby(_SmootherOperator,tmp,out);
}
};
int main (int argc, char ** argv)
{
Grid_init(&argc,&argv);
const int Ls=24;
const int nbasis = 40;
const int cb = 0 ;
RealD mass=0.00078;
RealD M5=1.8;
RealD b=1.5;
RealD c=0.5;
GridCartesian * UGrid = SpaceTimeGrid::makeFourDimGrid(GridDefaultLatt(),
GridDefaultSimd(Nd,vComplex::Nsimd()),
GridDefaultMpi());
GridRedBlackCartesian * UrbGrid = SpaceTimeGrid::makeFourDimRedBlackGrid(UGrid);
GridCartesian * FGrid = SpaceTimeGrid::makeFiveDimGrid(Ls,UGrid);
GridRedBlackCartesian * FrbGrid = SpaceTimeGrid::makeFiveDimRedBlackGrid(Ls,UGrid);
// Construct a coarsened grid with 4^4 cell
Coordinate clatt = GridDefaultLatt();
for(int d=0;d<clatt.size();d++){
clatt[d] = clatt[d]/4;
}
GridCartesian *Coarse4d = SpaceTimeGrid::makeFourDimGrid(clatt,
GridDefaultSimd(Nd,vComplex::Nsimd()),
GridDefaultMpi());;
GridCartesian *Coarse5d = SpaceTimeGrid::makeFiveDimGrid(1,Coarse4d);
///////////////////////// RNGs /////////////////////////////////
std::vector<int> seeds4({1,2,3,4});
std::vector<int> seeds5({5,6,7,8});
std::vector<int> cseeds({5,6,7,8});
GridParallelRNG RNG5(FGrid); RNG5.SeedFixedIntegers(seeds5);
GridParallelRNG RNG4(UGrid); RNG4.SeedFixedIntegers(seeds4);
GridParallelRNG CRNG(Coarse5d);CRNG.SeedFixedIntegers(cseeds);
///////////////////////// Configuration /////////////////////////////////
LatticeGaugeField Umu(UGrid);
FieldMetaData header;
std::string file("ckpoint_lat.4000");
NerscIO::readConfiguration(Umu,header,file);
//////////////////////// Fermion action //////////////////////////////////
MobiusFermionD Ddwf(Umu,*FGrid,*FrbGrid,*UGrid,*UrbGrid,mass,M5,b,c);
SchurDiagMooeeOperator<MobiusFermionD, LatticeFermion> HermOpEO(Ddwf);
typedef HermOpAdaptor<LatticeFermionD> HermFineMatrix;
HermFineMatrix FineHermOp(HermOpEO);
LatticeFermion result(FrbGrid); result=Zero();
LatticeFermion src(FrbGrid); random(RNG5,src);
// Run power method on FineHermOp
PowerMethod<LatticeFermion> PM; PM(HermOpEO,src);
////////////////////////////////////////////////////////////
///////////// Coarse basis and Little Dirac Operator ///////
////////////////////////////////////////////////////////////
typedef GeneralCoarsenedMatrix<vSpinColourVector,vTComplex,nbasis> LittleDiracOperator;
typedef LittleDiracOperator::CoarseVector CoarseVector;
NextToNextToNextToNearestStencilGeometry5D geom(Coarse5d);
NearestStencilGeometry5D geom_nn(Coarse5d);
// Warning: This routine calls PVdagM.Op, not PVdagM.HermOp
typedef Aggregation<vSpinColourVector,vTComplex,nbasis> Subspace;
Subspace Aggregates(Coarse5d,FrbGrid,cb);
////////////////////////////////////////////////////////////
// Need to check about red-black grid coarsening
////////////////////////////////////////////////////////////
LittleDiracOperator LittleDiracOp(geom,FrbGrid,Coarse5d);
bool load=false;
if ( load ) {
LoadBasis(Aggregates,"/lustre/orion/phy157/proj-shared/phy157_dwf/paboyle/Subspace.scidac");
LoadOperator(LittleDiracOp,"/lustre/orion/phy157/proj-shared/phy157_dwf/paboyle/LittleDiracOp.scidac");
} else {
Aggregates.CreateSubspaceChebyshev(RNG5,HermOpEO,nbasis,
95.0,0.1,
// 400,200,200 -- 48 iters
// 600,200,200 -- 38 iters, 162s
// 600,200,100 -- 38 iters, 169s
// 600,200,50 -- 88 iters. 370s
800,
200,
100,
0.0);
LittleDiracOp.CoarsenOperator(FineHermOp,Aggregates);
SaveBasis(Aggregates,"/lustre/orion/phy157/proj-shared/phy157_dwf/paboyle/Subspace.scidac");
SaveOperator(LittleDiracOp,"/lustre/orion/phy157/proj-shared/phy157_dwf/paboyle/LittleDiracOp.scidac");
}
// Try projecting to one hop only
LittleDiracOperator LittleDiracOpProj(geom_nn,FrbGrid,Coarse5d);
LittleDiracOpProj.ProjectNearestNeighbour(0.01,LittleDiracOp); // smaller shift 0.02? n
typedef HermitianLinearOperator<LittleDiracOperator,CoarseVector> HermMatrix;
HermMatrix CoarseOp (LittleDiracOp);
HermMatrix CoarseOpProj (LittleDiracOpProj);
//////////////////////////////////////////
// Build a coarse lanczos
//////////////////////////////////////////
Chebyshev<CoarseVector> IRLCheby(0.2,40.0,71); // 1 iter
FunctionHermOp<CoarseVector> IRLOpCheby(IRLCheby,CoarseOp);
PlainHermOp<CoarseVector> IRLOp (CoarseOp);
int Nk=48;
int Nm=64;
int Nstop=Nk;
ImplicitlyRestartedLanczos<CoarseVector> IRL(IRLOpCheby,IRLOp,Nstop,Nk,Nm,1.0e-5,20);
int Nconv;
std::vector<RealD> eval(Nm);
std::vector<CoarseVector> evec(Nm,Coarse5d);
CoarseVector c_src(Coarse5d);
