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9 Commits

Author SHA1 Message Date
09146cfc43 Profiling temporary code until optimised 2023-06-15 06:54:10 -04:00
a450e96827 Optional checkpoint smeared configs for FTHMC 2023-06-14 04:54:29 -04:00
0f3678b9be Additional tests 2023-06-13 11:57:11 -04:00
8dd8338e14 Hot start should be properly Hot 2023-06-13 11:56:37 -04:00
11e0dc9851 Ta project 2023-06-13 11:56:11 -04:00
f4ef6dae43 Keep methods virtual 2023-06-13 11:55:05 -04:00
b6e147372b Clean up 2023-06-13 11:54:11 -04:00
3a4a662dc6 Integrator over to smeared force structure 2023-06-13 11:53:38 -04:00
8d06bda6fb Smeared action virtual class 2023-06-13 11:49:09 -04:00
129 changed files with 1972 additions and 9532 deletions

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@ -66,10 +66,6 @@ if BUILD_FERMION_REPS
extra_sources+=$(ADJ_FERMION_FILES)
extra_sources+=$(TWOIND_FERMION_FILES)
endif
if BUILD_SP
extra_sources+=$(SP_FERMION_FILES)
extra_sources+=$(SP_TWOIND_FERMION_FILES)
endif
lib_LIBRARIES = libGrid.a

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

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@ -123,7 +123,7 @@ public:
};
template<class Fobj,class CComplex,int nbasis>
class Aggregation {
class Aggregation {
public:
typedef iVector<CComplex,nbasis > siteVector;
typedef Lattice<siteVector> CoarseVector;
@ -158,20 +158,7 @@ public:
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)
{
virtual void CreateSubspace(GridParallelRNG &RNG,LinearOperatorBase<FineField> &hermop,int nn=nbasis) {
RealD scale;
@ -230,11 +217,6 @@ public:
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;
@ -308,44 +290,6 @@ public:
}
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;
}
}
};

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@ -1,573 +0,0 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./lib/algorithms/GeneralCoarsenedMatrix.h
Copyright (C) 2015
Author: Peter Boyle <pboyle@bnl.gov>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/
/* END LEGAL */
#pragma once
#include <Grid/qcd/QCD.h> // needed for Dagger(Yes|No), Inverse(Yes|No)
#include <Grid/lattice/PaddedCell.h>
#include <Grid/stencil/GeneralLocalStencil.h>
NAMESPACE_BEGIN(Grid);
// 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;}
}
/////////////////////////////////////////////////////////////////
// Reuse Aggregation class from CoarsenedMatrix for now
// Might think about *smoothed* Aggregation
// 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();
};
};
// 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 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;
///////////////////////
// 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 << " 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;
ttot=-usecond();
conformable(CoarseGrid(),in.Grid());
conformable(in.Grid(),out.Grid());
out.Checkerboard() = in.Checkerboard();
CoarseVector tin=in;
texch-=usecond();
CoarseVector pin = Cell.Exchange(tin);
texch+=usecond();
CoarseVector pout(pin.Grid()); pout=Zero();
int npoint = geom.npoint;
typedef LatticeView<Cobj> Aview;
const int Nsimd = CComplex::Nsimd();
int osites=pin.Grid()->oSites();
// int gsites=pin.Grid()->gSites();
RealD flops = 1.0* npoint * nbasis * nbasis * 8 * osites;
RealD bytes = (1.0*osites*sizeof(siteMatrix)*npoint+2.0*osites*sizeof(siteVector))*npoint;
// for(int point=0;point<npoint;point++){
// conformable(A[point],pin);
// }
{
tviews-=usecond();
autoView( in_v , pin, AcceleratorRead);
autoView( out_v , pout, AcceleratorWrite);
autoView( Stencil_v , Stencil, AcceleratorRead);
tviews+=usecond();
for(int point=0;point<npoint;point++){
tviews-=usecond();
autoView( A_v, A[point],AcceleratorRead);
tviews+=usecond();
tmult-=usecond();
accelerator_for(sss, osites*nbasis, Nsimd, {
typedef decltype(coalescedRead(in_v[0])) calcVector;
int ss = sss/nbasis;
int b = sss%nbasis;
auto SE = Stencil_v.GetEntry(point,ss);
auto nbr = coalescedReadGeneralPermute(in_v[SE->_offset],SE->_permute,Nd);
auto res = out_v(ss)(b);
for(int bb=0;bb<nbasis;bb++) {
res = res + coalescedRead(A_v[ss](b,bb))*nbr(bb);
}
coalescedWrite(out_v[ss](b),res);
});
tmult+=usecond();
}
}
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 tot "<<ttot<<" us"<<std::endl;
std::cout << GridLogPerformance<<"Coarse Kernel "<< flops/tmult<<" mflop/s"<<std::endl;
std::cout << GridLogPerformance<<"Coarse Kernel "<< bytes/tmult<<" MB/s"<<std::endl;
std::cout << GridLogPerformance<<"Coarse flops/s "<< flops/ttot<<" mflop/s"<<std::endl;
std::cout << GridLogPerformance<<"Coarse 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
std::cout << GridLogMessage<<"ExchangeCoarseLinks "<<std::endl;
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++){
std::cout << "Exchange "<<p<<std::endl;
_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);

View File

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

View File

@ -33,6 +33,15 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
* Script A = SolverMatrix
* Script P = Preconditioner
*
* Deflation methods considered
* -- Solve P A x = P b [ like Luscher ]
* DEF-1 M P A x = M P b [i.e. left precon]
* DEF-2 P^T M A x = P^T M b
* ADEF-1 Preconditioner = M P + Q [ Q + M + M A Q]
* ADEF-2 Preconditioner = P^T M + Q
* BNN Preconditioner = P^T M P + Q
* BNN2 Preconditioner = M P + P^TM +Q - M P A M
*
* Implement ADEF-2
*
* Vstart = P^Tx + Qb
@ -40,245 +49,202 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
* M2=M3=1
* Vout = x
*/
NAMESPACE_BEGIN(Grid);
template<class Field>
class TwoLevelCG : public LinearFunction<Field>
// abstract base
template<class Field, class CoarseField>
class TwoLevelFlexiblePcg : public LinearFunction<Field>
{
public:
int verbose;
RealD Tolerance;
Integer MaxIterations;
const int mmax = 5;
GridBase *grid;
GridBase *coarsegrid;
// Fine operator, Smoother, CoarseSolver
LinearOperatorBase<Field> &_FineLinop;
LinearFunction<Field> &_Smoother;
LinearOperatorBase<Field> *_Linop
OperatorFunction<Field> *_Smoother,
LinearFunction<CoarseField> *_CoarseSolver;
// Need somthing that knows how to get from Coarse to fine and back again
// more most opertor functions
TwoLevelCG(RealD tol,
Integer maxit,
LinearOperatorBase<Field> &FineLinop,
LinearFunction<Field> &Smoother,
GridBase *fine) :
TwoLevelFlexiblePcg(RealD tol,
Integer maxit,
LinearOperatorBase<Field> *Linop,
LinearOperatorBase<Field> *SmootherLinop,
OperatorFunction<Field> *Smoother,
OperatorFunction<CoarseField> CoarseLinop
) :
Tolerance(tol),
MaxIterations(maxit),
_FineLinop(FineLinop),
_Smoother(Smoother)
{
grid = fine;
_Linop(Linop),
_PreconditionerLinop(PrecLinop),
_Preconditioner(Preconditioner)
{
verbose=0;
};
virtual void operator() (const Field &src, Field &psi)
{
Field resid(grid);
// The Pcg routine is common to all, but the various matrices differ from derived
// implementation to derived implmentation
void operator() (const Field &src, Field &psi){
void operator() (const Field &src, Field &psi){
psi.Checkerboard() = src.Checkerboard();
grid = src.Grid();
RealD f;
RealD rtzp,rtz,a,d,b;
RealD rptzp;
RealD tn;
RealD guess = norm2(psi);
RealD ssq = norm2(src);
RealD rsq = ssq*Tolerance*Tolerance;
Field x(grid);
Field p(grid);
Field z(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 tmp(grid);
Field mmp(grid);
Field r (grid);
Field mu (grid);
Field rp (grid);
//Initial residual computation & set up
RealD guess = norm2(psi);
double tn;
GridStopWatch HDCGTimer;
HDCGTimer.Start();
//////////////////////////
// x0 = Vstart -- possibly modify guess
//////////////////////////
x=Zero();
x=src;
Vstart(x,src);
// r0 = b -A x0
_FineLinop.HermOp(x,mmp);
axpy(r, -1.0, mmp, src); // Recomputes r=src-x0
rp=r;
HermOp(x,mmp); // Shouldn't this be something else?
axpy (r, -1.0,mmp[0], src); // Recomputes r=src-Ax0
//////////////////////////////////
// Compute z = M1 x
//////////////////////////////////
PcgM1(r,z);
M1(r,z,tmp,mp,SmootherMirs);
rtzp =real(innerProduct(r,z));
///////////////////////////////////////
// Except Def2, M2 is trivial
// Solve for Mss mu = P A z and set p = z-mu
// Def2: p = 1 - Q Az = Pright z
// Other algos M2 is trivial
///////////////////////////////////////
p=z;
M2(z,p[0]);
RealD ssq = norm2(src);
RealD rsq = ssq*Tolerance*Tolerance;
std::cout<<GridLogMessage<<"HDCG: k=0 residual "<<rtzp<<" target rsq "<<rsq<<" ssq "<<ssq<<std::endl;
for (int k=0;k<=MaxIterations;k++){
for (int k=1;k<=MaxIterations;k++){
int peri_k = k % mmax;
int peri_kp = (k+1) % mmax;
rtz=rtzp;
d= PcgM3(p,mmp);
d= M3(p[peri_k],mp,mmp[peri_k],tmp);
a = rtz/d;
// Memorise this
pAp[peri_k] = d;
axpy(x,a,p,x);
RealD rn = axpy_norm(r,-a,mmp,r);
axpy(x,a,p[peri_k],x);
RealD rn = axpy_norm(r,-a,mmp[peri_k],r);
PcgM1(r,z);
// Compute z = M x
M1(r,z,tmp,mp);
rtzp =real(innerProduct(r,z));
int ipcg=1; // almost free inexact preconditioned CG
if (ipcg) {
rptzp =real(innerProduct(rp,z));
} else {
rptzp =0;
M2(z,mu); // ADEF-2 this is identity. Axpy possible to eliminate
p[peri_kp]=p[peri_k];
// Standard search direction p -> z + b p ; b =
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 rtn=sqrt(rtz/ssq);
std::cout<<GridLogMessage<<"HDCG: Pcg k= "<<k<<" residual = "<<rrn<<std::endl;
if ( ipcg ) {
axpy(rp,0.0,r,r);
}
std::cout<<GridLogMessage<<"TwoLevelfPcg: k= "<<k<<" residual = "<<rrn<<std::endl;
// Stopping condition
if ( rn <= rsq ) {
HDCGTimer.Stop();
std::cout<<GridLogMessage<<"HDCG: Pcg converged in "<<k<<" iterations and "<<HDCGTimer.Elapsed()<<std::endl;;
_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 tmpnorm = sqrt(norm2(tmp));
RealD true_residual = tmpnorm/srcnorm;
std::cout<<GridLogMessage<<"HDCG: true residual is "<<true_residual
<<" solution "<<xnorm<<" source "<<srcnorm<<std::endl;
return;
HermOp(x,mmp); // Shouldn't this be something else?
axpy(tmp,-1.0,src,mmp[0]);
RealD psinorm = sqrt(norm2(x));
RealD srcnorm = sqrt(norm2(src));
RealD tmpnorm = sqrt(norm2(tmp));
RealD true_residual = tmpnorm/srcnorm;
std::cout<<GridLogMessage<<"TwoLevelfPcg: true residual is "<<true_residual<<std::endl;
std::cout<<GridLogMessage<<"TwoLevelfPcg: target residual was"<<Tolerance<<std::endl;
return k;
}
}
std::cout << "HDCG: Pcg not converged"<<std::endl;
return ;
// Non-convergence
assert(0);
}
public:
virtual void PcgM1(Field & in, Field & out) =0;
virtual void Vstart(Field & x,const Field & src)=0;
virtual void M(Field & in,Field & out,Field & tmp) {
virtual void PcgM2(const Field & in, Field & out) {
out=in;
}
virtual RealD PcgM3(const Field & p, Field & mmp){
RealD dd;
_FineLinop.HermOp(p,mmp);
ComplexD dot = innerProduct(p,mmp);
dd=real(dot);
return dd;
}
virtual void M1(Field & in, Field & out) {// the smoother
/////////////////////////////////////////////////////////////////////
// Only Def1 has non-trivial Vout.
/////////////////////////////////////////////////////////////////////
virtual void Vout (Field & in, Field & out,Field & src){
out = in;
}
};
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]
Field tmp(grid);
Field Min(grid);
Field tmp(this->grid);
Field Min(this->grid);
CoarseField PleftProj(this->coarsegrid);
CoarseField PleftMss_proj(this->coarsegrid);
PcgM(in,Min); // Smoother call
GridStopWatch SmootherTimer;
GridStopWatch MatrixTimer;
SmootherTimer.Start();
this->_Smoother(in,Min);
SmootherTimer.Stop();
MatrixTimer.Start();
this->_FineLinop.HermOp(Min,out);
MatrixTimer.Stop();
HermOp(Min,out);
axpy(tmp,-1.0,out,in); // tmp = in - A Min
GridStopWatch ProjTimer;
GridStopWatch CoarseTimer;
GridStopWatch PromTimer;
ProjTimer.Start();
this->_Aggregates.ProjectToSubspace(PleftProj,tmp);
ProjTimer.Stop();
CoarseTimer.Start();
this->_CoarseSolver(PleftProj,PleftMss_proj); // Ass^{-1} [in - A Min]_s
CoarseTimer.Stop();
PromTimer.Start();
this->_Aggregates.PromoteFromSubspace(PleftMss_proj,tmp);// tmp = Q[in - A Min]
PromTimer.Stop();
std::cout << GridLogPerformance << "PcgM1 breakdown "<<std::endl;
std::cout << GridLogPerformance << "\tSmoother " << SmootherTimer.Elapsed() <<std::endl;
std::cout << GridLogPerformance << "\tMatrix " << MatrixTimer.Elapsed() <<std::endl;
std::cout << GridLogPerformance << "\tProj " << ProjTimer.Elapsed() <<std::endl;
std::cout << GridLogPerformance << "\tCoarse " << CoarseTimer.Elapsed() <<std::endl;
std::cout << GridLogPerformance << "\tProm " << PromTimer.Elapsed() <<std::endl;
ProjectToSubspace(tmp,PleftProj);
ApplyInverse(PleftProj,PleftMss_proj); // Ass^{-1} [in - A Min]_s
PromoteFromSubspace(PleftMss_proj,tmp);// tmp = Q[in - A Min]
axpy(out,1.0,Min,tmp); // Min+tmp
}
virtual void Vstart(Field & x,const Field & src)
{
virtual void M2(const Field & in, Field & out) {
out=in;
// Must override for Def2 only
// case PcgDef2:
// Pright(in,out);
// break;
}
virtual RealD M3(const Field & p, Field & mmp){
double d,dd;
HermOpAndNorm(p,mmp,d,dd);
return dd;
// Must override for Def1 only
// case PcgDef1:
// d=linop_d->Mprec(p,mmp,tmp,0,1);// Dag no
// linop_d->Mprec(mmp,mp,tmp,1);// Dag yes
// Pleft(mp,mmp);
// d=real(linop_d->inner(p,mmp));
}
virtual void VstartDef2(Field & xconst Field & src){
//case PcgDef2:
//case PcgAdef2:
//case PcgAdef2f:
//case PcgV11f:
///////////////////////////////////
// Choose x_0 such that
// x_0 = guess + (A_ss^inv) r_s = guess + Ass_inv [src -Aguess]
@ -290,72 +256,142 @@ class TwoLevelADEF2 : public TwoLevelCG<Field>
// = src_s - (A guess)_s - src_s + (A guess)_s
// = 0
///////////////////////////////////
Field r(this->grid);
Field mmp(this->grid);
CoarseField PleftProj(this->coarsegrid);
CoarseField PleftMss_proj(this->coarsegrid);
this->_Aggregates.ProjectToSubspace(PleftProj,src);
this->_CoarseSolverPrecise(PleftProj,PleftMss_proj); // Ass^{-1} r_s
this->_Aggregates.PromoteFromSubspace(PleftMss_proj,x);
Field r(grid);
Field mmp(grid);
HermOp(x,mmp);
axpy (r, -1.0, mmp, src); // r_{-1} = src - A x
ProjectToSubspace(r,PleftProj);
ApplyInverseCG(PleftProj,PleftMss_proj); // Ass^{-1} r_s
PromoteFromSubspace(PleftMss_proj,mmp);
x=x+mmp;
}
};
virtual void Vstart(Field & x,const Field & src){
return;
}
/////////////////////////////////////////////////////////////////////
// Only Def1 has non-trivial Vout. Override in Def1
/////////////////////////////////////////////////////////////////////
virtual void Vout (Field & in, Field & out,Field & src){
out = in;
//case PcgDef1:
// //Qb + PT x
// ProjectToSubspace(src,PleftProj);
// ApplyInverse(PleftProj,PleftMss_proj); // Ass^{-1} r_s
// PromoteFromSubspace(PleftMss_proj,tmp);
//
// Pright(in,out);
//
// linop_d->axpy(out,tmp,out,1.0);
// break;
}
////////////////////////////////////////////////////////////////////////////////////////////////
// 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 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)
{};
class TwoLevelFlexiblePcgADef2 : public TwoLevelFlexiblePcg<Field> {
public:
virtual void M(Field & in,Field & out,Field & tmp){
// Can just inherit existing Vout
// Can just inherit existing M2
// Can just inherit existing M3
}
virtual void M1(Field & in, Field & out,Field & tmp,Field & mp){
// Simple vstart - do nothing
virtual void Vstart(Field & x,const Field & src){ x=src; };
// 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);
out = out + Qin;
}
};
virtual void M2(Field & in, Field & out){
NAMESPACE_END(Grid);
}
virtual RealD M3(Field & p, Field & mp,Field & mmp, Field & tmp){
}
virtual void Vstart(Field & in, Field & src, Field & r, Field & mp, Field & mmp, Field & tmp){
}
}
/*
template<class Field>
class TwoLevelFlexiblePcgAD : public TwoLevelFlexiblePcg<Field> {
public:
virtual void M(Field & in,Field & out,Field & tmp);
virtual void M1(Field & in, Field & out,Field & tmp,Field & mp);
virtual void M2(Field & in, Field & out);
virtual RealD M3(Field & p, Field & mp,Field & mmp, Field & tmp);
virtual void Vstart(Field & in, Field & src, Field & r, Field & mp, Field & mmp, Field & tmp);
}
template<class Field>
class TwoLevelFlexiblePcgDef1 : public TwoLevelFlexiblePcg<Field> {
public:
virtual void M(Field & in,Field & out,Field & tmp);
virtual void M1(Field & in, Field & out,Field & tmp,Field & mp);
virtual void M2(Field & in, Field & out);
virtual RealD M3(Field & p, Field & mp,Field & mmp, Field & tmp);
virtual void Vstart(Field & in, Field & src, Field & r, Field & mp, Field & mmp, Field & tmp);
virtual void Vout (Field & in, Field & out,Field & src,Field & tmp);
}
template<class Field>
class TwoLevelFlexiblePcgDef2 : public TwoLevelFlexiblePcg<Field> {
public:
virtual void M(Field & in,Field & out,Field & tmp);
virtual void M1(Field & in, Field & out,Field & tmp,Field & mp);
virtual void M2(Field & in, Field & out);
virtual RealD M3(Field & p, Field & mp,Field & mmp, Field & tmp);
virtual void Vstart(Field & in, Field & src, Field & r, Field & mp, Field & mmp, Field & tmp);
}
template<class Field>
class TwoLevelFlexiblePcgV11: public TwoLevelFlexiblePcg<Field> {
public:
virtual void M(Field & in,Field & out,Field & tmp);
virtual void M1(Field & in, Field & out,Field & tmp,Field & mp);
virtual void M2(Field & in, Field & out);
virtual RealD M3(Field & p, Field & mp,Field & mmp, Field & tmp);
virtual void Vstart(Field & in, Field & src, Field & r, Field & mp, Field & mmp, Field & tmp);
}
*/
#endif