//c_src=1.0;
random(CRNG,c_src);
CoarseVector c_res(Coarse5d);
CoarseVector c_ref(Coarse5d);
PowerMethod<CoarseVector> cPM; cPM(CoarseOp,c_src);
IRL.calc(eval,evec,c_src,Nconv);
DeflatedGuesser<CoarseVector> DeflCoarseGuesser(evec,eval);
//////////////////////////////////////////
// Build a coarse space solver
//////////////////////////////////////////
int maxit=20000;
ConjugateGradient<CoarseVector> CG(1.0e-8,maxit,false);
ConjugateGradient<LatticeFermionD> CGfine(1.0e-8,10000,false);
ZeroGuesser<CoarseVector> CoarseZeroGuesser;
// HPDSolver<CoarseVector> HPDSolve(CoarseOp,CG,CoarseZeroGuesser);
HPDSolver<CoarseVector> HPDSolve(CoarseOp,CG,DeflCoarseGuesser);
c_res=Zero();
HPDSolve(c_src,c_res); c_ref = c_res;
std::cout << GridLogMessage<<"src norm "<<norm2(c_src)<<std::endl;
std::cout << GridLogMessage<<"ref norm "<<norm2(c_ref)<<std::endl;
//////////////////////////////////////////////////////////////////////////
// Deflated (with real op EV's) solve for the projected coarse op
// Work towards ADEF1 in the coarse space
//////////////////////////////////////////////////////////////////////////
HPDSolver<CoarseVector> HPDSolveProj(CoarseOpProj,CG,DeflCoarseGuesser);
c_res=Zero();
HPDSolveProj(c_src,c_res);
std::cout << GridLogMessage<<"src norm "<<norm2(c_src)<<std::endl;
std::cout << GridLogMessage<<"res norm "<<norm2(c_res)<<std::endl;
c_res = c_res - c_ref;
std::cout << "Projected solver error "<<norm2(c_res)<<std::endl;
//////////////////////////////////////////////////////////////////////
// Coarse ADEF1 with deflation space
//////////////////////////////////////////////////////////////////////
ChebyshevSmoother<CoarseVector,HermMatrix >
CoarseSmoother(1.0,37.,8,CoarseOpProj); // just go to sloppy 0.1 convergence
// CoarseSmoother(0.1,37.,8,CoarseOpProj); //
// CoarseSmoother(0.5,37.,6,CoarseOpProj); // 8 iter 0.36s
// CoarseSmoother(0.5,37.,12,CoarseOpProj); // 8 iter, 0.55s
// CoarseSmoother(0.5,37.,8,CoarseOpProj);// 7-9 iter
// CoarseSmoother(1.0,37.,8,CoarseOpProj); // 0.4 - 0.5s solve to 0.04, 7-9 iter
// ChebyshevSmoother<CoarseVector,HermMatrix > CoarseSmoother(0.5,36.,10,CoarseOpProj); // 311
////////////////////////////////////////////////////////
// CG, Cheby mode spacing 200,200
// Unprojected Coarse CG solve to 1e-8 : 190 iters, 4.9s
// Unprojected Coarse CG solve to 4e-2 : 33 iters, 0.8s
// Projected Coarse CG solve to 1e-8 : 100 iters, 0.36s
////////////////////////////////////////////////////////
// CoarseSmoother(1.0,48.,8,CoarseOpProj); 48 evecs
////////////////////////////////////////////////////////
// ADEF1 Coarse solve to 1e-8 : 44 iters, 2.34s 2.1x gain
// ADEF1 Coarse solve to 4e-2 : 7 iters, 0.4s
// HDCG 38 iters 162s
//
// CoarseSmoother(1.0,40.,8,CoarseOpProj); 48 evecs
// ADEF1 Coarse solve to 1e-8 : 37 iters, 2.0s 2.1x gain
// ADEF1 Coarse solve to 4e-2 : 6 iters, 0.36s
// HDCG 38 iters 169s
TwoLevelADEF1defl<CoarseVector>
cADEF1(1.0e-8, 500,
CoarseOp,
CoarseSmoother,
evec,eval);
c_res=Zero();
cADEF1(c_src,c_res);
std::cout << GridLogMessage<<"src norm "<<norm2(c_src)<<std::endl;
std::cout << GridLogMessage<<"cADEF1 res norm "<<norm2(c_res)<<std::endl;
c_res = c_res - c_ref;
std::cout << "cADEF1 solver error "<<norm2(c_res)<<std::endl;
// cADEF1.Tolerance = 4.0e-2;
// cADEF1.Tolerance = 1.0e-1;
cADEF1.Tolerance = 5.0e-2;
c_res=Zero();
cADEF1(c_src,c_res);
std::cout << GridLogMessage<<"src norm "<<norm2(c_src)<<std::endl;
std::cout << GridLogMessage<<"cADEF1 res norm "<<norm2(c_res)<<std::endl;
c_res = c_res - c_ref;
std::cout << "cADEF1 solver error "<<norm2(c_res)<<std::endl;
//////////////////////////////////////////
// Build a smoother
//////////////////////////////////////////
// ChebyshevSmoother<LatticeFermionD,HermFineMatrix > Smoother(10.0,100.0,10,FineHermOp); //499
// ChebyshevSmoother<LatticeFermionD,HermFineMatrix > Smoother(3.0,100.0,10,FineHermOp); //383
// ChebyshevSmoother<LatticeFermionD,HermFineMatrix > Smoother(1.0,100.0,10,FineHermOp); //328
// std::vector<RealD> los({0.5,1.0,3.0}); // 147/142/146 nbasis 1
// std::vector<RealD> los({1.0,2.0}); // Nbasis 24: 88,86 iterations
// std::vector<RealD> los({2.0,4.0}); // Nbasis 32 == 52, iters
// std::vector<RealD> los({2.0,4.0}); // Nbasis 40 == 36,36 iters
//
// Turns approx 2700 iterations into 340 fine multiplies with Nbasis 40
// Need to measure cost of coarse space.
//
// -- i) Reduce coarse residual -- 0.04
// -- ii) Lanczos on coarse space -- done
// -- iii) Possible 1 hop project and/or preconditioning it - easy - PrecCG it and
// use a limited stencil. Reread BFM code to check on evecs / deflation strategy with prec
//
std::vector<RealD> los({3.0}); // Nbasis 40 == 36,36 iters
// std::vector<int> ords({7,8,10}); // Nbasis 40 == 40,38,36 iters (320,342,396 mults)
std::vector<int> ords({7}); // Nbasis 40 == 40 iters (320 mults)
for(int l=0;l<los.size();l++){
RealD lo = los[l];
for(int o=0;o<ords.size();o++){
ConjugateGradient<CoarseVector> CGsloppy(4.0e-2,maxit,false);
HPDSolver<CoarseVector> HPDSolveSloppy(CoarseOp,CGsloppy,DeflCoarseGuesser);
// ChebyshevSmoother<LatticeFermionD,HermFineMatrix > Smoother(lo,92,10,FineHermOp); // 36 best case
ChebyshevSmoother<LatticeFermionD,HermFineMatrix > Smoother(lo,92,ords[o],FineHermOp); // 311
//////////////////////////////////////////
// Build a HDCG solver
//////////////////////////////////////////
TwoLevelADEF2<LatticeFermion,CoarseVector,Subspace>
HDCG(1.0e-8, 100,
FineHermOp,
Smoother,
HPDSolveSloppy,
HPDSolve,
Aggregates);
TwoLevelADEF2<LatticeFermion,CoarseVector,Subspace>
HDCGdefl(1.0e-8, 100,
FineHermOp,
Smoother,
cADEF1,
HPDSolve,
Aggregates);
result=Zero();
HDCGdefl(src,result);
result=Zero();
HDCG(src,result);
}
}
// Standard CG
result=Zero();
CGfine(HermOpEO, src, result);
Grid_finalize();
return 0;
}

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@ -0,0 +1,429 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./tests/Test_general_coarse_hdcg.cc
Copyright (C) 2023
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 */
#include <Grid/Grid.h>
#include <Grid/lattice/PaddedCell.h>
#include <Grid/stencil/GeneralLocalStencil.h>
//#include <Grid/algorithms/GeneralCoarsenedMatrix.h>
#include <Grid/algorithms/iterative/AdefGeneric.h>
using namespace std;
using namespace Grid;
template<class Coarsened>
void SaveOperator(Coarsened &Operator,std::string file)
{
#ifdef HAVE_LIME
emptyUserRecord record;
ScidacWriter WR(Operator.Grid()->IsBoss());
assert(Operator._A.size()==Operator.geom.npoint);
WR.open(file);
for(int p=0;p<Operator._A.size();p++){
auto tmp = Operator.Cell.Extract(Operator._A[p]);
WR.writeScidacFieldRecord(tmp,record,0,0);
// WR.writeScidacFieldRecord(tmp,record,0,BINARYIO_LEXICOGRAPHIC);
}
WR.close();
#endif
}
template<class Coarsened>
void LoadOperator(Coarsened &Operator,std::string file)
{
#ifdef HAVE_LIME
emptyUserRecord record;
Grid::ScidacReader RD ;
RD.open(file);
assert(Operator._A.size()==Operator.geom.npoint);
for(int p=0;p<Operator.geom.npoint;p++){
conformable(Operator._A[p].Grid(),Operator.CoarseGrid());
// RD.readScidacFieldRecord(Operator._A[p],record,BINARYIO_LEXICOGRAPHIC);
RD.readScidacFieldRecord(Operator._A[p],record,0);
}
RD.close();
Operator.ExchangeCoarseLinks();
#endif
}
template<class aggregation>
void SaveBasis(aggregation &Agg,std::string file)
{
#ifdef HAVE_LIME
emptyUserRecord record;
ScidacWriter WR(Agg.FineGrid->IsBoss());
WR.open(file);
for(int b=0;b<Agg.subspace.size();b++){
//WR.writeScidacFieldRecord(Agg.subspace[b],record,0,BINARYIO_LEXICOGRAPHIC);
WR.writeScidacFieldRecord(Agg.subspace[b],record,0,0);
}
WR.close();
#endif
}
template<class aggregation>
void LoadBasis(aggregation &Agg, std::string file)
{
#ifdef HAVE_LIME
emptyUserRecord record;
ScidacReader RD ;
RD.open(file);
for(int b=0;b<Agg.subspace.size();b++){