View File

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

View File

@ -419,15 +419,14 @@ until convergence
}
}
if ( Nconv < Nstop ) {
if ( Nconv < Nstop )
std::cout << GridLogIRL << "Nconv ("<<Nconv<<") < Nstop ("<<Nstop<<")"<<std::endl;
std::cout << GridLogIRL << "returning Nstop vectors, the last "<< Nstop-Nconv << "of which might meet convergence criterion only approximately" <<std::endl;
}
eval=eval2;
//Keep only converged
eval.resize(Nstop);// was Nconv
evec.resize(Nstop,grid);// was Nconv
eval.resize(Nconv);// Nstop?
evec.resize(Nconv,grid);// Nstop?
basisSortInPlace(evec,eval,reverse);
}
@ -465,7 +464,7 @@ until convergence
Field& evec_k = evec[k];
_PolyOp(evec_k,w); std::cout<<GridLogDebug << "PolyOp" <<std::endl;
_PolyOp(evec_k,w); std::cout<<GridLogIRL << "PolyOp" <<std::endl;
if(k>0) w -= lme[k-1] * evec[k-1];
@ -480,9 +479,9 @@ until convergence
lme[k] = beta;
if ( (k>0) && ( (k % orth_period) == 0 )) {
std::cout<<GridLogDebug << "Orthogonalising " <<k<<std::endl;
std::cout<<GridLogIRL << "Orthogonalising " <<k<<std::endl;
orthogonalize(w,evec,k); // orthonormalise
std::cout<<GridLogDebug << "Orthogonalised " <<k<<std::endl;
std::cout<<GridLogIRL << "Orthogonalised " <<k<<std::endl;
}
if(k < Nm-1) evec[k+1] = w;
@ -491,7 +490,7 @@ until convergence
if ( beta < tiny )
std::cout<<GridLogIRL << " beta is tiny "<<beta<<std::endl;
std::cout<<GridLogDebug << "Lanczos step complete " <<k<<std::endl;
std::cout<<GridLogIRL << "Lanczos step complete " <<k<<std::endl;
}
void diagonalize_Eigen(std::vector<RealD>& lmd, std::vector<RealD>& lme,

View File

@ -33,7 +33,7 @@ NAMESPACE_BEGIN(Grid);
///////////////////////////////////////////////////////////////////////////////////////////////////////
// Take a matrix and form an NE solver calling a Herm solver
///////////////////////////////////////////////////////////////////////////////////////////////////////
template<class Field> class NormalEquations : public LinearFunction<Field>{
template<class Field> class NormalEquations {
private:
SparseMatrixBase<Field> & _Matrix;
OperatorFunction<Field> & _HermitianSolver;
@ -60,7 +60,7 @@ public:
}
};
template<class Field> class HPDSolver : public LinearFunction<Field> {
template<class Field> class HPDSolver {
private:
LinearOperatorBase<Field> & _Matrix;
OperatorFunction<Field> & _HermitianSolver;
@ -84,7 +84,7 @@ public:
};
template<class Field> class MdagMSolver : public LinearFunction<Field> {
template<class Field> class MdagMSolver {
private:
SparseMatrixBase<Field> & _Matrix;
OperatorFunction<Field> & _HermitianSolver;

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

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@ -1,262 +0,0 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./lib/algorithms/Aggregates.h
Copyright (C) 2015
Author: Azusa Yamaguchi <ayamaguc@staffmail.ed.ac.uk>
Author: Peter Boyle <paboyle@ph.ed.ac.uk>
Author: Peter Boyle <peterboyle@Peters-MacBook-Pro-2.local>
Author: paboyle <paboyle@ph.ed.ac.uk>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/
/* END LEGAL */
#pragma once
NAMESPACE_BEGIN(Grid);
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