// RD.readScidacFieldRecord(Agg.subspace[b],record,BINARYIO_LEXICOGRAPHIC);
RD.readScidacFieldRecord(Agg.subspace[b],record,0);
}
RD.close();
#endif
}
template<class Field> class TestSolver : public LinearFunction<Field> {
public:
TestSolver() {};
void operator() (const Field &in, Field &out){ out = Zero(); }
};
RealD InverseApproximation(RealD x){
return 1.0/x;
}
// Want Op in CoarsenOp to call MatPcDagMatPc
template<class Field>
class HermOpAdaptor : public LinearOperatorBase<Field>
{
LinearOperatorBase<Field> & wrapped;
public:
HermOpAdaptor(LinearOperatorBase<Field> &wrapme) : wrapped(wrapme) {};
void Op (const Field &in, Field &out) { wrapped.HermOp(in,out); }
void HermOp(const Field &in, Field &out) { wrapped.HermOp(in,out); }
void AdjOp (const Field &in, Field &out){ wrapped.HermOp(in,out); }
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 HermOpAndNorm(const Field &in, Field &out,RealD &n1,RealD &n2){ assert(0); }
};
template<class Field,class Matrix> class ChebyshevSmoother : public LinearFunction<Field>
{
public:
using LinearFunction<Field>::operator();
typedef LinearOperatorBase<Field> FineOperator;
FineOperator & _SmootherOperator;
Chebyshev<Field> Cheby;
ChebyshevSmoother(RealD _lo,RealD _hi,int _ord, FineOperator &SmootherOperator) :
_SmootherOperator(SmootherOperator),
Cheby(_lo,_hi,_ord,InverseApproximation)
{
std::cout << GridLogMessage<<" Chebyshev smoother order "<<_ord<<" ["<<_lo<<","<<_hi<<"]"<<std::endl;
};
void operator() (const Field &in, Field &out)
{
Field tmp(in.Grid());
tmp = in;
Cheby(_SmootherOperator,tmp,out);
}
};
int main (int argc, char ** argv)
{
Grid_init(&argc,&argv);
const int Ls=24;
const int nbasis = 40;
const int cb = 0 ;
RealD mass=0.00078;
RealD M5=1.8;
RealD b=1.5;
RealD c=0.5;
GridCartesian * UGrid = SpaceTimeGrid::makeFourDimGrid(GridDefaultLatt(),
GridDefaultSimd(Nd,vComplex::Nsimd()),
GridDefaultMpi());
GridRedBlackCartesian * UrbGrid = SpaceTimeGrid::makeFourDimRedBlackGrid(UGrid);
GridCartesian * FGrid = SpaceTimeGrid::makeFiveDimGrid(Ls,UGrid);
GridRedBlackCartesian * FrbGrid = SpaceTimeGrid::makeFiveDimRedBlackGrid(Ls,UGrid);
// Construct a coarsened grid with 4^4 cell
Coordinate clatt = GridDefaultLatt();
for(int d=0;d<clatt.size();d++){
clatt[d] = clatt[d]/4;
}
GridCartesian *Coarse4d = SpaceTimeGrid::makeFourDimGrid(clatt,
GridDefaultSimd(Nd,vComplex::Nsimd()),
GridDefaultMpi());;
GridCartesian *Coarse5d = SpaceTimeGrid::makeFiveDimGrid(1,Coarse4d);
///////////////////////// RNGs /////////////////////////////////
std::vector<int> seeds4({1,2,3,4});
std::vector<int> seeds5({5,6,7,8});
std::vector<int> cseeds({5,6,7,8});
GridParallelRNG RNG5(FGrid); RNG5.SeedFixedIntegers(seeds5);
GridParallelRNG RNG4(UGrid); RNG4.SeedFixedIntegers(seeds4);
GridParallelRNG CRNG(Coarse5d);CRNG.SeedFixedIntegers(cseeds);
///////////////////////// Configuration /////////////////////////////////
LatticeGaugeField Umu(UGrid);
FieldMetaData header;
std::string file("ckpoint_lat.2250");
NerscIO::readConfiguration(Umu,header,file);
//////////////////////// Fermion action //////////////////////////////////
MobiusFermionD Ddwf(Umu,*FGrid,*FrbGrid,*UGrid,*UrbGrid,mass,M5,b,c);
SchurDiagMooeeOperator<MobiusFermionD, LatticeFermion> HermOpEO(Ddwf);
typedef HermOpAdaptor<LatticeFermionD> HermFineMatrix;
HermFineMatrix FineHermOp(HermOpEO);
LatticeFermion result(FrbGrid); result=Zero();
LatticeFermion src(FrbGrid); random(RNG5,src);