@ -1,814 +0,0 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./lib/algorithms/CoarsenedMatrix.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 */
#ifndef GRID_ALGORITHM_COARSENED_MATRIX_H
#define GRID_ALGORITHM_COARSENED_MATRIX_H
#include <Grid/qcd/QCD.h> // needed for Dagger(Yes|No), Inverse(Yes|No)
NAMESPACE_BEGIN(Grid);
template<class vobj,class CComplex>
inline void blockMaskedInnerProduct(Lattice<CComplex> &CoarseInner,
const Lattice<decltype(innerProduct(vobj(),vobj()))> &FineMask,
const Lattice<vobj> &fineX,
const Lattice<vobj> &fineY)
{
typedef decltype(innerProduct(vobj(),vobj())) dotp;
GridBase *coarse(CoarseInner.Grid());
GridBase *fine (fineX.Grid());
Lattice<dotp> fine_inner(fine); fine_inner.Checkerboard() = fineX.Checkerboard();
Lattice<dotp> fine_inner_msk(fine);
// Multiply could be fused with innerProduct
// Single block sum kernel could do both masks.
fine_inner = localInnerProduct(fineX,fineY);
mult(fine_inner_msk, fine_inner,FineMask);
blockSum(CoarseInner,fine_inner_msk);
}
// Fine Object == (per site) type of fine field
// nbasis == number of deflation vectors
template<class Fobj,class CComplex,int nbasis>
class CoarsenedMatrix : public CheckerBoardedSparseMatrixBase<Lattice<iVector<CComplex,nbasis > > > {
public:
typedef iVector<CComplex,nbasis > siteVector;
typedef Lattice<CComplex > CoarseComplexField;
typedef Lattice<siteVector> CoarseVector;
typedef Lattice<iMatrix<CComplex,nbasis > > CoarseMatrix;
typedef iMatrix<CComplex,nbasis > Cobj;
typedef Lattice< CComplex > CoarseScalar; // used for inner products on fine field
typedef Lattice<Fobj > FineField;
typedef CoarseVector FermionField;
// enrich interface, use default implementation as in FermionOperator ///////
void Dminus(CoarseVector const& in, CoarseVector& out) { out = in; }
void DminusDag(CoarseVector const& in, CoarseVector& out) { out = in; }
void ImportPhysicalFermionSource(CoarseVector const& input, CoarseVector& imported) { imported = input; }
void ImportUnphysicalFermion(CoarseVector const& input, CoarseVector& imported) { imported = input; }
void ExportPhysicalFermionSolution(CoarseVector const& solution, CoarseVector& exported) { exported = solution; };
void ExportPhysicalFermionSource(CoarseVector const& solution, CoarseVector& exported) { exported = solution; };
////////////////////
// Data members
////////////////////
Geometry geom;
GridBase * _grid;
GridBase* _cbgrid;
int hermitian;
CartesianStencil<siteVector,siteVector,DefaultImplParams> Stencil;
CartesianStencil<siteVector,siteVector,DefaultImplParams> StencilEven;
CartesianStencil<siteVector,siteVector,DefaultImplParams> StencilOdd;
std::vector<CoarseMatrix> A;
std::vector<CoarseMatrix> Aeven;
std::vector<CoarseMatrix> Aodd;
CoarseMatrix AselfInv;
CoarseMatrix AselfInvEven;
CoarseMatrix AselfInvOdd;
Vector<RealD> dag_factor;
///////////////////////
// Interface
///////////////////////
GridBase * Grid(void) { return _grid; }; // this is all the linalg routines need to know
GridBase * RedBlackGrid() { return _cbgrid; };
int ConstEE() { return 0; }
void M (const CoarseVector &in, CoarseVector &out)
{
conformable(_grid,in.Grid());
conformable(in.Grid(),out.Grid());
out.Checkerboard() = in.Checkerboard();
SimpleCompressor<siteVector> compressor;
Stencil.HaloExchange(in,compressor);
autoView( in_v , in, AcceleratorRead);
autoView( out_v , out, AcceleratorWrite);
autoView( Stencil_v , Stencil, AcceleratorRead);
int npoint = geom.npoint;
typedef LatticeView<Cobj> Aview;
Vector<Aview> AcceleratorViewContainer;
for(int p=0;p<geom.npoint;p++) AcceleratorViewContainer.push_back(A[p].View(AcceleratorRead));
Aview *Aview_p = & AcceleratorViewContainer[0];
const int Nsimd = CComplex::Nsimd();
typedef decltype(coalescedRead(in_v[0])) calcVector;
typedef decltype(coalescedRead(in_v[0](0))) calcComplex;
int osites=Grid()->oSites();
accelerator_for(sss, Grid()->oSites()*nbasis, Nsimd, {
int ss = sss/nbasis;
int b = sss%nbasis;
calcComplex res = Zero();
calcVector nbr;
int ptype;
StencilEntry *SE;
for(int point=0;point<npoint;point++){
SE=Stencil_v.GetEntry(ptype,point,ss);
if(SE->_is_local) {
nbr = coalescedReadPermute(in_v[SE->_offset],ptype,SE->_permute);
} else {
nbr = coalescedRead(Stencil_v.CommBuf()[SE->_offset]);
}
acceleratorSynchronise();
for(int bb=0;bb<nbasis;bb++) {
res = res + coalescedRead(Aview_p[point][ss](b,bb))*nbr(bb);
}
}
coalescedWrite(out_v[ss](b),res);
});
for(int p=0;p<geom.npoint;p++) AcceleratorViewContainer[p].ViewClose();
};
void Mdag (const CoarseVector &in, CoarseVector &out)
{
if(hermitian) {
// corresponds to Petrov-Galerkin coarsening
return M(in,out);
} else {
// corresponds to Galerkin coarsening
return MdagNonHermitian(in, out);
}
};
void MdagNonHermitian(const CoarseVector &in, CoarseVector &out)
{
conformable(_grid,in.Grid());
conformable(in.Grid(),out.Grid());
out.Checkerboard() = in.Checkerboard();
SimpleCompressor<siteVector> compressor;
Stencil.HaloExchange(in,compressor);
autoView( in_v , in, AcceleratorRead);
autoView( out_v , out, AcceleratorWrite);
autoView( Stencil_v , Stencil, AcceleratorRead);
int npoint = geom.npoint;
typedef LatticeView<Cobj> Aview;
Vector<Aview> AcceleratorViewContainer;
for(int p=0;p<geom.npoint;p++) AcceleratorViewContainer.push_back(A[p].View(AcceleratorRead));
Aview *Aview_p = & AcceleratorViewContainer[0];
const int Nsimd = CComplex::Nsimd();
typedef decltype(coalescedRead(in_v[0])) calcVector;
typedef decltype(coalescedRead(in_v[0](0))) calcComplex;
int osites=Grid()->oSites();
Vector<int> points(geom.npoint, 0);
for(int p=0; p<geom.npoint; p++)
points[p] = geom.points_dagger[p];
auto points_p = &points[0];
RealD* dag_factor_p = &dag_factor[0];
accelerator_for(sss, Grid()->oSites()*nbasis, Nsimd, {
int ss = sss/nbasis;
int b = sss%nbasis;
calcComplex res = Zero();
calcVector nbr;
int ptype;
StencilEntry *SE;
for(int p=0;p<npoint;p++){
int point = points_p[p];
SE=Stencil_v.GetEntry(ptype,point,ss);
if(SE->_is_local) {
nbr = coalescedReadPermute(in_v[SE->_offset],ptype,SE->_permute);
} else {
nbr = coalescedRead(Stencil_v.CommBuf()[SE->_offset]);
}
acceleratorSynchronise();
for(int bb=0;bb<nbasis;bb++) {
res = res + dag_factor_p[b*nbasis+bb]*coalescedRead(Aview_p[point][ss](b,bb))*nbr(bb);
}
}
coalescedWrite(out_v[ss](b),res);
});
for(int p=0;p<geom.npoint;p++) AcceleratorViewContainer[p].ViewClose();
}
void MdirComms(const CoarseVector &in)
{
SimpleCompressor<siteVector> compressor;
Stencil.HaloExchange(in,compressor);
}
void MdirCalc(const CoarseVector &in, CoarseVector &out, int point)
{
conformable(_grid,in.Grid());
conformable(_grid,out.Grid());
out.Checkerboard() = in.Checkerboard();
typedef LatticeView<Cobj> Aview;
Vector<Aview> AcceleratorViewContainer;
for(int p=0;p<geom.npoint;p++) AcceleratorViewContainer.push_back(A[p].View(AcceleratorRead));
Aview *Aview_p = & AcceleratorViewContainer[0];
autoView( out_v , out, AcceleratorWrite);
autoView( in_v , in, AcceleratorRead);
autoView( Stencil_v , Stencil, AcceleratorRead);
const int Nsimd = CComplex::Nsimd();
typedef decltype(coalescedRead(in_v[0])) calcVector;
typedef decltype(coalescedRead(in_v[0](0))) calcComplex;
accelerator_for(sss, Grid()->oSites()*nbasis, Nsimd, {
int ss = sss/nbasis;
int b = sss%nbasis;
calcComplex res = Zero();
calcVector nbr;
int ptype;
StencilEntry *SE;
SE=Stencil_v.GetEntry(ptype,point,ss);
if(SE->_is_local) {
nbr = coalescedReadPermute(in_v[SE->_offset],ptype,SE->_permute);
} else {
nbr = coalescedRead(Stencil_v.CommBuf()[SE->_offset]);
}
acceleratorSynchronise();
for(int bb=0;bb<nbasis;bb++) {
res = res + coalescedRead(Aview_p[point][ss](b,bb))*nbr(bb);
}
coalescedWrite(out_v[ss](b),res);
});
for(int p=0;p<geom.npoint;p++) AcceleratorViewContainer[p].ViewClose();
}
void MdirAll(const CoarseVector &in,std::vector<CoarseVector> &out)
{
this->MdirComms(in);
int ndir=geom.npoint-1;
if ((out.size()!=ndir)&&(out.size()!=ndir+1)) {
std::cout <<"MdirAll out size "<< out.size()<<std::endl;
std::cout <<"MdirAll ndir "<< ndir<<std::endl;
assert(0);
}
for(int p=0;p<ndir;p++){
MdirCalc(in,out[p],p);
}
};
void Mdir(const CoarseVector &in, CoarseVector &out, int dir, int disp){
this->MdirComms(in);
MdirCalc(in,out,geom.point(dir,disp));
};
void Mdiag(const CoarseVector &in, CoarseVector &out)
{
int point=geom.npoint-1;
MdirCalc(in, out, point); // No comms
};
void Mooee(const CoarseVector &in, CoarseVector &out) {
MooeeInternal(in, out, DaggerNo, InverseNo);
}
void MooeeInv(const CoarseVector &in, CoarseVector &out) {
MooeeInternal(in, out, DaggerNo, InverseYes);
}
void MooeeDag(const CoarseVector &in, CoarseVector &out) {
MooeeInternal(in, out, DaggerYes, InverseNo);
}
void MooeeInvDag(const CoarseVector &in, CoarseVector &out) {
MooeeInternal(in, out, DaggerYes, InverseYes);
}
void Meooe(const CoarseVector &in, CoarseVector &out) {
if(in.Checkerboard() == Odd) {
DhopEO(in, out, DaggerNo);
} else {
DhopOE(in, out, DaggerNo);
}
}
void MeooeDag(const CoarseVector &in, CoarseVector &out) {
if(in.Checkerboard() == Odd) {
DhopEO(in, out, DaggerYes);
} else {
DhopOE(in, out, DaggerYes);
}
}
void Dhop(const CoarseVector &in, CoarseVector &out, int dag) {
conformable(in.Grid(), _grid); // verifies full grid
conformable(in.Grid(), out.Grid());
out.Checkerboard() = in.Checkerboard();
DhopInternal(Stencil, A, in, out, dag);
}
void DhopOE(const CoarseVector &in, CoarseVector &out, int dag) {
conformable(in.Grid(), _cbgrid); // verifies half grid
conformable(in.Grid(), out.Grid()); // drops the cb check
assert(in.Checkerboard() == Even);
out.Checkerboard() = Odd;
DhopInternal(StencilEven, Aodd, in, out, dag);
}
void DhopEO(const CoarseVector &in, CoarseVector &out, int dag) {
conformable(in.Grid(), _cbgrid); // verifies half grid
conformable(in.Grid(), out.Grid()); // drops the cb check
assert(in.Checkerboard() == Odd);
out.Checkerboard() = Even;
DhopInternal(StencilOdd, Aeven, in, out, dag);
}
void MooeeInternal(const CoarseVector &in, CoarseVector &out, int dag, int inv) {
out.Checkerboard() = in.Checkerboard();
assert(in.Checkerboard() == Odd || in.Checkerboard() == Even);
CoarseMatrix *Aself = nullptr;
if(in.Grid()->_isCheckerBoarded) {
if(in.Checkerboard() == Odd) {
Aself = (inv) ? &AselfInvOdd : &Aodd[geom.npoint-1];
DselfInternal(StencilOdd, *Aself, in, out, dag);
} else {
Aself = (inv) ? &AselfInvEven : &Aeven[geom.npoint-1];
DselfInternal(StencilEven, *Aself, in, out, dag);
}
} else {
Aself = (inv) ? &AselfInv : &A[geom.npoint-1];
DselfInternal(Stencil, *Aself, in, out, dag);
}
assert(Aself != nullptr);
}
void DselfInternal(CartesianStencil<siteVector,siteVector,DefaultImplParams> &st, CoarseMatrix &a,
const CoarseVector &in, CoarseVector &out, int dag) {
int point = geom.npoint-1;
autoView( out_v, out, AcceleratorWrite);
autoView( in_v, in, AcceleratorRead);
autoView( st_v, st, AcceleratorRead);
autoView( a_v, a, AcceleratorRead);
const int Nsimd = CComplex::Nsimd();
typedef decltype(coalescedRead(in_v[0])) calcVector;
typedef decltype(coalescedRead(in_v[0](0))) calcComplex;
RealD* dag_factor_p = &dag_factor[0];
if(dag) {
accelerator_for(sss, in.Grid()->oSites()*nbasis, Nsimd, {
int ss = sss/nbasis;
int b = sss%nbasis;
calcComplex res = Zero();
calcVector nbr;
int ptype;
StencilEntry *SE;
SE=st_v.GetEntry(ptype,point,ss);
if(SE->_is_local) {
nbr = coalescedReadPermute(in_v[SE->_offset],ptype,SE->_permute);
} else {
nbr = coalescedRead(st_v.CommBuf()[SE->_offset]);
}
acceleratorSynchronise();
for(int bb=0;bb<nbasis;bb++) {
res = res + dag_factor_p[b*nbasis+bb]*coalescedRead(a_v[ss](b,bb))*nbr(bb);
}
coalescedWrite(out_v[ss](b),res);
});
} else {
accelerator_for(sss, in.Grid()->oSites()*nbasis, Nsimd, {
int ss = sss/nbasis;
int b = sss%nbasis;
calcComplex res = Zero();
calcVector nbr;
int ptype;
StencilEntry *SE;
SE=st_v.GetEntry(ptype,point,ss);
if(SE->_is_local) {
nbr = coalescedReadPermute(in_v[SE->_offset],ptype,SE->_permute);
} else {
nbr = coalescedRead(st_v.CommBuf()[SE->_offset]);
}
acceleratorSynchronise();
for(int bb=0;bb<nbasis;bb++) {
res = res + coalescedRead(a_v[ss](b,bb))*nbr(bb);
}
coalescedWrite(out_v[ss](b),res);
});
}
}
void DhopInternal(CartesianStencil<siteVector,siteVector,DefaultImplParams> &st, std::vector<CoarseMatrix> &a,
const CoarseVector &in, CoarseVector &out, int dag) {
SimpleCompressor<siteVector> compressor;
st.HaloExchange(in,compressor);
autoView( in_v, in, AcceleratorRead);
autoView( out_v, out, AcceleratorWrite);
autoView( st_v , st, AcceleratorRead);
typedef LatticeView<Cobj> Aview;
// determine in what order we need the points
int npoint = geom.npoint-1;
Vector<int> points(npoint, 0);
for(int p=0; p<npoint; p++)
points[p] = (dag && !hermitian) ? geom.points_dagger[p] : p;
auto points_p = &points[0];
Vector<Aview> AcceleratorViewContainer;
for(int p=0;p<npoint;p++) AcceleratorViewContainer.push_back(a[p].View(AcceleratorRead));
Aview *Aview_p = & AcceleratorViewContainer[0];
const int Nsimd = CComplex::Nsimd();
typedef decltype(coalescedRead(in_v[0])) calcVector;
typedef decltype(coalescedRead(in_v[0](0))) calcComplex;
RealD* dag_factor_p = &dag_factor[0];
if(dag) {
accelerator_for(sss, in.Grid()->oSites()*nbasis, Nsimd, {
int ss = sss/nbasis;
int b = sss%nbasis;
calcComplex res = Zero();
calcVector nbr;
int ptype;
StencilEntry *SE;
for(int p=0;p<npoint;p++){
int point = points_p[p];
SE=st_v.GetEntry(ptype,point,ss);
if(SE->_is_local) {
nbr = coalescedReadPermute(in_v[SE->_offset],ptype,SE->_permute);
} else {
nbr = coalescedRead(st_v.CommBuf()[SE->_offset]);
}
acceleratorSynchronise();
for(int bb=0;bb<nbasis;bb++) {
res = res + dag_factor_p[b*nbasis+bb]*coalescedRead(Aview_p[point][ss](b,bb))*nbr(bb);
}
}
coalescedWrite(out_v[ss](b),res);
});
} else {
accelerator_for(sss, in.Grid()->oSites()*nbasis, Nsimd, {
int ss = sss/nbasis;
int b = sss%nbasis;
calcComplex res = Zero();
calcVector nbr;
int ptype;
StencilEntry *SE;
for(int p=0;p<npoint;p++){
int point = points_p[p];
SE=st_v.GetEntry(ptype,point,ss);
if(SE->_is_local) {
nbr = coalescedReadPermute(in_v[SE->_offset],ptype,SE->_permute);
} else {
nbr = coalescedRead(st_v.CommBuf()[SE->_offset]);
}
acceleratorSynchronise();
for(int bb=0;bb<nbasis;bb++) {
res = res + coalescedRead(Aview_p[point][ss](b,bb))*nbr(bb);
}
}
coalescedWrite(out_v[ss](b),res);
});
}
for(int p=0;p<npoint;p++) AcceleratorViewContainer[p].ViewClose();
}
CoarsenedMatrix(GridCartesian &CoarseGrid, int hermitian_=0) :
_grid(&CoarseGrid),
_cbgrid(new GridRedBlackCartesian(&CoarseGrid)),
geom(CoarseGrid._ndimension),
hermitian(hermitian_),
Stencil(&CoarseGrid,geom.npoint,Even,geom.directions,geom.displacements),
StencilEven(_cbgrid,geom.npoint,Even,geom.directions,geom.displacements),
StencilOdd(_cbgrid,geom.npoint,Odd,geom.directions,geom.displacements),
A(geom.npoint,&CoarseGrid),
Aeven(geom.npoint,_cbgrid),
Aodd(geom.npoint,_cbgrid),
AselfInv(&CoarseGrid),
AselfInvEven(_cbgrid),
AselfInvOdd(_cbgrid),
dag_factor(nbasis*nbasis)
{
fillFactor();
};
CoarsenedMatrix(GridCartesian &CoarseGrid, GridRedBlackCartesian &CoarseRBGrid, int hermitian_=0) :
_grid(&CoarseGrid),
_cbgrid(&CoarseRBGrid),
geom(CoarseGrid._ndimension),
hermitian(hermitian_),
Stencil(&CoarseGrid,geom.npoint,Even,geom.directions,geom.displacements),
StencilEven(&CoarseRBGrid,geom.npoint,Even,geom.directions,geom.displacements),
StencilOdd(&CoarseRBGrid,geom.npoint,Odd,geom.directions,geom.displacements),
A(geom.npoint,&CoarseGrid),
Aeven(geom.npoint,&CoarseRBGrid),
Aodd(geom.npoint,&CoarseRBGrid),
AselfInv(&CoarseGrid),
AselfInvEven(&CoarseRBGrid),
AselfInvOdd(&CoarseRBGrid),
dag_factor(nbasis*nbasis)
{
fillFactor();
};
void fillFactor() {
Eigen::MatrixXd dag_factor_eigen = Eigen::MatrixXd::Ones(nbasis, nbasis);
if(!hermitian) {
const int nb = nbasis/2;
dag_factor_eigen.block(0,nb,nb,nb) *= -1.0;
dag_factor_eigen.block(nb,0,nb,nb) *= -1.0;
}
// GPU readable prefactor
thread_for(i, nbasis*nbasis, {
int j = i/nbasis;
int k = i%nbasis;
dag_factor[i] = dag_factor_eigen(j, k);
});
}
void CoarsenOperator(GridBase *FineGrid,LinearOperatorBase<Lattice<Fobj> > &linop,
Aggregation<Fobj,CComplex,nbasis> & Subspace)
{
typedef Lattice<typename Fobj::tensor_reduced> FineComplexField;
typedef typename Fobj::scalar_type scalar_type;
std::cout << GridLogMessage<< "CoarsenMatrix "<< std::endl;
FineComplexField one(FineGrid); one=scalar_type(1.0,0.0);
FineComplexField zero(FineGrid); zero=scalar_type(0.0,0.0);
std::vector<FineComplexField> masks(geom.npoint,FineGrid);
FineComplexField imask(FineGrid); // contributions from within this block
FineComplexField omask(FineGrid); // contributions from outwith this block
FineComplexField evenmask(FineGrid);
FineComplexField oddmask(FineGrid);
FineField phi(FineGrid);
FineField tmp(FineGrid);
FineField zz(FineGrid); zz=Zero();
FineField Mphi(FineGrid);
FineField Mphie(FineGrid);
FineField Mphio(FineGrid);
std::vector<FineField> Mphi_p(geom.npoint,FineGrid);
Lattice<iScalar<vInteger> > coor (FineGrid);
Lattice<iScalar<vInteger> > bcoor(FineGrid);
Lattice<iScalar<vInteger> > bcb (FineGrid); bcb = Zero();
CoarseVector iProj(Grid());
CoarseVector oProj(Grid());
CoarseVector SelfProj(Grid());
CoarseComplexField iZProj(Grid());
CoarseComplexField oZProj(Grid());
CoarseScalar InnerProd(Grid());
std::cout << GridLogMessage<< "CoarsenMatrix Orthog "<< std::endl;
// Orthogonalise the subblocks over the basis
blockOrthogonalise(InnerProd,Subspace.subspace);
// Compute the matrix elements of linop between this orthonormal
// set of vectors.
std::cout << GridLogMessage<< "CoarsenMatrix masks "<< std::endl;
int self_stencil=-1;
for(int p=0;p<geom.npoint;p++)
{
int dir = geom.directions[p];
int disp = geom.displacements[p];
A[p]=Zero();
if( geom.displacements[p]==0){
self_stencil=p;
}
Integer block=(FineGrid->_rdimensions[dir])/(Grid()->_rdimensions[dir]);
LatticeCoordinate(coor,dir);
///////////////////////////////////////////////////////
// Work out even and odd block checkerboarding for fast diagonal term
///////////////////////////////////////////////////////
if ( disp==1 ) {
bcb = bcb + div(coor,block);
}
if ( disp==0 ) {
masks[p]= Zero();
} else if ( disp==1 ) {
masks[p] = where(mod(coor,block)==(block-1),one,zero);
} else if ( disp==-1 ) {
masks[p] = where(mod(coor,block)==(Integer)0,one,zero);
}
}
evenmask = where(mod(bcb,2)==(Integer)0,one,zero);
oddmask = one-evenmask;
assert(self_stencil!=-1);
for(int i=0;i<nbasis;i++){
phi=Subspace.subspace[i];
std::cout << GridLogMessage<< "CoarsenMatrix vector "<<i << std::endl;
linop.OpDirAll(phi,Mphi_p);
linop.OpDiag (phi,Mphi_p[geom.npoint-1]);
for(int p=0;p<geom.npoint;p++){
Mphi = Mphi_p[p];
int dir = geom.directions[p];
int disp = geom.displacements[p];
if ( (disp==-1) || (!hermitian ) ) {
////////////////////////////////////////////////////////////////////////
// Pick out contributions coming from this cell and neighbour cell
////////////////////////////////////////////////////////////////////////
omask = masks[p];
imask = one-omask;
for(int j=0;j<nbasis;j++){
blockMaskedInnerProduct(oZProj,omask,Subspace.subspace[j],Mphi);
autoView( iZProj_v , iZProj, AcceleratorRead) ;
autoView( oZProj_v , oZProj, AcceleratorRead) ;
autoView( A_p , A[p], AcceleratorWrite);
autoView( A_self , A[self_stencil], AcceleratorWrite);
accelerator_for(ss, Grid()->oSites(), Fobj::Nsimd(),{ coalescedWrite(A_p[ss](j,i),oZProj_v(ss)); });
if ( hermitian && (disp==-1) ) {
for(int pp=0;pp<geom.npoint;pp++){// Find the opposite link and set <j|A|i> = <i|A|j>*
int dirp = geom.directions[pp];
int dispp = geom.displacements[pp];
if ( (dirp==dir) && (dispp==1) ){
auto sft = conjugate(Cshift(oZProj,dir,1));
autoView( sft_v , sft , AcceleratorWrite);
autoView( A_pp , A[pp], AcceleratorWrite);
accelerator_for(ss, Grid()->oSites(), Fobj::Nsimd(),{ coalescedWrite(A_pp[ss](i,j),sft_v(ss)); });
}
}
}
}
}
}
///////////////////////////////////////////
// Faster alternate self coupling.. use hermiticity to save 2x
///////////////////////////////////////////
{
mult(tmp,phi,evenmask); linop.Op(tmp,Mphie);
mult(tmp,phi,oddmask ); linop.Op(tmp,Mphio);
{
autoView( tmp_ , tmp, AcceleratorWrite);
autoView( evenmask_ , evenmask, AcceleratorRead);
autoView( oddmask_ , oddmask, AcceleratorRead);
autoView( Mphie_ , Mphie, AcceleratorRead);
autoView( Mphio_ , Mphio, AcceleratorRead);
accelerator_for(ss, FineGrid->oSites(), Fobj::Nsimd(),{
coalescedWrite(tmp_[ss],evenmask_(ss)*Mphie_(ss) + oddmask_(ss)*Mphio_(ss));
});
}
blockProject(SelfProj,tmp,Subspace.subspace);
autoView( SelfProj_ , SelfProj, AcceleratorRead);
autoView( A_self , A[self_stencil], AcceleratorWrite);
accelerator_for(ss, Grid()->oSites(), Fobj::Nsimd(),{
for(int j=0;j<nbasis;j++){
coalescedWrite(A_self[ss](j,i), SelfProj_(ss)(j));
}
});
}
}
if(hermitian) {
std::cout << GridLogMessage << " ForceHermitian, new code "<<std::endl;
}
InvertSelfStencilLink(); std::cout << GridLogMessage << "Coarse self link inverted" << std::endl;
FillHalfCbs(); std::cout << GridLogMessage << "Coarse half checkerboards filled" << std::endl;
}
void InvertSelfStencilLink() {
std::cout << GridLogDebug << "CoarsenedMatrix::InvertSelfStencilLink" << std::endl;
int localVolume = Grid()->lSites();
typedef typename Cobj::scalar_object scalar_object;
autoView(Aself_v, A[geom.npoint-1], CpuRead);
autoView(AselfInv_v, AselfInv, CpuWrite);
thread_for(site, localVolume, { // NOTE: Not able to bring this to GPU because of Eigen + peek/poke
Eigen::MatrixXcd selfLinkEigen = Eigen::MatrixXcd::Zero(nbasis, nbasis);
Eigen::MatrixXcd selfLinkInvEigen = Eigen::MatrixXcd::Zero(nbasis, nbasis);
scalar_object selfLink = Zero();
scalar_object selfLinkInv = Zero();
Coordinate lcoor;
Grid()->LocalIndexToLocalCoor(site, lcoor);
peekLocalSite(selfLink, Aself_v, lcoor);
for (int i = 0; i < nbasis; ++i)
for (int j = 0; j < nbasis; ++j)
selfLinkEigen(i, j) = static_cast<ComplexD>(TensorRemove(selfLink(i, j)));
selfLinkInvEigen = selfLinkEigen.inverse();
for(int i = 0; i < nbasis; ++i)
for(int j = 0; j < nbasis; ++j)
selfLinkInv(i, j) = selfLinkInvEigen(i, j);
pokeLocalSite(selfLinkInv, AselfInv_v, lcoor);
});
}
void FillHalfCbs() {
std::cout << GridLogDebug << "CoarsenedMatrix::FillHalfCbs" << std::endl;
for(int p = 0; p < geom.npoint; ++p) {
pickCheckerboard(Even, Aeven[p], A[p]);
pickCheckerboard(Odd, Aodd[p], A[p]);
}
pickCheckerboard(Even, AselfInvEven, AselfInv);
pickCheckerboard(Odd, AselfInvOdd, AselfInv);
}
};
NAMESPACE_END(Grid);
#endif

View File

@ -1,418 +0,0 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./lib/algorithms/GeneralCoarsenedMatrix.h
Copyright (C) 2015
Author: Peter Boyle <pboyle@bnl.gov>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/
/* END LEGAL */
#pragma once
#include <Grid/qcd/QCD.h> // needed for Dagger(Yes|No), Inverse(Yes|No)
#include <Grid/lattice/PaddedCell.h>
#include <Grid/stencil/GeneralLocalStencil.h>
NAMESPACE_BEGIN(Grid);
// Fine Object == (per site) type of fine field
// nbasis == number of deflation vectors
template<class Fobj,class CComplex,int nbasis>
class GeneralCoarsenedMatrix : public SparseMatrixBase<Lattice<iVector<CComplex,nbasis > > > {
public:
typedef GeneralCoarsenedMatrix<Fobj,CComplex,nbasis> GeneralCoarseOp;
typedef iVector<CComplex,nbasis > siteVector;
typedef iMatrix<CComplex,nbasis > siteMatrix;
typedef Lattice<iScalar<CComplex> > CoarseComplexField;
typedef Lattice<siteVector> CoarseVector;
typedef Lattice<iMatrix<CComplex,nbasis > > CoarseMatrix;
typedef iMatrix<CComplex,nbasis > Cobj;
typedef 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;
///////////////////////
// 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;
ttot=-usecond();
conformable(CoarseGrid(),in.Grid());
conformable(in.Grid(),out.Grid());
out.Checkerboard() = in.Checkerboard();
CoarseVector tin=in;
texch-=usecond();
CoarseVector pin = Cell.Exchange(tin);
texch+=usecond();
CoarseVector pout(pin.Grid()); pout=Zero();
int npoint = geom.npoint;
typedef LatticeView<Cobj> Aview;
const int Nsimd = CComplex::Nsimd();
int osites=pin.Grid()->oSites();
// int gsites=pin.Grid()->gSites();
RealD flops = 1.0* npoint * nbasis * nbasis * 8 * osites;
RealD bytes = (1.0*osites*sizeof(siteMatrix)*npoint+2.0*osites*sizeof(siteVector))*npoint;
// for(int point=0;point<npoint;point++){
// conformable(A[point],pin);
// }
{
tviews-=usecond();
autoView( in_v , pin, AcceleratorRead);
autoView( out_v , pout, AcceleratorWrite);
autoView( Stencil_v , Stencil, AcceleratorRead);
tviews+=usecond();
for(int point=0;point<npoint;point++){
tviews-=usecond();
autoView( A_v, A[point],AcceleratorRead);
tviews+=usecond();
tmult-=usecond();
accelerator_for(sss, osites*nbasis, Nsimd, {
typedef decltype(coalescedRead(in_v[0])) calcVector;
int ss = sss/nbasis;
int b = sss%nbasis;
auto SE = Stencil_v.GetEntry(point,ss);
auto nbr = coalescedReadGeneralPermute(in_v[SE->_offset],SE->_permute,Nd);
auto res = out_v(ss)(b);
for(int bb=0;bb<nbasis;bb++) {
res = res + coalescedRead(A_v[ss](b,bb))*nbr(bb);
}
coalescedWrite(out_v[ss](b),res);
});
tmult+=usecond();
}
}
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 tot "<<ttot<<" us"<<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);

View File

@ -1,243 +0,0 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./lib/algorithms/GeneralCoarsenedMatrix.h
Copyright (C) 2015
Author: Peter Boyle <pboyle@bnl.gov>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution directory
*************************************************************************************/
/* END LEGAL */
#pragma once
NAMESPACE_BEGIN(Grid);
/////////////////////////////////////////////////////////////////
// Geometry class in cartesian case
/////////////////////////////////////////////////////////////////
class Geometry {
public:
int npoint;
int base;
std::vector<int> directions ;
std::vector<int> displacements;
std::vector<int> points_dagger;
Geometry(int _d) {
base = (_d==5) ? 1:0;
// make coarse grid stencil for 4d , not 5d
if ( _d==5 ) _d=4;
npoint = 2*_d+1;
directions.resize(npoint);
displacements.resize(npoint);
points_dagger.resize(npoint);
for(int d=0;d<_d;d++){
directions[d ] = d+base;
directions[d+_d] = d+base;
displacements[d ] = +1;
displacements[d+_d]= -1;
points_dagger[d ] = d+_d;
points_dagger[d+_d] = d;
}
directions [2*_d]=0;
displacements[2*_d]=0;
points_dagger[2*_d]=2*_d;
}
int point(int dir, int disp) {
assert(disp == -1 || disp == 0 || disp == 1);
assert(base+0 <= dir && dir < base+4);
// directions faster index = new indexing
// 4d (base = 0):
// point 0 1 2 3 4 5 6 7 8
// dir 0 1 2 3 0 1 2 3 0
// disp +1 +1 +1 +1 -1 -1 -1 -1 0
// 5d (base = 1):
// point 0 1 2 3 4 5 6 7 8
// dir 1 2 3 4 1 2 3 4 0
// disp +1 +1 +1 +1 -1 -1 -1 -1 0
// displacements faster index = old indexing
// 4d (base = 0):
// point 0 1 2 3 4 5 6 7 8
// dir 0 0 1 1 2 2 3 3 0
// disp +1 -1 +1 -1 +1 -1 +1 -1 0
// 5d (base = 1):
// point 0 1 2 3 4 5 6 7 8
// dir 1 1 2 2 3 3 4 4 0
// disp +1 -1 +1 -1 +1 -1 +1 -1 0
if(dir == 0 and disp == 0)
return 8;
else // New indexing
return (1 - disp) / 2 * 4 + dir - base;
// else // Old indexing
// return (4 * (dir - base) + 1 - disp) / 2;
}
};
/////////////////////////////////////////////////////////////////
// Less local equivalent of Geometry class in cartesian case
/////////////////////////////////////////////////////////////////
class NonLocalStencilGeometry {
public:
int depth;
int 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

@ -1,33 +0,0 @@
/*************************************************************************************
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

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

View File

@ -604,8 +604,8 @@ void GlobalSharedMemory::SharedMemoryAllocate(uint64_t bytes, int flags)
#ifdef GRID_SYCL_LEVEL_ZERO_IPC
typedef struct { int fd; pid_t pid ; ze_ipc_mem_handle_t ze; } clone_mem_t;
auto zeDevice = cl::sycl::get_native<cl::sycl::backend::ext_oneapi_level_zero>(theGridAccelerator->get_device());
auto zeContext = cl::sycl::get_native<cl::sycl::backend::ext_oneapi_level_zero>(theGridAccelerator->get_context());
auto zeDevice = cl::sycl::get_native<cl::sycl::backend::level_zero>(theGridAccelerator->get_device());
auto zeContext = cl::sycl::get_native<cl::sycl::backend::level_zero>(theGridAccelerator->get_context());
ze_ipc_mem_handle_t ihandle;
clone_mem_t handle;

View File

@ -47,4 +47,3 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
#include <Grid/lattice/Lattice_transfer.h>
#include <Grid/lattice/Lattice_basis.h>
#include <Grid/lattice/Lattice_crc.h>
#include <Grid/lattice/PaddedCell.h>

View File

@ -345,9 +345,7 @@ GridUnopClass(UnaryNot, Not(a));
GridUnopClass(UnaryTrace, trace(a));
GridUnopClass(UnaryTranspose, transpose(a));
GridUnopClass(UnaryTa, Ta(a));
GridUnopClass(UnarySpTa, SpTa(a));
GridUnopClass(UnaryProjectOnGroup, ProjectOnGroup(a));
GridUnopClass(UnaryProjectOnSpGroup, ProjectOnSpGroup(a));
GridUnopClass(UnaryTimesI, timesI(a));
GridUnopClass(UnaryTimesMinusI, timesMinusI(a));
GridUnopClass(UnaryAbs, abs(a));
@ -458,9 +456,7 @@ GRID_DEF_UNOP(operator!, UnaryNot);
GRID_DEF_UNOP(trace, UnaryTrace);
GRID_DEF_UNOP(transpose, UnaryTranspose);
GRID_DEF_UNOP(Ta, UnaryTa);
GRID_DEF_UNOP(SpTa, UnarySpTa);
GRID_DEF_UNOP(ProjectOnGroup, UnaryProjectOnGroup);
GRID_DEF_UNOP(ProjectOnSpGroup, UnaryProjectOnSpGroup);
GRID_DEF_UNOP(timesI, UnaryTimesI);
GRID_DEF_UNOP(timesMinusI, UnaryTimesMinusI);
GRID_DEF_UNOP(abs, UnaryAbs); // abs overloaded in cmath C++98; DON'T do the

View File

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

View File

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

View File

@ -66,65 +66,6 @@ inline auto TraceIndex(const Lattice<vobj> &lhs) -> Lattice<decltype(traceIndex<
return ret;
};
template<int N, class Vec>
Lattice<iScalar<iScalar<iScalar<Vec> > > > Determinant(const Lattice<iScalar<iScalar<iMatrix<Vec, N> > > > &Umu)
{
GridBase *grid=Umu.Grid();
auto lvol = grid->lSites();
Lattice<iScalar<iScalar<iScalar<Vec> > > > ret(grid);
typedef typename Vec::scalar_type scalar;
autoView(Umu_v,Umu,CpuRead);
autoView(ret_v,ret,CpuWrite);
thread_for(site,lvol,{
Eigen::MatrixXcd EigenU = Eigen::MatrixXcd::Zero(N,N);
Coordinate lcoor;
grid->LocalIndexToLocalCoor(site, lcoor);
iScalar<iScalar<iMatrix<scalar, N> > > Us;
peekLocalSite(Us, Umu_v, lcoor);
for(int i=0;i<N;i++){
for(int j=0;j<N;j++){
scalar tmp= Us()()(i,j);
ComplexD ztmp(real(tmp),imag(tmp));
EigenU(i,j)=ztmp;
}}
ComplexD detD = EigenU.determinant();
typename Vec::scalar_type det(detD.real(),detD.imag());
pokeLocalSite(det,ret_v,lcoor);
});
return ret;
}
template<int N>
Lattice<iScalar<iScalar<iMatrix<vComplexD, N> > > > Inverse(const Lattice<iScalar<iScalar<iMatrix<vComplexD, N> > > > &Umu)
{
GridBase *grid=Umu.Grid();
auto lvol = grid->lSites();
Lattice<iScalar<iScalar<iMatrix<vComplexD, N> > > > ret(grid);
autoView(Umu_v,Umu,CpuRead);
autoView(ret_v,ret,CpuWrite);
thread_for(site,lvol,{
Eigen::MatrixXcd EigenU = Eigen::MatrixXcd::Zero(N,N);
Coordinate lcoor;
grid->LocalIndexToLocalCoor(site, lcoor);
iScalar<iScalar<iMatrix<ComplexD, N> > > Us;
iScalar<iScalar<iMatrix<ComplexD, N> > > Ui;
peekLocalSite(Us, Umu_v, lcoor);
for(int i=0;i<N;i++){
for(int j=0;j<N;j++){
EigenU(i,j) = Us()()(i,j);
}}
Eigen::MatrixXcd EigenUinv = EigenU.inverse();
for(int i=0;i<N;i++){
for(int j=0;j<N;j++){
Ui()()(i,j) = EigenUinv(i,j);
}}
pokeLocalSite(Ui,ret_v,lcoor);
});
return ret;
}
NAMESPACE_END(Grid);
#endif