// Run power method on FineHermOp
PowerMethod<LatticeFermion> PM; PM(HermOpEO,src);
////////////////////////////////////////////////////////////
///////////// Coarse basis and Little Dirac Operator ///////
////////////////////////////////////////////////////////////
typedef GeneralCoarsenedMatrix<vSpinColourVector,vTComplex,nbasis> LittleDiracOperator;
typedef LittleDiracOperator::CoarseVector CoarseVector;
NextToNextToNextToNearestStencilGeometry5D geom(Coarse5d);
NearestStencilGeometry5D geom_nn(Coarse5d);
// Warning: This routine calls PVdagM.Op, not PVdagM.HermOp
typedef Aggregation<vSpinColourVector,vTComplex,nbasis> Subspace;
Subspace Aggregates(Coarse5d,FrbGrid,cb);
////////////////////////////////////////////////////////////
// Need to check about red-black grid coarsening
////////////////////////////////////////////////////////////
LittleDiracOperator LittleDiracOp(geom,FrbGrid,Coarse5d);
std::string subspace_file("/lustre/orion/phy157/proj-shared/phy157_dwf/paboyle/Subspace.phys.nolex.scidac");
std::string ldop_file("/lustre/orion/phy157/proj-shared/phy157_dwf/paboyle/LittleDiracOp.phys.nolex.scidac");
bool load_agg=true;
bool load_mat=true;
if ( load_agg ) {
LoadBasis(Aggregates,subspace_file);
} else {
Aggregates.CreateSubspaceChebyshev(RNG5,HermOpEO,nbasis,
95.0,0.05,
1000,
200,
200,
0.0);
SaveBasis(Aggregates,subspace_file);
}
if ( load_mat ) {
LoadOperator(LittleDiracOp,ldop_file);
} else {
LittleDiracOp.CoarsenOperator(FineHermOp,Aggregates);
SaveOperator(LittleDiracOp,ldop_file);
}
// Try projecting to one hop only
LittleDiracOperator LittleDiracOpProj(geom_nn,FrbGrid,Coarse5d);
LittleDiracOpProj.ProjectNearestNeighbour(0.01,LittleDiracOp); // smaller shift 0.02? n
typedef HermitianLinearOperator<LittleDiracOperator,CoarseVector> HermMatrix;
HermMatrix CoarseOp (LittleDiracOp);
HermMatrix CoarseOpProj (LittleDiracOpProj);
//////////////////////////////////////////
// Build a coarse lanczos
//////////////////////////////////////////
// Chebyshev<CoarseVector> IRLCheby(0.01,44.0,201); // 1 iter
Chebyshev<CoarseVector> IRLCheby(0.005,44.0,401); // 1 iter
FunctionHermOp<CoarseVector> IRLOpCheby(IRLCheby,CoarseOp);
PlainHermOp<CoarseVector> IRLOp (CoarseOp);
int Nk=160;
int Nm=240;
int Nstop=Nk;
ImplicitlyRestartedLanczos<CoarseVector> IRL(IRLOpCheby,IRLOp,Nstop,Nk,Nm,1.0e-3,20);
int Nconv;
std::vector<RealD> eval(Nm);
std::vector<CoarseVector> evec(Nm,Coarse5d);
CoarseVector c_src(Coarse5d); c_src=1.0;
CoarseVector c_res(Coarse5d);
CoarseVector c_ref(Coarse5d);
PowerMethod<CoarseVector> cPM; cPM(CoarseOp,c_src);
IRL.calc(eval,evec,c_src,Nconv);
DeflatedGuesser<CoarseVector> DeflCoarseGuesser(evec,eval);
//////////////////////////////////////////
// Build a coarse space solver
//////////////////////////////////////////
int maxit=20000;
ConjugateGradient<CoarseVector> CG(1.0e-8,maxit,false);
ConjugateGradient<LatticeFermionD> CGfine(1.0e-8,10000,false);
ZeroGuesser<CoarseVector> CoarseZeroGuesser;
// HPDSolver<CoarseVector> HPDSolve(CoarseOp,CG,CoarseZeroGuesser);
HPDSolver<CoarseVector> HPDSolve(CoarseOp,CG,DeflCoarseGuesser);
c_res=Zero();
// HPDSolve(c_src,c_res); c_ref = c_res;
// std::cout << GridLogMessage<<"src norm "<<norm2(c_src)<<std::endl;
// std::cout << GridLogMessage<<"ref norm "<<norm2(c_ref)<<std::endl;
//////////////////////////////////////////////////////////////////////////
// Deflated (with real op EV's) solve for the projected coarse op