View File

@ -471,13 +471,13 @@ inline void blockSum(Lattice<vobj> &coarseData,const Lattice<vobj> &fineData)
vobj zz = Zero();
accelerator_for(sc,coarse->oSites(),vobj::Nsimd(),{
accelerator_for(sc,coarse->oSites(),1,{
// One thread per sub block
Coordinate coor_c(_ndimension);
Lexicographic::CoorFromIndex(coor_c,sc,coarse_rdimensions); // Block coordinate
auto cd = coalescedRead(zz);
vobj cd = zz;
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];
Lexicographic::IndexFromCoor(coor_f,sf,fine_rdimensions);
cd=cd+coalescedRead(fineData_p[sf]);
cd=cd+fineData_p[sf];
}
coalescedWrite(coarseData_p[sc],cd);
coarseData_p[sc] = cd;
});
return;
@ -697,68 +697,8 @@ void localCopyRegion(const Lattice<vobj> &From,Lattice<vobj> & To,Coordinate Fro
for(int d=0;d<nd;d++){
assert(Fg->_processors[d] == Tg->_processors[d]);
}
// the above should guarantee that the operations are local
#if 1
size_t nsite = 1;
for(int i=0;i<nd;i++) nsite *= RegionSize[i];
size_t tbytes = 4*nsite*sizeof(int);
int *table = (int*)malloc(tbytes);
thread_for(idx, nsite, {
Coordinate from_coor, to_coor;
size_t rem = idx;
for(int i=0;i<nd;i++){
size_t base_i = rem % RegionSize[i]; rem /= RegionSize[i];
from_coor[i] = base_i + FromLowerLeft[i];
to_coor[i] = base_i + ToLowerLeft[i];
}
int foidx = Fg->oIndex(from_coor);
int fiidx = Fg->iIndex(from_coor);
int toidx = Tg->oIndex(to_coor);
int tiidx = Tg->iIndex(to_coor);
int* tt = table + 4*idx;
tt[0] = foidx;
tt[1] = fiidx;
tt[2] = toidx;
tt[3] = tiidx;
});
int* table_d = (int*)acceleratorAllocDevice(tbytes);
acceleratorCopyToDevice(table,table_d,tbytes);
typedef typename vobj::vector_type vector_type;
typedef typename vobj::scalar_type scalar_type;
autoView(from_v,From,AcceleratorRead);
autoView(to_v,To,AcceleratorWrite);
accelerator_for(idx,nsite,1,{
static const int words=sizeof(vobj)/sizeof(vector_type);
int* tt = table_d + 4*idx;
int from_oidx = *tt++;
int from_lane = *tt++;
int to_oidx = *tt++;
int to_lane = *tt;
const vector_type* from = (const vector_type *)&from_v[from_oidx];
vector_type* to = (vector_type *)&to_v[to_oidx];
scalar_type stmp;
for(int w=0;w<words;w++){
stmp = getlane(from[w], from_lane);
putlane(to[w], stmp, to_lane);
}
});
acceleratorFreeDevice(table_d);
free(table);
#else
Coordinate ldf = Fg->_ldimensions;
Coordinate rdf = Fg->_rdimensions;
Coordinate isf = Fg->_istride;
@ -798,8 +738,6 @@ void localCopyRegion(const Lattice<vobj> &From,Lattice<vobj> & To,Coordinate Fro
#endif
}
});
#endif
}
@ -892,8 +830,6 @@ void ExtractSlice(Lattice<vobj> &lowDim,const Lattice<vobj> & higherDim,int slic
}
//Insert subvolume orthogonal to direction 'orthog' with slice index 'slice_lo' from 'lowDim' onto slice index 'slice_hi' of higherDim
//The local dimensions of both 'lowDim' and 'higherDim' orthogonal to 'orthog' should be the same
template<class vobj>
void InsertSliceLocal(const Lattice<vobj> &lowDim, Lattice<vobj> & higherDim,int slice_lo,int slice_hi, int orthog)
{
@ -915,65 +851,6 @@ void InsertSliceLocal(const Lattice<vobj> &lowDim, Lattice<vobj> & higherDim,int
}
}
#if 1
size_t nsite = lg->lSites()/lg->LocalDimensions()[orthog];
size_t tbytes = 4*nsite*sizeof(int);
int *table = (int*)malloc(tbytes);
thread_for(idx,nsite,{
Coordinate lcoor(nl);
Coordinate hcoor(nh);
lcoor[orthog] = slice_lo;
hcoor[orthog] = slice_hi;
size_t rem = idx;
for(int mu=0;mu<nl;mu++){
if(mu != orthog){
int xmu = rem % lg->LocalDimensions()[mu]; rem /= lg->LocalDimensions()[mu];
lcoor[mu] = hcoor[mu] = xmu;
}
}
int loidx = lg->oIndex(lcoor);
int liidx = lg->iIndex(lcoor);
int hoidx = hg->oIndex(hcoor);
int hiidx = hg->iIndex(hcoor);
int* tt = table + 4*idx;
tt[0] = loidx;
tt[1] = liidx;
tt[2] = hoidx;
tt[3] = hiidx;
});
int* table_d = (int*)acceleratorAllocDevice(tbytes);
acceleratorCopyToDevice(table,table_d,tbytes);
typedef typename vobj::vector_type vector_type;
typedef typename vobj::scalar_type scalar_type;
autoView(lowDim_v,lowDim,AcceleratorRead);
autoView(higherDim_v,higherDim,AcceleratorWrite);
accelerator_for(idx,nsite,1,{
static const int words=sizeof(vobj)/sizeof(vector_type);
int* tt = table_d + 4*idx;
int from_oidx = *tt++;
int from_lane = *tt++;
int to_oidx = *tt++;
int to_lane = *tt;
const vector_type* from = (const vector_type *)&lowDim_v[from_oidx];
vector_type* to = (vector_type *)&higherDim_v[to_oidx];
scalar_type stmp;
for(int w=0;w<words;w++){
stmp = getlane(from[w], from_lane);
putlane(to[w], stmp, to_lane);
}
});
acceleratorFreeDevice(table_d);
free(table);
#else
// the above should guarantee that the operations are local
autoView(lowDimv,lowDim,CpuRead);
autoView(higherDimv,higherDim,CpuWrite);
@ -989,7 +866,6 @@ void InsertSliceLocal(const Lattice<vobj> &lowDim, Lattice<vobj> & higherDim,int
pokeLocalSite(s,higherDimv,hcoor);
}
});
#endif
}
@ -1054,7 +930,7 @@ void Replicate(const Lattice<vobj> &coarse,Lattice<vobj> & fine)
Coordinate fcoor(nd);
Coordinate ccoor(nd);
for(int64_t g=0;g<fg->gSites();g++){
for(int g=0;g<fg->gSites();g++){
fg->GlobalIndexToGlobalCoor(g,fcoor);
for(int d=0;d<nd;d++){

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@ -26,32 +26,14 @@ Author: Peter Boyle pboyle@bnl.gov
/* END LEGAL */
#pragma once
#include<Grid/cshift/Cshift.h>
NAMESPACE_BEGIN(Grid);
//Allow the user to specify how the C-shift is performed, e.g. to respect the appropriate boundary conditions
template<typename vobj>
struct CshiftImplBase{
virtual Lattice<vobj> Cshift(const Lattice<vobj> &in, int dir, int shift) const = 0;
virtual ~CshiftImplBase(){}
};
template<typename vobj>
struct CshiftImplDefault: public CshiftImplBase<vobj>{
Lattice<vobj> Cshift(const Lattice<vobj> &in, int dir, int shift) const override{ return Grid::Cshift(in,dir,shift); }
};
template<typename Gimpl>
struct CshiftImplGauge: public CshiftImplBase<typename Gimpl::GaugeLinkField::vector_object>{
typename Gimpl::GaugeLinkField Cshift(const typename Gimpl::GaugeLinkField &in, int dir, int shift) const override{ return Gimpl::CshiftLink(in,dir,shift); }
};
class PaddedCell {
public:
GridCartesian * unpadded_grid;
int dims;
int depth;
std::vector<GridCartesian *> grids;
~PaddedCell()
{
DeleteGrids();
@ -63,9 +45,8 @@ public:
dims=_grid->Nd();
AllocateGrids();
Coordinate local =unpadded_grid->LocalDimensions();
Coordinate procs =unpadded_grid->ProcessorGrid();
for(int d=0;d<dims;d++){
if ( procs[d] > 1 ) assert(local[d]>=depth);
assert(local[d]>=depth);
}
}
void DeleteGrids(void)
@ -86,10 +67,8 @@ public:
// expand up one dim at a time
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++){
global[d] = plocal[d]*processors[d];
}
@ -98,38 +77,31 @@ public:
}
};
template<class vobj>
inline Lattice<vobj> Extract(const Lattice<vobj> &in) const
inline Lattice<vobj> Extract(Lattice<vobj> &in)
{
Coordinate processors=unpadded_grid->_processors;
Lattice<vobj> out(unpadded_grid);
Coordinate local =unpadded_grid->LocalDimensions();
// depends on the MPI spread
Coordinate fll(dims,depth);
Coordinate fll(dims,depth); // depends on the MPI spread
Coordinate tll(dims,0); // depends on the MPI spread
for(int d=0;d<dims;d++){
if( processors[d]==1 ) fll[d]=0;
}
localCopyRegion(in,out,fll,tll,local);
return out;
}
template<class vobj>
inline Lattice<vobj> Exchange(const Lattice<vobj> &in, const CshiftImplBase<vobj> &cshift = CshiftImplDefault<vobj>()) const
inline Lattice<vobj> Exchange(Lattice<vobj> &in)
{
GridBase *old_grid = in.Grid();
int dims = old_grid->Nd();
Lattice<vobj> tmp = in;
for(int d=0;d<dims;d++){
tmp = Expand(d,tmp,cshift); // rvalue && assignment
tmp = Expand(d,tmp); // rvalue && assignment
}
return tmp;
}
// expand up one dim at a time
template<class vobj>
inline Lattice<vobj> Expand(int dim, const Lattice<vobj> &in, const CshiftImplBase<vobj> &cshift = CshiftImplDefault<vobj>()) const
inline Lattice<vobj> Expand(int dim,Lattice<vobj> &in)
{
Coordinate processors=unpadded_grid->_processors;
GridBase *old_grid = in.Grid();
GridCartesian *new_grid = grids[dim];//These are new grids
Lattice<vobj> padded(new_grid);
@ -140,52 +112,20 @@ public:
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 ) {
double t = usecond();
for(int x=0;x<local[dim];x++){
InsertSliceLocal(in,padded,x,x,dim);
}
tins += usecond() - t;
} else {
// Middle bit
double t = usecond();
for(int x=0;x<local[dim];x++){
InsertSliceLocal(in,padded,x,depth+x,dim);
}
tins += usecond() - t;
// High bit
t = usecond();
shifted = cshift.Cshift(in,dim,depth);
tshift += usecond() - t;
t=usecond();
for(int x=0;x<depth;x++){
InsertSliceLocal(shifted,padded,local[dim]-depth+x,depth+local[dim]+x,dim);
}
tins += usecond() - t;
// Low bit
t = usecond();
shifted = cshift.Cshift(in,dim,-depth);
tshift += usecond() - t;
t = usecond();
for(int x=0;x<depth;x++){
InsertSliceLocal(shifted,padded,x,x,dim);
}
tins += usecond() - t;
// Middle bit
for(int x=0;x<local[dim];x++){
InsertSliceLocal(in,padded,x,depth+x,dim);
}
// High bit
shifted = Cshift(in,dim,depth);
for(int x=0;x<depth;x++){
InsertSliceLocal(shifted,padded,local[dim]-depth+x,depth+local[dim]+x,dim);
}
// Low bit
shifted = Cshift(in,dim,-depth);
for(int x=0;x<depth;x++){
InsertSliceLocal(shifted,padded,x,x,dim);
}
std::cout << GridLogPerformance << "PaddedCell::Expand timings: cshift:" << tshift/1000 << "ms, insert-slice:" << tins/1000 << "ms" << std::endl;
return padded;
}

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@ -126,16 +126,6 @@ typedef WilsonFermion<WilsonTwoIndexSymmetricImplD> WilsonTwoIndexSymmetricFermi
typedef WilsonFermion<WilsonTwoIndexAntiSymmetricImplF> WilsonTwoIndexAntiSymmetricFermionF;
typedef WilsonFermion<WilsonTwoIndexAntiSymmetricImplD> WilsonTwoIndexAntiSymmetricFermionD;
// Sp(2n)
typedef WilsonFermion<SpWilsonImplF> SpWilsonFermionF;
typedef WilsonFermion<SpWilsonImplD> SpWilsonFermionD;
typedef WilsonFermion<SpWilsonTwoIndexAntiSymmetricImplF> SpWilsonTwoIndexAntiSymmetricFermionF;
typedef WilsonFermion<SpWilsonTwoIndexAntiSymmetricImplD> SpWilsonTwoIndexAntiSymmetricFermionD;
typedef WilsonFermion<SpWilsonTwoIndexSymmetricImplF> SpWilsonTwoIndexSymmetricFermionF;
typedef WilsonFermion<SpWilsonTwoIndexSymmetricImplD> SpWilsonTwoIndexSymmetricFermionD;
// Twisted mass fermion
typedef WilsonTMFermion<WilsonImplD2> WilsonTMFermionD2;
typedef WilsonTMFermion<WilsonImplF> WilsonTMFermionF;

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@ -261,22 +261,6 @@ typedef WilsonImpl<vComplex, TwoIndexAntiSymmetricRepresentation, CoeffReal > W
typedef WilsonImpl<vComplexF, TwoIndexAntiSymmetricRepresentation, CoeffReal > WilsonTwoIndexAntiSymmetricImplF; // Float
typedef WilsonImpl<vComplexD, TwoIndexAntiSymmetricRepresentation, CoeffReal > WilsonTwoIndexAntiSymmetricImplD; // Double
//sp 2n
typedef WilsonImpl<vComplex, SpFundamentalRepresentation, CoeffReal > SpWilsonImplR; // Real.. whichever prec
typedef WilsonImpl<vComplexF, SpFundamentalRepresentation, CoeffReal > SpWilsonImplF; // Float
typedef WilsonImpl<vComplexD, SpFundamentalRepresentation, CoeffReal > SpWilsonImplD; // Double
typedef WilsonImpl<vComplex, SpTwoIndexAntiSymmetricRepresentation, CoeffReal > SpWilsonTwoIndexAntiSymmetricImplR; // Real.. whichever prec
typedef WilsonImpl<vComplexF, SpTwoIndexAntiSymmetricRepresentation, CoeffReal > SpWilsonTwoIndexAntiSymmetricImplF; // Float
typedef WilsonImpl<vComplexD, SpTwoIndexAntiSymmetricRepresentation, CoeffReal > SpWilsonTwoIndexAntiSymmetricImplD; // Double
typedef WilsonImpl<vComplex, SpTwoIndexSymmetricRepresentation, CoeffReal > SpWilsonTwoIndexSymmetricImplR; // Real.. whichever prec
typedef WilsonImpl<vComplexF, SpTwoIndexSymmetricRepresentation, CoeffReal > SpWilsonTwoIndexSymmetricImplF; // Float
typedef WilsonImpl<vComplexD, SpTwoIndexSymmetricRepresentation, CoeffReal > SpWilsonTwoIndexSymmetricImplD; // Double
typedef WilsonImpl<vComplex, SpTwoIndexSymmetricRepresentation, CoeffReal > SpWilsonAdjImplR; // Real.. whichever prec // adj = 2indx symmetric for Sp(2N)
typedef WilsonImpl<vComplexF, SpTwoIndexSymmetricRepresentation, CoeffReal > SpWilsonAdjImplF; // Float // adj = 2indx symmetric for Sp(2N)
typedef WilsonImpl<vComplexD, SpTwoIndexSymmetricRepresentation, CoeffReal > SpWilsonAdjImplD; // Double // adj = 2indx symmetric for Sp(2N)
NAMESPACE_END(Grid);

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@ -423,6 +423,7 @@ void WilsonKernels<Impl>::DhopDirKernel( StencilImpl &st, DoubledGaugeField &U,S
#define KERNEL_CALL(A) KERNEL_CALLNB(A); accelerator_barrier();
#define KERNEL_CALL_EXT(A) \
const uint64_t NN = Nsite*Ls; \
const uint64_t sz = st.surface_list.size(); \
auto ptr = &st.surface_list[0]; \
accelerator_forNB( ss, sz, Simd::Nsimd(), { \

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@ -1 +0,0 @@
../WilsonCloverFermionInstantiation.cc.master

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@ -1 +0,0 @@
../WilsonFermionInstantiation.cc.master

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@ -1 +0,0 @@
../WilsonKernelsInstantiation.cc.master

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@ -1 +0,0 @@
../WilsonTMFermionInstantiation.cc.master

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@ -1 +0,0 @@
#define IMPLEMENTATION SpWilsonImplD

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@ -1 +0,0 @@
../WilsonCloverFermionInstantiation.cc.master

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@ -1 +0,0 @@
../WilsonFermionInstantiation.cc.master

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@ -1 +0,0 @@
../WilsonKernelsInstantiation.cc.master

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@ -1 +0,0 @@
../WilsonTMFermionInstantiation.cc.master

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@ -1 +0,0 @@
#define IMPLEMENTATION SpWilsonImplF

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@ -1 +0,0 @@
#define IMPLEMENTATION SpWilsonTwoIndexAntiSymmetricImplD

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@ -1 +0,0 @@
#define IMPLEMENTATION SpWilsonTwoIndexAntiSymmetricImplF

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@ -1 +0,0 @@
#define IMPLEMENTATION SpWilsonTwoIndexSymmetricImplD

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@ -1 +0,0 @@
#define IMPLEMENTATION SpWilsonTwoIndexSymmetricImplF

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@ -10,18 +10,12 @@ WILSON_IMPL_LIST=" \
WilsonImplF \
WilsonImplD \
WilsonImplD2 \
SpWilsonImplF \
SpWilsonImplD \
WilsonAdjImplF \
WilsonAdjImplD \
WilsonTwoIndexSymmetricImplF \
WilsonTwoIndexSymmetricImplD \
WilsonTwoIndexAntiSymmetricImplF \
WilsonTwoIndexAntiSymmetricImplD \
SpWilsonTwoIndexAntiSymmetricImplF \
SpWilsonTwoIndexAntiSymmetricImplD \
SpWilsonTwoIndexSymmetricImplF \
SpWilsonTwoIndexSymmetricImplD \
GparityWilsonImplF \
GparityWilsonImplD "

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@ -39,9 +39,6 @@ NAMESPACE_BEGIN(Grid);
typedef WilsonGaugeAction<PeriodicGimplR> WilsonGaugeActionR;
typedef WilsonGaugeAction<PeriodicGimplF> WilsonGaugeActionF;
typedef WilsonGaugeAction<PeriodicGimplD> WilsonGaugeActionD;
typedef WilsonGaugeAction<SpPeriodicGimplR> SpWilsonGaugeActionR;
typedef WilsonGaugeAction<SpPeriodicGimplF> SpWilsonGaugeActionF;
typedef WilsonGaugeAction<SpPeriodicGimplD> SpWilsonGaugeActionD;
typedef PlaqPlusRectangleAction<PeriodicGimplR> PlaqPlusRectangleActionR;
typedef PlaqPlusRectangleAction<PeriodicGimplF> PlaqPlusRectangleActionF;
typedef PlaqPlusRectangleAction<PeriodicGimplD> PlaqPlusRectangleActionD;

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@ -61,7 +61,7 @@ NAMESPACE_BEGIN(Grid);
typedef typename Impl::Field Field;
// hardcodes the exponential approximation in the template
template <class S, int Nrepresentation = Nc, int Nexp = 12, class Group = SU<Nc> > class GaugeImplTypes {
template <class S, int Nrepresentation = Nc, int Nexp = 12 > class GaugeImplTypes {
public:
typedef S Simd;
typedef typename Simd::scalar_type scalar_type;
@ -78,6 +78,8 @@ public:
typedef Lattice<SiteLink> LinkField;
typedef Lattice<SiteField> Field;
typedef SU<Nrepresentation> Group;
// Guido: we can probably separate the types from the HMC functions
// this will create 2 kind of implementations
// probably confusing the users
@ -117,7 +119,6 @@ public:
//
LinkField Pmu(P.Grid());
Pmu = Zero();
for (int mu = 0; mu < Nd; mu++) {
Group::GaussianFundamentalLieAlgebraMatrix(pRNG, Pmu);
RealD scale = ::sqrt(HMC_MOMENTUM_DENOMINATOR) ;
@ -125,12 +126,8 @@ public:
PokeIndex<LorentzIndex>(P, Pmu, mu);
}
}
static inline Field projectForce(Field &P) {
Field ret(P.Grid());
Group::taProj(P, ret);
return ret;
}
static inline Field projectForce(Field &P) { return Ta(P); }
static inline void update_field(Field& P, Field& U, double ep){
//static std::chrono::duration<double> diff;
@ -140,15 +137,14 @@ public:
autoView(P_v,P,AcceleratorRead);
accelerator_for(ss, P.Grid()->oSites(),1,{
for (int mu = 0; mu < Nd; mu++) {
U_v[ss](mu) = Exponentiate(P_v[ss](mu), ep, Nexp) * U_v[ss](mu);
U_v[ss](mu) = Group::ProjectOnGeneralGroup(U_v[ss](mu));
U_v[ss](mu) = ProjectOnGroup(Exponentiate(P_v[ss](mu), ep, Nexp) * U_v[ss](mu));
}
});
//auto end = std::chrono::high_resolution_clock::now();
// diff += end - start;
// std::cout << "Time to exponentiate matrix " << diff.count() << " s\n";
}
static inline RealD FieldSquareNorm(Field& U){
LatticeComplex Hloc(U.Grid());
Hloc = Zero();
@ -161,7 +157,7 @@ public:
}
static inline void Project(Field &U) {
Group::ProjectOnSpecialGroup(U);
ProjectSUn(U);
}
static inline void HotConfiguration(GridParallelRNG &pRNG, Field &U) {
@ -175,7 +171,6 @@ public:
static inline void ColdConfiguration(GridParallelRNG &pRNG, Field &U) {
Group::ColdConfiguration(pRNG, U);
}
};
@ -183,17 +178,10 @@ typedef GaugeImplTypes<vComplex, Nc> GimplTypesR;
typedef GaugeImplTypes<vComplexF, Nc> GimplTypesF;
typedef GaugeImplTypes<vComplexD, Nc> GimplTypesD;
typedef GaugeImplTypes<vComplex, Nc, 12, Sp<Nc> > SpGimplTypesR;
typedef GaugeImplTypes<vComplexF, Nc, 12, Sp<Nc> > SpGimplTypesF;
typedef GaugeImplTypes<vComplexD, Nc, 12, Sp<Nc> > SpGimplTypesD;
typedef GaugeImplTypes<vComplex, SU<Nc>::AdjointDimension> GimplAdjointTypesR;
typedef GaugeImplTypes<vComplexF, SU<Nc>::AdjointDimension> GimplAdjointTypesF;
typedef GaugeImplTypes<vComplexD, SU<Nc>::AdjointDimension> GimplAdjointTypesD;
NAMESPACE_END(Grid);
#endif // GRID_GAUGE_IMPL_TYPES_H

View File

@ -176,7 +176,7 @@ public:
return PeriodicBC::CshiftLink(Link,mu,shift);
}
static inline void setDirections(const std::vector<int> &conjDirs) { _conjDirs=conjDirs; }
static inline void setDirections(std::vector<int> &conjDirs) { _conjDirs=conjDirs; }
static inline std::vector<int> getDirections(void) { return _conjDirs; }
static inline bool isPeriodicGaugeField(void) { return false; }
};
@ -193,11 +193,6 @@ typedef ConjugateGaugeImpl<GimplTypesR> ConjugateGimplR; // Real.. whichever pre
typedef ConjugateGaugeImpl<GimplTypesF> ConjugateGimplF; // Float
typedef ConjugateGaugeImpl<GimplTypesD> ConjugateGimplD; // Double
typedef PeriodicGaugeImpl<SpGimplTypesR> SpPeriodicGimplR; // Real.. whichever prec
typedef PeriodicGaugeImpl<SpGimplTypesF> SpPeriodicGimplF; // Float
typedef PeriodicGaugeImpl<SpGimplTypesD> SpPeriodicGimplD; // Double
NAMESPACE_END(Grid);
#endif

View File

@ -43,7 +43,7 @@ public:
private:
RealD c_plaq;
RealD c_rect;
typename WilsonLoops<Gimpl>::StapleAndRectStapleAllWorkspace workspace;
public:
PlaqPlusRectangleAction(RealD b,RealD c): c_plaq(b),c_rect(c){};
@ -79,18 +79,27 @@ public:
GridBase *grid = Umu.Grid();
std::vector<GaugeLinkField> U (Nd,grid);
std::vector<GaugeLinkField> U2(Nd,grid);
for(int mu=0;mu<Nd;mu++){
U[mu] = PeekIndex<LorentzIndex>(Umu,mu);
WilsonLoops<Gimpl>::RectStapleDouble(U2[mu],U[mu],mu);
}
std::vector<GaugeLinkField> RectStaple(Nd,grid), Staple(Nd,grid);
WilsonLoops<Gimpl>::StapleAndRectStapleAll(Staple, RectStaple, U, workspace);
GaugeLinkField dSdU_mu(grid);
GaugeLinkField staple(grid);
for (int mu=0; mu < Nd; mu++){
dSdU_mu = Ta(U[mu]*Staple[mu])*factor_p;
dSdU_mu = dSdU_mu + Ta(U[mu]*RectStaple[mu])*factor_r;
// Staple in direction mu
WilsonLoops<Gimpl>::Staple(staple,Umu,mu);
dSdU_mu = Ta(U[mu]*staple)*factor_p;
WilsonLoops<Gimpl>::RectStaple(Umu,staple,U2,U,mu);
dSdU_mu = dSdU_mu + Ta(U[mu]*staple)*factor_r;
PokeIndex<LorentzIndex>(dSdU, dSdU_mu, mu);
}

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@ -225,18 +225,6 @@ template <class RepresentationsPolicy,
using GenericHMCRunnerHirep =
HMCWrapperTemplate<PeriodicGimplR, Integrator, RepresentationsPolicy>;
// sp2n
template <template <typename, typename, typename> class Integrator>
using GenericSpHMCRunner = HMCWrapperTemplate<SpPeriodicGimplR, Integrator>;
template <class RepresentationsPolicy,
template <typename, typename, typename> class Integrator>
using GenericSpHMCRunnerHirep =
HMCWrapperTemplate<SpPeriodicGimplR, Integrator, RepresentationsPolicy>;
template <class Implementation, class RepresentationsPolicy,
template <typename, typename, typename> class Integrator>
using GenericHMCRunnerTemplate = HMCWrapperTemplate<Implementation, Integrator, RepresentationsPolicy>;

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@ -13,7 +13,7 @@ NAMESPACE_BEGIN(Grid);
* Empty since HMC updates already the fundamental representation
*/
template <int ncolour, class group_name>
template <int ncolour>
class FundamentalRep {
public:
static const int Dimension = ncolour;
@ -21,7 +21,7 @@ public:
// typdef to be used by the Representations class in HMC to get the
// types for the higher representation fields
typedef typename GaugeGroup<ncolour,group_name>::LatticeMatrix LatticeMatrix;
typedef typename SU<ncolour>::LatticeMatrix LatticeMatrix;
typedef LatticeGaugeField LatticeField;
explicit FundamentalRep(GridBase* grid) {} //do nothing
@ -45,8 +45,7 @@ public:
typedef FundamentalRep<Nc,GroupName::SU> FundamentalRepresentation;
typedef FundamentalRep<Nc,GroupName::Sp> SpFundamentalRepresentation;
typedef FundamentalRep<Nc> FundamentalRepresentation;
NAMESPACE_END(Grid);

View File

@ -20,14 +20,14 @@ NAMESPACE_BEGIN(Grid);
* in the SUnTwoIndex.h file
*/
template <int ncolour, TwoIndexSymmetry S, class group_name = GroupName::SU>
template <int ncolour, TwoIndexSymmetry S>
class TwoIndexRep {
public:
// typdef to be used by the Representations class in HMC to get the
// types for the higher representation fields
typedef typename GaugeGroupTwoIndex<ncolour, S, group_name>::LatticeTwoIndexMatrix LatticeMatrix;
typedef typename GaugeGroupTwoIndex<ncolour, S, group_name>::LatticeTwoIndexField LatticeField;
static const int Dimension = GaugeGroupTwoIndex<ncolour,S,group_name>::Dimension;
typedef typename SU_TwoIndex<ncolour, S>::LatticeTwoIndexMatrix LatticeMatrix;
typedef typename SU_TwoIndex<ncolour, S>::LatticeTwoIndexField LatticeField;
static const int Dimension = ncolour * (ncolour + S) / 2;
static const bool isFundamental = false;
LatticeField U;
@ -43,10 +43,10 @@ public:
U = Zero();
LatticeColourMatrix tmp(Uin.Grid());
Vector<typename GaugeGroup<ncolour,group_name>::Matrix> eij(Dimension);
Vector<typename SU<ncolour>::Matrix> eij(Dimension);
for (int a = 0; a < Dimension; a++)
GaugeGroupTwoIndex<ncolour, S, group_name>::base(a, eij[a]);
SU_TwoIndex<ncolour, S>::base(a, eij[a]);
for (int mu = 0; mu < Nd; mu++) {
auto Uin_mu = peekLorentz(Uin, mu);
@ -71,7 +71,7 @@ public:
out_mu = Zero();
typename GaugeGroup<ncolour, group_name>::LatticeAlgebraVector h(in.Grid());
typename SU<ncolour>::LatticeAlgebraVector h(in.Grid());
projectOnAlgebra(h, in_mu, double(Nc + 2 * S)); // factor T(r)/T(fund)
FundamentalLieAlgebraMatrix(h, out_mu); // apply scale only once
pokeLorentz(out, out_mu, mu);
@ -80,23 +80,20 @@ public:
}
private:
void projectOnAlgebra(typename GaugeGroup<ncolour, group_name>::LatticeAlgebraVector &h_out,
void projectOnAlgebra(typename SU<ncolour>::LatticeAlgebraVector &h_out,
const LatticeMatrix &in, Real scale = 1.0) const {
GaugeGroupTwoIndex<ncolour, S,group_name>::projectOnAlgebra(h_out, in, scale);
SU_TwoIndex<ncolour, S>::projectOnAlgebra(h_out, in, scale);
}
void FundamentalLieAlgebraMatrix(
typename GaugeGroup<ncolour, group_name>::LatticeAlgebraVector &h,
typename GaugeGroup<ncolour, group_name>::LatticeMatrix &out, Real scale = 1.0) const {
GaugeGroup<ncolour,group_name>::FundamentalLieAlgebraMatrix(h, out, scale);
typename SU<ncolour>::LatticeAlgebraVector &h,
typename SU<ncolour>::LatticeMatrix &out, Real scale = 1.0) const {
SU<ncolour>::FundamentalLieAlgebraMatrix(h, out, scale);
}
};
typedef TwoIndexRep<Nc, Symmetric, GroupName::SU> TwoIndexSymmetricRepresentation;
typedef TwoIndexRep<Nc, AntiSymmetric, GroupName::SU> TwoIndexAntiSymmetricRepresentation;
typedef TwoIndexRep<Nc, Symmetric, GroupName::Sp> SpTwoIndexSymmetricRepresentation;
typedef TwoIndexRep<Nc, AntiSymmetric, GroupName::Sp> SpTwoIndexAntiSymmetricRepresentation;
typedef TwoIndexRep<Nc, Symmetric> TwoIndexSymmetricRepresentation;
typedef TwoIndexRep<Nc, AntiSymmetric> TwoIndexAntiSymmetricRepresentation;
NAMESPACE_END(Grid);

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@ -37,14 +37,13 @@ NAMESPACE_BEGIN(Grid);
// Make these members of an Impl class for BC's.
namespace PeriodicBC {
//Out(x) = Link(x)*field(x+mu)
template<class covariant,class gauge> Lattice<covariant> CovShiftForward(const Lattice<gauge> &Link,
int mu,
const Lattice<covariant> &field)
{
return Link*Cshift(field,mu,1);// moves towards negative mu
}
//Out(x) = Link^dag(x-mu)*field(x-mu)
template<class covariant,class gauge> Lattice<covariant> CovShiftBackward(const Lattice<gauge> &Link,
int mu,
const Lattice<covariant> &field)
@ -53,19 +52,19 @@ namespace PeriodicBC {
tmp = adj(Link)*field;
return Cshift(tmp,mu,-1);// moves towards positive mu
}
//Out(x) = Link^dag(x-mu)
template<class gauge> Lattice<gauge>
CovShiftIdentityBackward(const Lattice<gauge> &Link, int mu)
{
return Cshift(adj(Link), mu, -1);
}
//Out(x) = Link(x)
template<class gauge> Lattice<gauge>
CovShiftIdentityForward(const Lattice<gauge> &Link, int mu)
{
return Link;
}
//Link(x) = Link(x+mu)
template<class gauge> Lattice<gauge>
ShiftStaple(const Lattice<gauge> &Link, int mu)
{