// Work towards ADEF1 in the coarse space
//////////////////////////////////////////////////////////////////////////
HPDSolver<CoarseVector> HPDSolveProj(CoarseOpProj,CG,DeflCoarseGuesser);
c_res=Zero();
// HPDSolveProj(c_src,c_res);
// std::cout << GridLogMessage<<"src norm "<<norm2(c_src)<<std::endl;
// std::cout << GridLogMessage<<"res norm "<<norm2(c_res)<<std::endl;
// c_res = c_res - c_ref;
// std::cout << "Projected solver error "<<norm2(c_res)<<std::endl;
//////////////////////////////////////////////////////////////////////
// Coarse ADEF1 with deflation space
//////////////////////////////////////////////////////////////////////
ChebyshevSmoother<CoarseVector,HermMatrix >
CoarseSmoother(1.0,37.,8,CoarseOpProj); // just go to sloppy 0.1 convergence
// CoarseSmoother(0.1,37.,8,CoarseOpProj); //
// CoarseSmoother(0.5,37.,6,CoarseOpProj); // 8 iter 0.36s
// CoarseSmoother(0.5,37.,12,CoarseOpProj); // 8 iter, 0.55s
// CoarseSmoother(0.5,37.,8,CoarseOpProj);// 7-9 iter
// CoarseSmoother(1.0,37.,8,CoarseOpProj); // 0.4 - 0.5s solve to 0.04, 7-9 iter
// ChebyshevSmoother<CoarseVector,HermMatrix > CoarseSmoother(0.5,36.,10,CoarseOpProj); // 311
////////////////////////////////////////////////////////
// CG, Cheby mode spacing 200,200
// Unprojected Coarse CG solve to 1e-8 : 190 iters, 4.9s
// Unprojected Coarse CG solve to 4e-2 : 33 iters, 0.8s
// Projected Coarse CG solve to 1e-8 : 100 iters, 0.36s
////////////////////////////////////////////////////////
// CoarseSmoother(1.0,48.,8,CoarseOpProj); 48 evecs
////////////////////////////////////////////////////////
// ADEF1 Coarse solve to 1e-8 : 44 iters, 2.34s 2.1x gain
// ADEF1 Coarse solve to 4e-2 : 7 iters, 0.4s
// HDCG 38 iters 162s
//
// CoarseSmoother(1.0,40.,8,CoarseOpProj); 48 evecs
// ADEF1 Coarse solve to 1e-8 : 37 iters, 2.0s 2.1x gain
// ADEF1 Coarse solve to 4e-2 : 6 iters, 0.36s
// HDCG 38 iters 169s
TwoLevelADEF1defl<CoarseVector>
cADEF1(1.0e-8, 500,
CoarseOp,
CoarseSmoother,
evec,eval);
// c_res=Zero();
// cADEF1(c_src,c_res);
// std::cout << GridLogMessage<<"src norm "<<norm2(c_src)<<std::endl;
// std::cout << GridLogMessage<<"cADEF1 res norm "<<norm2(c_res)<<std::endl;
// c_res = c_res - c_ref;
// std::cout << "cADEF1 solver error "<<norm2(c_res)<<std::endl;
// cADEF1.Tolerance = 4.0e-2;
// cADEF1.Tolerance = 1.0e-1;
// cADEF1.Tolerance = 5.0e-2;
// c_res=Zero();
// cADEF1(c_src,c_res);
// std::cout << GridLogMessage<<"src norm "<<norm2(c_src)<<std::endl;
// std::cout << GridLogMessage<<"cADEF1 res norm "<<norm2(c_res)<<std::endl;
// c_res = c_res - c_ref;
// std::cout << "cADEF1 solver error "<<norm2(c_res)<<std::endl;
//////////////////////////////////////////
// Build a smoother
//////////////////////////////////////////
// ChebyshevSmoother<LatticeFermionD,HermFineMatrix > Smoother(10.0,100.0,10,FineHermOp); //499
// ChebyshevSmoother<LatticeFermionD,HermFineMatrix > Smoother(3.0,100.0,10,FineHermOp); //383
// ChebyshevSmoother<LatticeFermionD,HermFineMatrix > Smoother(1.0,100.0,10,FineHermOp); //328
// std::vector<RealD> los({0.5,1.0,3.0}); // 147/142/146 nbasis 1
// std::vector<RealD> los({1.0,2.0}); // Nbasis 24: 88,86 iterations
// std::vector<RealD> los({2.0,4.0}); // Nbasis 32 == 52, iters
// std::vector<RealD> los({2.0,4.0}); // Nbasis 40 == 36,36 iters
//
// Turns approx 2700 iterations into 340 fine multiplies with Nbasis 40
// Need to measure cost of coarse space.