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@ -1,470 +0,0 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./lib/qcd/utils/GaugeGroup.h
Copyright (C) 2015
Author: Azusa Yamaguchi <ayamaguc@staffmail.ed.ac.uk>
Author: Peter Boyle <paboyle@ph.ed.ac.uk>
Author: neo <cossu@post.kek.jp>
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 */
#ifndef QCD_UTIL_GAUGEGROUP_H
#define QCD_UTIL_GAUGEGROUP_H
// Important detail: nvcc requires all template parameters to have names.
// This is the only reason why the second template parameter has a name.
#define ONLY_IF_SU \
typename dummy_name = group_name, \
typename named_dummy = std::enable_if_t < \
std::is_same<dummy_name, group_name>::value && \
is_su<dummy_name>::value >
#define ONLY_IF_Sp \
typename dummy_name = group_name, \
typename named_dummy = std::enable_if_t < \
std::is_same<dummy_name, group_name>::value && \
is_sp<dummy_name>::value >
NAMESPACE_BEGIN(Grid);
namespace GroupName {
class SU {};
class Sp {};
} // namespace GroupName
template <typename group_name>
struct is_su {
static const bool value = false;
};
template <>
struct is_su<GroupName::SU> {
static const bool value = true;
};
template <typename group_name>
struct is_sp {
static const bool value = false;
};
template <>
struct is_sp<GroupName::Sp> {
static const bool value = true;
};
template <typename group_name>
constexpr int compute_adjoint_dimension(int ncolour);
template <>
constexpr int compute_adjoint_dimension<GroupName::SU>(int ncolour) {
return ncolour * ncolour - 1;
}
template <>
constexpr int compute_adjoint_dimension<GroupName::Sp>(int ncolour) {
return ncolour / 2 * (ncolour + 1);
}
template <int ncolour, class group_name>
class GaugeGroup {
public:
static const int Dimension = ncolour;
static const int AdjointDimension =
compute_adjoint_dimension<group_name>(ncolour);
static const int AlgebraDimension =
compute_adjoint_dimension<group_name>(ncolour);
template <typename vtype>
using iSU2Matrix = iScalar<iScalar<iMatrix<vtype, 2> > >;
template <typename vtype>
using iGroupMatrix = iScalar<iScalar<iMatrix<vtype, ncolour> > >;
template <typename vtype>
using iAlgebraVector = iScalar<iScalar<iVector<vtype, AdjointDimension> > >;
static int su2subgroups(void) { return su2subgroups(group_name()); }
//////////////////////////////////////////////////////////////////////////////////////////////////
// Types can be accessed as SU<2>::Matrix , SU<2>::vSUnMatrix,
// SU<2>::LatticeMatrix etc...
//////////////////////////////////////////////////////////////////////////////////////////////////
typedef iGroupMatrix<Complex> Matrix;
typedef iGroupMatrix<ComplexF> MatrixF;
typedef iGroupMatrix<ComplexD> MatrixD;
typedef iGroupMatrix<vComplex> vMatrix;
typedef iGroupMatrix<vComplexF> vMatrixF;
typedef iGroupMatrix<vComplexD> vMatrixD;
// For the projectors to the algebra
// these should be real...
// keeping complex for consistency with the SIMD vector types
typedef iAlgebraVector<Complex> AlgebraVector;
typedef iAlgebraVector<ComplexF> AlgebraVectorF;
typedef iAlgebraVector<ComplexD> AlgebraVectorD;
typedef iAlgebraVector<vComplex> vAlgebraVector;
typedef iAlgebraVector<vComplexF> vAlgebraVectorF;
typedef iAlgebraVector<vComplexD> vAlgebraVectorD;
typedef Lattice<vMatrix> LatticeMatrix;
typedef Lattice<vMatrixF> LatticeMatrixF;
typedef Lattice<vMatrixD> LatticeMatrixD;
typedef Lattice<vAlgebraVector> LatticeAlgebraVector;
typedef Lattice<vAlgebraVectorF> LatticeAlgebraVectorF;
typedef Lattice<vAlgebraVectorD> LatticeAlgebraVectorD;
typedef iSU2Matrix<Complex> SU2Matrix;
typedef iSU2Matrix<ComplexF> SU2MatrixF;
typedef iSU2Matrix<ComplexD> SU2MatrixD;
typedef iSU2Matrix<vComplex> vSU2Matrix;
typedef iSU2Matrix<vComplexF> vSU2MatrixF;
typedef iSU2Matrix<vComplexD> vSU2MatrixD;
typedef Lattice<vSU2Matrix> LatticeSU2Matrix;
typedef Lattice<vSU2MatrixF> LatticeSU2MatrixF;
typedef Lattice<vSU2MatrixD> LatticeSU2MatrixD;
// Private implementation details are specified in the following files:
// Grid/qcd/utils/SUn.impl
// Grid/qcd/utils/SUn.impl
// The public part of the interface follows below and refers to these
// private member functions.
#include <Grid/qcd/utils/SUn.impl.h>
#include <Grid/qcd/utils/Sp2n.impl.h>
public:
template <class cplx>
static void generator(int lieIndex, iGroupMatrix<cplx> &ta) {
return generator(lieIndex, ta, group_name());
}
static void su2SubGroupIndex(int &i1, int &i2, int su2_index) {
return su2SubGroupIndex(i1, i2, su2_index, group_name());
}
static void testGenerators(void) { testGenerators(group_name()); }
static void printGenerators(void) {
for (int gen = 0; gen < AlgebraDimension; gen++) {
Matrix ta;
generator(gen, ta);
std::cout << GridLogMessage << "Nc = " << ncolour << " t_" << gen
<< std::endl;
std::cout << GridLogMessage << ta << std::endl;
}
}
template <typename LatticeMatrixType>
static void LieRandomize(GridParallelRNG &pRNG, LatticeMatrixType &out,
double scale = 1.0) {
GridBase *grid = out.Grid();
typedef typename LatticeMatrixType::vector_type vector_type;
typedef iSinglet<vector_type> vTComplexType;
typedef Lattice<vTComplexType> LatticeComplexType;
typedef typename GridTypeMapper<
typename LatticeMatrixType::vector_object>::scalar_object MatrixType;
LatticeComplexType ca(grid);
LatticeMatrixType lie(grid);
LatticeMatrixType la(grid);
ComplexD ci(0.0, scale);
MatrixType ta;
lie = Zero();
for (int a = 0; a < AlgebraDimension; a++) {
random(pRNG, ca);
ca = (ca + conjugate(ca)) * 0.5;
ca = ca - 0.5;
generator(a, ta);
la = ci * ca * ta;
lie = lie + la; // e^{i la ta}
}
taExp(lie, out);
}
static void GaussianFundamentalLieAlgebraMatrix(GridParallelRNG &pRNG,
LatticeMatrix &out,
Real scale = 1.0) {
GridBase *grid = out.Grid();
LatticeReal ca(grid);
LatticeMatrix la(grid);
Complex ci(0.0, scale);
Matrix ta;
out = Zero();
for (int a = 0; a < AlgebraDimension; a++) {
gaussian(pRNG, ca);
generator(a, ta);
la = toComplex(ca) * ta;
out += la;
}
out *= ci;
}
static void FundamentalLieAlgebraMatrix(const LatticeAlgebraVector &h,
LatticeMatrix &out,
Real scale = 1.0) {
conformable(h, out);
GridBase *grid = out.Grid();
LatticeMatrix la(grid);
Matrix ta;
out = Zero();
for (int a = 0; a < AlgebraDimension; a++) {
generator(a, ta);
la = peekColour(h, a) * timesI(ta) * scale;
out += la;
}
}
// Projects the algebra components a lattice matrix (of dimension ncol*ncol -1
// ) inverse operation: FundamentalLieAlgebraMatrix
static void projectOnAlgebra(LatticeAlgebraVector &h_out,
const LatticeMatrix &in, Real scale = 1.0) {
conformable(h_out, in);
h_out = Zero();
Matrix Ta;
for (int a = 0; a < AlgebraDimension; a++) {
generator(a, Ta);
pokeColour(h_out, -2.0 * (trace(timesI(Ta) * in)) * scale, a);
}
}
template <class vtype>
accelerator_inline static iScalar<vtype> ProjectOnGeneralGroup(const iScalar<vtype> &r) {
return ProjectOnGeneralGroup(r, group_name());
}
template <class vtype, int N>
accelerator_inline static iVector<vtype,N> ProjectOnGeneralGroup(const iVector<vtype,N> &r) {
return ProjectOnGeneralGroup(r, group_name());
}
template <class vtype,int N, typename std::enable_if< GridTypeMapper<vtype>::TensorLevel == 0 >::type * =nullptr>
accelerator_inline static iMatrix<vtype,N> ProjectOnGeneralGroup(const iMatrix<vtype,N> &arg) {
return ProjectOnGeneralGroup(arg, group_name());
}
template <int N,class vComplex_t> // Projects on the general groups U(N), Sp(2N)xZ2 i.e. determinant is allowed a complex phase.
static void ProjectOnGeneralGroup(Lattice<iVector<iScalar<iMatrix<vComplex_t, N> >, Nd> > &U) {
for (int mu = 0; mu < Nd; mu++) {
auto Umu = PeekIndex<LorentzIndex>(U, mu);
Umu = ProjectOnGeneralGroup(Umu);
}
}
template <int N,class vComplex_t>
static Lattice<iScalar<iScalar<iMatrix<vComplex_t, N> > > > ProjectOnGeneralGroup(const Lattice<iScalar<iScalar<iMatrix<vComplex_t, N> > > > &Umu) {
return ProjectOnGeneralGroup(Umu, group_name());
}
template <int N,class vComplex_t> // Projects on SU(N), Sp(2N), with unit determinant, by first projecting on general group and then enforcing unit determinant
static void ProjectOnSpecialGroup(Lattice<iScalar<iScalar<iMatrix<vComplex_t, N> > > > &Umu) {
Umu = ProjectOnGeneralGroup(Umu);
auto det = Determinant(Umu);
det = conjugate(det);
for (int i = 0; i < N; i++) {
auto element = PeekIndex<ColourIndex>(Umu, N - 1, i);
element = element * det;
PokeIndex<ColourIndex>(Umu, element, Nc - 1, i);
}
}
template <int N,class vComplex_t> // reunitarise, resimplectify... previously ProjectSUn
static void ProjectOnSpecialGroup(Lattice<iVector<iScalar<iMatrix<vComplex_t, N> >, Nd> > &U) {
// Reunitarise
for (int mu = 0; mu < Nd; mu++) {
auto Umu = PeekIndex<LorentzIndex>(U, mu);
ProjectOnSpecialGroup(Umu);
PokeIndex<LorentzIndex>(U, Umu, mu);
}
}
template <typename GaugeField>
static void HotConfiguration(GridParallelRNG &pRNG, GaugeField &out) {
typedef typename GaugeField::vector_type vector_type;
typedef iGroupMatrix<vector_type> vMatrixType;
typedef Lattice<vMatrixType> LatticeMatrixType;
LatticeMatrixType Umu(out.Grid());
LatticeMatrixType tmp(out.Grid());
for (int mu = 0; mu < Nd; mu++) {
// LieRandomize(pRNG, Umu, 1.0);
// PokeIndex<LorentzIndex>(out, Umu, mu);
gaussian(pRNG,Umu);
tmp = Ta(Umu);
taExp(tmp,Umu);
ProjectOnSpecialGroup(Umu);
// ProjectSUn(Umu);
PokeIndex<LorentzIndex>(out, Umu, mu);
}
}
template <typename GaugeField>
static void TepidConfiguration(GridParallelRNG &pRNG, GaugeField &out) {
typedef typename GaugeField::vector_type vector_type;
typedef iGroupMatrix<vector_type> vMatrixType;
typedef Lattice<vMatrixType> LatticeMatrixType;
LatticeMatrixType Umu(out.Grid());
for (int mu = 0; mu < Nd; mu++) {
LieRandomize(pRNG, Umu, 0.01);
PokeIndex<LorentzIndex>(out, Umu, mu);
}
}
template <typename GaugeField>
static void ColdConfiguration(GaugeField &out) {
typedef typename GaugeField::vector_type vector_type;
typedef iGroupMatrix<vector_type> vMatrixType;
typedef Lattice<vMatrixType> LatticeMatrixType;
LatticeMatrixType Umu(out.Grid());
Umu = 1.0;
for (int mu = 0; mu < Nd; mu++) {
PokeIndex<LorentzIndex>(out, Umu, mu);
}
}
template <typename GaugeField>
static void ColdConfiguration(GridParallelRNG &pRNG, GaugeField &out) {
ColdConfiguration(out);
}
template <typename LatticeMatrixType>
static void taProj(const LatticeMatrixType &in, LatticeMatrixType &out) {
taProj(in, out, group_name());
}
template <typename LatticeMatrixType>
static void taExp(const LatticeMatrixType &x, LatticeMatrixType &ex) {
typedef typename LatticeMatrixType::scalar_type ComplexType;
LatticeMatrixType xn(x.Grid());
RealD nfac = 1.0;
xn = x;
ex = xn + ComplexType(1.0); // 1+x
// Do a 12th order exponentiation
for (int i = 2; i <= 12; ++i) {
nfac = nfac / RealD(i); // 1/2, 1/2.3 ...
xn = xn * x; // x2, x3,x4....
ex = ex + xn * nfac; // x2/2!, x3/3!....
}
}
};
template <int ncolour>
using SU = GaugeGroup<ncolour, GroupName::SU>;
template <int ncolour>
using Sp = GaugeGroup<ncolour, GroupName::Sp>;
typedef SU<2> SU2;
typedef SU<3> SU3;
typedef SU<4> SU4;
typedef SU<5> SU5;
typedef SU<Nc> FundamentalMatrices;
typedef Sp<2> Sp2;
typedef Sp<4> Sp4;
typedef Sp<6> Sp6;
typedef Sp<8> Sp8;
template <int N,class vComplex_t>
static void ProjectSUn(Lattice<iScalar<iScalar<iMatrix<vComplex_t, N> > > > &Umu)
{
GaugeGroup<N,GroupName::SU>::ProjectOnSpecialGroup(Umu);
}
template <int N,class vComplex_t>
static void ProjectSUn(Lattice<iVector<iScalar<iMatrix<vComplex_t, N> >,Nd> > &U)
{
GaugeGroup<N,GroupName::SU>::ProjectOnSpecialGroup(U);
}
template <int N,class vComplex_t>
static void ProjectSpn(Lattice<iScalar<iScalar<iMatrix<vComplex_t, N> > > > &Umu)
{
GaugeGroup<N,GroupName::Sp>::ProjectOnSpecialGroup(Umu);
}
template <int N,class vComplex_t>
static void ProjectSpn(Lattice<iVector<iScalar<iMatrix<vComplex_t, N> >,Nd> > &U)
{
GaugeGroup<N,GroupName::Sp>::ProjectOnSpecialGroup(U);
}
// Explicit specialisation for SU(3).
static void ProjectSU3(Lattice<iScalar<iScalar<iMatrix<vComplexD, 3> > > > &Umu)
{
GridBase *grid = Umu.Grid();
const int x = 0;
const int y = 1;
const int z = 2;
// Reunitarise
Umu = ProjectOnGroup(Umu);
autoView(Umu_v, Umu, CpuWrite);
thread_for(ss, grid->oSites(), {
auto cm = Umu_v[ss];
cm()()(2, x) = adj(cm()()(0, y) * cm()()(1, z) -
cm()()(0, z) * cm()()(1, y)); // x= yz-zy
cm()()(2, y) = adj(cm()()(0, z) * cm()()(1, x) -
cm()()(0, x) * cm()()(1, z)); // y= zx-xz
cm()()(2, z) = adj(cm()()(0, x) * cm()()(1, y) -
cm()()(0, y) * cm()()(1, x)); // z= xy-yx
Umu_v[ss] = cm;
});
}
static void ProjectSU3(Lattice<iVector<iScalar<iMatrix<vComplexD, 3> >, Nd> > &U)
{
GridBase *grid = U.Grid();
// Reunitarise
for (int mu = 0; mu < Nd; mu++) {
auto Umu = PeekIndex<LorentzIndex>(U, mu);
Umu = ProjectOnGroup(Umu);
ProjectSU3(Umu);
PokeIndex<LorentzIndex>(U, Umu, mu);
}
}
NAMESPACE_END(Grid);
#endif