//
// -- i) Reduce coarse residual -- 0.04
// -- ii) Lanczos on coarse space -- done
// -- iii) Possible 1 hop project and/or preconditioning it - easy - PrecCG it and
// use a limited stencil. Reread BFM code to check on evecs / deflation strategy with prec
//
std::vector<RealD> los({3.0}); // Nbasis 40 == 36,36 iters
// std::vector<int> ords({7,8,10}); // Nbasis 40 == 40,38,36 iters (320,342,396 mults)
std::vector<int> ords({7}); // Nbasis 40 == 40 iters (320 mults)
for(int l=0;l<los.size();l++){
RealD lo = los[l];
for(int o=0;o<ords.size();o++){
ConjugateGradient<CoarseVector> CGsloppy(5.0e-2,maxit,false);
HPDSolver<CoarseVector> HPDSolveSloppy(CoarseOp,CGsloppy,DeflCoarseGuesser);
// ChebyshevSmoother<LatticeFermionD,HermFineMatrix > Smoother(lo,92,10,FineHermOp); // 36 best case
ChebyshevSmoother<LatticeFermionD,HermFineMatrix > Smoother(lo,92,ords[o],FineHermOp); // 311
//////////////////////////////////////////
// Build a HDCG solver
//////////////////////////////////////////
TwoLevelADEF2<LatticeFermion,CoarseVector,Subspace>
HDCG(1.0e-8, 100,
FineHermOp,
Smoother,
HPDSolveSloppy,
HPDSolve,
Aggregates);
TwoLevelADEF2<LatticeFermion,CoarseVector,Subspace>
HDCGdefl(1.0e-8, 100,
FineHermOp,
Smoother,
cADEF1,
HPDSolve,
Aggregates);
// result=Zero();
// HDCGdefl(src,result);
result=Zero();
HDCG(src,result);
}
}
// Standard CG
result=Zero();
CGfine(HermOpEO, src, result);
Grid_finalize();
return 0;
}

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@ -0,0 +1,267 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./tests/Test_padded_cell.cc
Copyright (C) 2023
Author: Peter Boyle <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/lattice/PaddedCell.h>
#include <Grid/stencil/GeneralLocalStencil.h>
#include <Grid/algorithms/iterative/PrecGeneralisedConjugateResidual.h>
#include <Grid/algorithms/iterative/PrecGeneralisedConjugateResidualNonHermitian.h>
#include <Grid/algorithms/iterative/BiCGSTAB.h>
using namespace std;
using namespace Grid;
template<class Field>
class HermOpAdaptor : public LinearOperatorBase<Field>
{
LinearOperatorBase<Field> & wrapped;
public:
HermOpAdaptor(LinearOperatorBase<Field> &wrapme) : wrapped(wrapme) {};
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){
wrapped.HermOp(in,out);
}
void AdjOp (const Field &in, Field &out){
wrapped.HermOp(in,out);
}
void HermOpAndNorm(const Field &in, Field &out,RealD &n1,RealD &n2){ assert(0); }
void HermOp(const Field &in, Field &out){
wrapped.HermOp(in,out);
}
};
template<class Matrix,class Field>
class PVdagMLinearOperator : public LinearOperatorBase<Field> {
Matrix &_Mat;
Matrix &_PV;
public:
PVdagMLinearOperator(Matrix &Mat,Matrix &PV): _Mat(Mat),_PV(PV){};
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){
Field tmp(in.Grid());
_Mat.M(in,tmp);
_PV.Mdag(tmp,out);
}
void AdjOp (const Field &in, Field &out){
Field tmp(in.Grid());
_PV.M(tmp,out);
_Mat.Mdag(in,tmp);
}
void HermOpAndNorm(const Field &in, Field &out,RealD &n1,RealD &n2){ assert(0); }
void HermOp(const Field &in, Field &out){
std::cout << "HermOp"<<std::endl;
Field tmp(in.Grid());
_Mat.M(in,tmp);
_PV.Mdag(tmp,out);
_PV.M(out,tmp);
_Mat.Mdag(tmp,out);
std::cout << "HermOp done "<<norm2(out)<<std::endl;
}
};
template<class Field> class DumbOperator : public LinearOperatorBase<Field> {
public:
LatticeComplex scale;
DumbOperator(GridBase *grid) : scale(grid)
{
scale = 0.0;
LatticeComplex scalesft(grid);
LatticeComplex scaletmp(grid);
for(int d=0;d<4;d++){
Lattice<iScalar<vInteger> > x(grid); LatticeCoordinate(x,d+1);
LatticeCoordinate(scaletmp,d+1);
scalesft = Cshift(scaletmp,d+1,1);
scale = 100.0*scale + where( mod(x ,2)==(Integer)0, scalesft,scaletmp);
}
std::cout << " scale\n" << scale << std::endl;
}
// Support for coarsening to a multigrid
void OpDiag (const Field &in, Field &out) {};
void OpDir (const Field &in, Field &out,int dir,int disp){};
void OpDirAll (const Field &in, std::vector<Field> &out) {};
void Op (const Field &in, Field &out){
out = scale * in;
}
void AdjOp (const Field &in, Field &out){
out = scale * in;
}
void HermOp(const Field &in, Field &out){
double n1, n2;
HermOpAndNorm(in,out,n1,n2);
}
void HermOpAndNorm(const Field &in, Field &out,double &n1,double &n2){
ComplexD dot;
out = scale * in;
dot= innerProduct(in,out);
n1=real(dot);
dot = innerProduct(out,out);
n2=real(dot);
}
};
int main (int argc, char ** argv)
{
Grid_init(&argc,&argv);
const int Ls=2;
GridCartesian * UGrid = SpaceTimeGrid::makeFourDimGrid(GridDefaultLatt(), GridDefaultSimd(Nd,vComplex::Nsimd()),GridDefaultMpi());
GridRedBlackCartesian * UrbGrid = SpaceTimeGrid::makeFourDimRedBlackGrid(UGrid);
GridCartesian * FGrid = SpaceTimeGrid::makeFiveDimGrid(Ls,UGrid);
GridRedBlackCartesian * FrbGrid = SpaceTimeGrid::makeFiveDimRedBlackGrid(Ls,UGrid);
// Construct a coarsened grid
Coordinate clatt = GridDefaultLatt();
for(int d=0;d<clatt.size();d++){
clatt[d] = clatt[d]/4;
}
GridCartesian *Coarse4d = SpaceTimeGrid::makeFourDimGrid(clatt, GridDefaultSimd(Nd,vComplex::Nsimd()),GridDefaultMpi());;
GridCartesian *Coarse5d = SpaceTimeGrid::makeFiveDimGrid(1,Coarse4d);
std::vector<int> seeds4({1,2,3,4});
std::vector<int> seeds5({5,6,7,8});
std::vector<int> cseeds({5,6,7,8});
GridParallelRNG RNG5(FGrid); RNG5.SeedFixedIntegers(seeds5);
GridParallelRNG RNG4(UGrid); RNG4.SeedFixedIntegers(seeds4);
GridParallelRNG CRNG(Coarse5d);CRNG.SeedFixedIntegers(cseeds);
LatticeFermion src(FGrid); random(RNG5,src);
LatticeFermion result(FGrid); result=Zero();
LatticeFermion ref(FGrid); ref=Zero();
LatticeFermion tmp(FGrid);
LatticeFermion err(FGrid);
LatticeGaugeField Umu(UGrid);
FieldMetaData header;
std::string file("ckpoint_lat.4000");
NerscIO::readConfiguration(Umu,header,file);
//Umu = 1.0;
RealD mass=0.5;
RealD M5=1.8;
DomainWallFermionD Ddwf(Umu,*FGrid,*FrbGrid,*UGrid,*UrbGrid,mass,M5);
DomainWallFermionD Dpv(Umu,*FGrid,*FrbGrid,*UGrid,*UrbGrid,1.0,M5);
const int nbasis = 1;
const int cb = 0 ;
LatticeFermion prom(FGrid);
typedef GeneralCoarsenedMatrix<vSpinColourVector,vTComplex,nbasis> LittleDiracOperator;
typedef LittleDiracOperator::CoarseVector CoarseVector;
NextToNearestStencilGeometry5D geom(Coarse5d);
std::cout<<GridLogMessage<<std::endl;
std::cout<<GridLogMessage<<"*******************************************"<<std::endl;
std::cout<<GridLogMessage<<std::endl;
PVdagMLinearOperator<DomainWallFermionD,LatticeFermionD> PVdagM(Ddwf,Dpv);
HermOpAdaptor<LatticeFermionD> HOA(PVdagM);
// Run power method on HOA??
PowerMethod<LatticeFermion> PM; PM(HOA,src);
// Warning: This routine calls PVdagM.Op, not PVdagM.HermOp
typedef Aggregation<vSpinColourVector,vTComplex,nbasis> Subspace;
Subspace AggregatesPD(Coarse5d,FGrid,cb);
AggregatesPD.CreateSubspaceChebyshev(RNG5,
HOA,
nbasis,
5000.0,
0.02,
100,
50,
50,
0.0);
LittleDiracOperator LittleDiracOpPV(geom,FGrid,Coarse5d);
LittleDiracOpPV.CoarsenOperator(PVdagM,AggregatesPD);
std::cout<<GridLogMessage<<std::endl;
std::cout<<GridLogMessage<<"*******************************************"<<std::endl;
std::cout<<GridLogMessage<<std::endl;
std::cout<<GridLogMessage<<"Testing coarsened operator "<<std::endl;
CoarseVector c_src (Coarse5d);
CoarseVector c_res (Coarse5d);
CoarseVector c_proj(Coarse5d);
std::vector<LatticeFermion> subspace(nbasis,FGrid);
subspace=AggregatesPD.subspace;
Complex one(1.0);
c_src = one; // 1 in every element for vector 1.
blockPromote(c_src,err,subspace);
prom=Zero();
for(int b=0;b<nbasis;b++){
prom=prom+subspace[b];
}
err=err-prom;
std::cout<<GridLogMessage<<"Promoted back from subspace: err "<<norm2(err)<<std::endl;
std::cout<<GridLogMessage<<"c_src "<<norm2(c_src)<<std::endl;
std::cout<<GridLogMessage<<"prom "<<norm2(prom)<<std::endl;
PVdagM.Op(prom,tmp);
blockProject(c_proj,tmp,subspace);
std::cout<<GridLogMessage<<" Called Big Dirac Op "<<norm2(tmp)<<std::endl;
LittleDiracOpPV.M(c_src,c_res);
std::cout<<GridLogMessage<<" Called Little Dirac Op c_src "<< norm2(c_src) << " c_res "<< norm2(c_res) <<std::endl;
std::cout<<GridLogMessage<<"Little dop : "<<norm2(c_res)<<std::endl;
// std::cout<<GridLogMessage<<" Little "<< c_res<<std::endl;
std::cout<<GridLogMessage<<"Big dop in subspace : "<<norm2(c_proj)<<std::endl;
// std::cout<<GridLogMessage<<" Big "<< c_proj<<std::endl;
c_proj = c_proj - c_res;
std::cout<<GridLogMessage<<" ldop error: "<<norm2(c_proj)<<std::endl;
// std::cout<<GridLogMessage<<" error "<< c_proj<<std::endl;
std::cout<<GridLogMessage<<std::endl;
std::cout<<GridLogMessage<<"*******************************************"<<std::endl;
std::cout<<GridLogMessage<<std::endl;
std::cout<<GridLogMessage << "Done "<< std::endl;
Grid_finalize();
return 0;
}