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@ -1,371 +0,0 @@
////////////////////////////////////////////////////////////////////////
//
// * Two index representation generators
//
// * Normalisation for the fundamental generators:
// trace ta tb = 1/2 delta_ab = T_F delta_ab
// T_F = 1/2 for SU(N) groups
//
//
// base for NxN two index (anti-symmetric) matrices
// normalized to 1 (d_ij is the kroenecker delta)
//
// (e^(ij)_{kl} = 1 / sqrt(2) (d_ik d_jl +/- d_jk d_il)
//
// Then the generators are written as
//
// (iT_a)^(ij)(lk) = i * ( tr[e^(ij)^dag e^(lk) T^trasp_a] +
// tr[e^(lk)e^(ij)^dag T_a] ) //
//
//
////////////////////////////////////////////////////////////////////////
// Authors: David Preti, Guido Cossu
#ifndef QCD_UTIL_GAUGEGROUPTWOINDEX_H
#define QCD_UTIL_GAUGEGROUPTWOINDEX_H
NAMESPACE_BEGIN(Grid);
enum TwoIndexSymmetry { Symmetric = 1, AntiSymmetric = -1 };
constexpr inline Real delta(int a, int b) { return (a == b) ? 1.0 : 0.0; }
namespace detail {
template <class cplx, int nc, TwoIndexSymmetry S>
struct baseOffDiagonalSpHelper;
template <class cplx, int nc>
struct baseOffDiagonalSpHelper<cplx, nc, AntiSymmetric> {
static const int ngroup = nc / 2;
static void baseOffDiagonalSp(int i, int j, iScalar<iScalar<iMatrix<cplx, nc> > > &eij) {
eij = Zero();
RealD tmp;
if ((i == ngroup + j) && (1 <= j) && (j < ngroup)) {
for (int k = 0; k < j+1; k++) {
if (k < j) {
tmp = 1 / sqrt(j * (j + 1));
eij()()(k, k + ngroup) = tmp;
eij()()(k + ngroup, k) = -tmp;
}
if (k == j) {
tmp = -j / sqrt(j * (j + 1));
eij()()(k, k + ngroup) = tmp;
eij()()(k + ngroup, k) = -tmp;
}
}
}
else if (i != ngroup + j) {
for (int k = 0; k < nc; k++)
for (int l = 0; l < nc; l++) {
eij()()(l, k) =
delta(i, k) * delta(j, l) - delta(j, k) * delta(i, l);
}
}
RealD nrm = 1. / std::sqrt(2.0);
eij = eij * nrm;
}
};
template <class cplx, int nc>
struct baseOffDiagonalSpHelper<cplx, nc, Symmetric> {
static void baseOffDiagonalSp(int i, int j, iScalar<iScalar<iMatrix<cplx, nc> > > &eij) {
eij = Zero();
for (int k = 0; k < nc; k++)
for (int l = 0; l < nc; l++)
eij()()(l, k) =
delta(i, k) * delta(j, l) + delta(j, k) * delta(i, l);
RealD nrm = 1. / std::sqrt(2.0);
eij = eij * nrm;
}
};
} // closing detail namespace
template <int ncolour, TwoIndexSymmetry S, class group_name>
class GaugeGroupTwoIndex : public GaugeGroup<ncolour, group_name> {
public:
// The chosen convention is that we are taking ncolour to be N in SU<N> but 2N
// in Sp(2N). ngroup is equal to N for SU but 2N/2 = N for Sp(2N).
static_assert(std::is_same<group_name, GroupName::SU>::value or
std::is_same<group_name, GroupName::Sp>::value,
"ngroup is only implemented for SU and Sp currently.");
static const int ngroup =
std::is_same<group_name, GroupName::SU>::value ? ncolour : ncolour / 2;
static const int Dimension =
(ncolour * (ncolour + S) / 2) + (std::is_same<group_name, GroupName::Sp>::value ? (S - 1) / 2 : 0);
static const int DimensionAS =
(ncolour * (ncolour - 1) / 2) + (std::is_same<group_name, GroupName::Sp>::value ? (- 1) : 0);
static const int DimensionS =
ncolour * (ncolour + 1) / 2;
static const int NumGenerators =
GaugeGroup<ncolour, group_name>::AlgebraDimension;
template <typename vtype>
using iGroupTwoIndexMatrix = iScalar<iScalar<iMatrix<vtype, Dimension> > >;
typedef iGroupTwoIndexMatrix<Complex> TIMatrix;
typedef iGroupTwoIndexMatrix<ComplexF> TIMatrixF;
typedef iGroupTwoIndexMatrix<ComplexD> TIMatrixD;
typedef iGroupTwoIndexMatrix<vComplex> vTIMatrix;
typedef iGroupTwoIndexMatrix<vComplexF> vTIMatrixF;
typedef iGroupTwoIndexMatrix<vComplexD> vTIMatrixD;
typedef Lattice<vTIMatrix> LatticeTwoIndexMatrix;
typedef Lattice<vTIMatrixF> LatticeTwoIndexMatrixF;
typedef Lattice<vTIMatrixD> LatticeTwoIndexMatrixD;
typedef Lattice<iVector<iScalar<iMatrix<vComplex, Dimension> >, Nd> >
LatticeTwoIndexField;
typedef Lattice<iVector<iScalar<iMatrix<vComplexF, Dimension> >, Nd> >
LatticeTwoIndexFieldF;
typedef Lattice<iVector<iScalar<iMatrix<vComplexD, Dimension> >, Nd> >
LatticeTwoIndexFieldD;
template <typename vtype>
using iGroupMatrix = iScalar<iScalar<iMatrix<vtype, ncolour> > >;
typedef iGroupMatrix<Complex> Matrix;
typedef iGroupMatrix<ComplexF> MatrixF;
typedef iGroupMatrix<ComplexD> MatrixD;
private:
template <class cplx>
static void baseDiagonal(int Index, iGroupMatrix<cplx> &eij) {
eij = Zero();
eij()()(Index - ncolour * (ncolour - 1) / 2,
Index - ncolour * (ncolour - 1) / 2) = 1.0;
}
template <class cplx>
static void baseOffDiagonal(int i, int j, iGroupMatrix<cplx> &eij, GroupName::SU) {
eij = Zero();
for (int k = 0; k < ncolour; k++)
for (int l = 0; l < ncolour; l++)
eij()()(l, k) =
delta(i, k) * delta(j, l) + S * delta(j, k) * delta(i, l);
RealD nrm = 1. / std::sqrt(2.0);
eij = eij * nrm;
}
template <class cplx>
static void baseOffDiagonal(int i, int j, iGroupMatrix<cplx> &eij, GroupName::Sp) {
detail::baseOffDiagonalSpHelper<cplx, ncolour, S>::baseOffDiagonalSp(i, j, eij);
}
public:
template <class cplx>
static void base(int Index, iGroupMatrix<cplx> &eij) {
// returns (e)^(ij)_{kl} necessary for change of base U_F -> U_R
assert(Index < Dimension);
eij = Zero();
// for the linearisation of the 2 indexes
static int a[ncolour * (ncolour - 1) / 2][2]; // store the a <-> i,j
static bool filled = false;
if (!filled) {
int counter = 0;
for (int i = 1; i < ncolour; i++) {
for (int j = 0; j < i; j++) {
if (std::is_same<group_name, GroupName::Sp>::value)
{
if (j==0 && i==ngroup+j && S==-1) {
//std::cout << "skipping" << std::endl; // for Sp2n this vanishes identically.
j = j+1;
}
}
a[counter][0] = i;
a[counter][1] = j;
counter++;
}
}
filled = true;
}
if (Index < ncolour*ncolour - DimensionS)
{
baseOffDiagonal(a[Index][0], a[Index][1], eij, group_name());
} else {
baseDiagonal(Index, eij);
}
}
static void printBase(void) {
for (int gen = 0; gen < Dimension; gen++) {
Matrix tmp;
base(gen, tmp);
std::cout << GridLogMessage << "Nc = " << ncolour << " t_" << gen
<< std::endl;
std::cout << GridLogMessage << tmp << std::endl;
}
}
template <class cplx>
static void generator(int Index, iGroupTwoIndexMatrix<cplx> &i2indTa) {
Vector<iGroupMatrix<cplx> > ta(NumGenerators);
Vector<iGroupMatrix<cplx> > eij(Dimension);
iGroupMatrix<cplx> tmp;
for (int a = 0; a < NumGenerators; a++)
GaugeGroup<ncolour, group_name>::generator(a, ta[a]);
for (int a = 0; a < Dimension; a++) base(a, eij[a]);
for (int a = 0; a < Dimension; a++) {
tmp = transpose(eij[a]*ta[Index]) + transpose(eij[a]) * ta[Index];
for (int b = 0; b < Dimension; b++) {
Complex iTr = TensorRemove(timesI(trace(tmp * eij[b])));
i2indTa()()(a, b) = iTr;
}
}
}
static void printGenerators(void) {
for (int gen = 0; gen < NumGenerators; gen++) {
TIMatrix i2indTa;
generator(gen, i2indTa);
std::cout << GridLogMessage << "Nc = " << ncolour << " t_" << gen
<< std::endl;
std::cout << GridLogMessage << i2indTa << std::endl;
}
}
static void testGenerators(void) {
TIMatrix i2indTa, i2indTb;
std::cout << GridLogMessage << "2IndexRep - Checking if traceless"
<< std::endl;
for (int a = 0; a < NumGenerators; a++) {
generator(a, i2indTa);
std::cout << GridLogMessage << a << std::endl;
assert(norm2(trace(i2indTa)) < 1.0e-6);
}
std::cout << GridLogMessage << std::endl;
std::cout << GridLogMessage << "2IndexRep - Checking if antihermitean"
<< std::endl;
for (int a = 0; a < NumGenerators; a++) {
generator(a, i2indTa);
std::cout << GridLogMessage << a << std::endl;
assert(norm2(adj(i2indTa) + i2indTa) < 1.0e-6);
}
std::cout << GridLogMessage << std::endl;
std::cout << GridLogMessage
<< "2IndexRep - Checking Tr[Ta*Tb]=delta(a,b)*(N +- 2)/2"
<< std::endl;
for (int a = 0; a < NumGenerators; a++) {
for (int b = 0; b < NumGenerators; b++) {
generator(a, i2indTa);
generator(b, i2indTb);
// generator returns iTa, so we need a minus sign here
Complex Tr = -TensorRemove(trace(i2indTa * i2indTb));
std::cout << GridLogMessage << "a=" << a << "b=" << b << "Tr=" << Tr
<< std::endl;
if (a == b) {
assert(real(Tr) - ((ncolour + S * 2) * 0.5) < 1e-8);
} else {
assert(real(Tr) < 1e-8);
}
assert(imag(Tr) < 1e-8);
}
}
std::cout << GridLogMessage << std::endl;
}
static void TwoIndexLieAlgebraMatrix(
const typename GaugeGroup<ncolour, group_name>::LatticeAlgebraVector &h,
LatticeTwoIndexMatrix &out, Real scale = 1.0) {
conformable(h, out);
GridBase *grid = out.Grid();
LatticeTwoIndexMatrix la(grid);
TIMatrix i2indTa;
out = Zero();
for (int a = 0; a < NumGenerators; a++) {
generator(a, i2indTa);
la = peekColour(h, a) * i2indTa;
out += la;
}
out *= scale;
}
// Projects the algebra components
// of a lattice matrix ( of dimension ncol*ncol -1 )
static void projectOnAlgebra(
typename GaugeGroup<ncolour, group_name>::LatticeAlgebraVector &h_out,
const LatticeTwoIndexMatrix &in, Real scale = 1.0) {
conformable(h_out, in);
h_out = Zero();
TIMatrix i2indTa;
Real coefficient = -2.0 / (ncolour + 2 * S) * scale;
// 2/(Nc +/- 2) for the normalization of the trace in the two index rep
for (int a = 0; a < NumGenerators; a++) {
generator(a, i2indTa);
pokeColour(h_out, real(trace(i2indTa * in)) * coefficient, a);
}
}
// a projector that keeps the generators stored to avoid the overhead of
// recomputing them
static void projector(
typename GaugeGroup<ncolour, group_name>::LatticeAlgebraVector &h_out,
const LatticeTwoIndexMatrix &in, Real scale = 1.0) {
conformable(h_out, in);
// to store the generators
static std::vector<TIMatrix> i2indTa(NumGenerators);
h_out = Zero();
static bool precalculated = false;
if (!precalculated) {
precalculated = true;
for (int a = 0; a < NumGenerators; a++) generator(a, i2indTa[a]);
}
Real coefficient =
-2.0 / (ncolour + 2 * S) * scale; // 2/(Nc +/- 2) for the normalization
// of the trace in the two index rep
for (int a = 0; a < NumGenerators; a++) {
auto tmp = real(trace(i2indTa[a] * in)) * coefficient;
pokeColour(h_out, tmp, a);
}
}
};
template <int ncolour, TwoIndexSymmetry S>
using SU_TwoIndex = GaugeGroupTwoIndex<ncolour, S, GroupName::SU>;
// Some useful type names
typedef SU_TwoIndex<Nc, Symmetric> TwoIndexSymmMatrices;
typedef SU_TwoIndex<Nc, AntiSymmetric> TwoIndexAntiSymmMatrices;
typedef SU_TwoIndex<2, Symmetric> SU2TwoIndexSymm;
typedef SU_TwoIndex<3, Symmetric> SU3TwoIndexSymm;
typedef SU_TwoIndex<4, Symmetric> SU4TwoIndexSymm;
typedef SU_TwoIndex<5, Symmetric> SU5TwoIndexSymm;
typedef SU_TwoIndex<2, AntiSymmetric> SU2TwoIndexAntiSymm;
typedef SU_TwoIndex<3, AntiSymmetric> SU3TwoIndexAntiSymm;
typedef SU_TwoIndex<4, AntiSymmetric> SU4TwoIndexAntiSymm;
typedef SU_TwoIndex<5, AntiSymmetric> SU5TwoIndexAntiSymm;
template <int ncolour, TwoIndexSymmetry S>
using Sp_TwoIndex = GaugeGroupTwoIndex<ncolour, S, GroupName::Sp>;
typedef Sp_TwoIndex<Nc, Symmetric> SpTwoIndexSymmMatrices;
typedef Sp_TwoIndex<Nc, AntiSymmetric> SpTwoIndexAntiSymmMatrices;
typedef Sp_TwoIndex<2, Symmetric> Sp2TwoIndexSymm;
typedef Sp_TwoIndex<4, Symmetric> Sp4TwoIndexSymm;
typedef Sp_TwoIndex<4, AntiSymmetric> Sp4TwoIndexAntiSymm;
NAMESPACE_END(Grid);
#endif

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/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Source file: ./lib/qcd/utils/SUn.h
Copyright (C) 2015
Author: Azusa Yamaguchi <ayamaguc@staffmail.ed.ac.uk>
Author: Peter Boyle <paboyle@ph.ed.ac.uk>
Author: neo <cossu@post.kek.jp>
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 */
#ifndef QCD_UTIL_SUN_H
#define QCD_UTIL_SUN_H
NAMESPACE_BEGIN(Grid);
template<int N, class Vec>
Lattice<iScalar<iScalar<iScalar<Vec> > > > Determinant(const Lattice<iScalar<iScalar<iMatrix<Vec, N> > > > &Umu)
{
GridBase *grid=Umu.Grid();
auto lvol = grid->lSites();
Lattice<iScalar<iScalar<iScalar<Vec> > > > ret(grid);
autoView(Umu_v,Umu,CpuRead);
autoView(ret_v,ret,CpuWrite);
thread_for(site,lvol,{
Eigen::MatrixXcd EigenU = Eigen::MatrixXcd::Zero(N,N);
Coordinate lcoor;
grid->LocalIndexToLocalCoor(site, lcoor);
iScalar<iScalar<iMatrix<ComplexD, N> > > Us;
peekLocalSite(Us, Umu_v, lcoor);
for(int i=0;i<N;i++){
for(int j=0;j<N;j++){
EigenU(i,j) = Us()()(i,j);
}}
ComplexD detD = EigenU.determinant();
typename Vec::scalar_type det(detD.real(),detD.imag());
pokeLocalSite(det,ret_v,lcoor);
});
return ret;
}
template<int N, class Vec>
static void ProjectSUn(Lattice<iScalar<iScalar<iMatrix<Vec, N> > > > &Umu)
{
Umu = ProjectOnGroup(Umu);
auto det = Determinant(Umu);
det = conjugate(det);
for(int i=0;i<N;i++){
auto element = PeekIndex<ColourIndex>(Umu,N-1,i);
element = element * det;
PokeIndex<ColourIndex>(Umu,element,Nc-1,i);
}
}
template<int N,class Vec>
static void ProjectSUn(Lattice<iVector<iScalar<iMatrix<Vec, N> >,Nd> > &U)
{
GridBase *grid=U.Grid();
// Reunitarise
for(int mu=0;mu<Nd;mu++){
auto Umu = PeekIndex<LorentzIndex>(U,mu);
Umu = ProjectOnGroup(Umu);
ProjectSUn(Umu);
PokeIndex<LorentzIndex>(U,Umu,mu);
}
}
template <int ncolour>
class SU {
public:
static const int Dimension = ncolour;
static const int AdjointDimension = ncolour * ncolour - 1;
static int su2subgroups(void) { return (ncolour * (ncolour - 1)) / 2; }
template <typename vtype>
using iSUnMatrix = iScalar<iScalar<iMatrix<vtype, ncolour> > >;
template <typename vtype>
using iSU2Matrix = iScalar<iScalar<iMatrix<vtype, 2> > >;
template <typename vtype>
using iSUnAlgebraVector =
iScalar<iScalar<iVector<vtype, AdjointDimension> > >;
//////////////////////////////////////////////////////////////////////////////////////////////////
// Types can be accessed as SU<2>::Matrix , SU<2>::vSUnMatrix,
// SU<2>::LatticeMatrix etc...
//////////////////////////////////////////////////////////////////////////////////////////////////
typedef iSUnMatrix<Complex> Matrix;
typedef iSUnMatrix<ComplexF> MatrixF;
typedef iSUnMatrix<ComplexD> MatrixD;
typedef iSUnMatrix<vComplex> vMatrix;
typedef iSUnMatrix<vComplexF> vMatrixF;
typedef iSUnMatrix<vComplexD> vMatrixD;
// For the projectors to the algebra
// these should be real...
// keeping complex for consistency with the SIMD vector types
typedef iSUnAlgebraVector<Complex> AlgebraVector;
typedef iSUnAlgebraVector<ComplexF> AlgebraVectorF;
typedef iSUnAlgebraVector<ComplexD> AlgebraVectorD;
typedef iSUnAlgebraVector<vComplex> vAlgebraVector;
typedef iSUnAlgebraVector<vComplexF> vAlgebraVectorF;
typedef iSUnAlgebraVector<vComplexD> vAlgebraVectorD;
typedef Lattice<vMatrix> LatticeMatrix;
typedef Lattice<vMatrixF> LatticeMatrixF;
typedef Lattice<vMatrixD> LatticeMatrixD;
typedef Lattice<vAlgebraVector> LatticeAlgebraVector;
typedef Lattice<vAlgebraVectorF> LatticeAlgebraVectorF;
typedef Lattice<vAlgebraVectorD> LatticeAlgebraVectorD;
typedef iSU2Matrix<Complex> SU2Matrix;
typedef iSU2Matrix<ComplexF> SU2MatrixF;
typedef iSU2Matrix<ComplexD> SU2MatrixD;
typedef iSU2Matrix<vComplex> vSU2Matrix;
typedef iSU2Matrix<vComplexF> vSU2MatrixF;
typedef iSU2Matrix<vComplexD> vSU2MatrixD;
typedef Lattice<vSU2Matrix> LatticeSU2Matrix;
typedef Lattice<vSU2MatrixF> LatticeSU2MatrixF;
typedef Lattice<vSU2MatrixD> LatticeSU2MatrixD;
////////////////////////////////////////////////////////////////////////
// There are N^2-1 generators for SU(N).
//
// We take a traceless hermitian generator basis as follows
//
// * Normalisation: trace ta tb = 1/2 delta_ab = T_F delta_ab
// T_F = 1/2 for SU(N) groups
//
// * Off diagonal
// - pairs of rows i1,i2 behaving like pauli matrices signma_x, sigma_y
//
// - there are (Nc-1-i1) slots for i2 on each row [ x 0 x ]
// direct count off each row
//
// - Sum of all pairs is Nc(Nc-1)/2: proof arithmetic series
//
// (Nc-1) + (Nc-2)+... 1 ==> Nc*(Nc-1)/2
// 1+ 2+ + + Nc-1
//
// - There are 2 x Nc (Nc-1)/ 2 of these = Nc^2 - Nc
//
// - We enumerate the row-col pairs.
// - for each row col pair there is a (sigma_x) and a (sigma_y) like
// generator
//
//
// t^a_ij = { in 0.. Nc(Nc-1)/2 -1} => 1/2(delta_{i,i1} delta_{j,i2} +
// delta_{i,i1} delta_{j,i2})
// t^a_ij = { in Nc(Nc-1)/2 ... Nc(Nc-1) - 1} => i/2( delta_{i,i1}
// delta_{j,i2} - i delta_{i,i1} delta_{j,i2})
//
// * Diagonal; must be traceless and normalised
// - Sequence is
// N (1,-1,0,0...)
// N (1, 1,-2,0...)
// N (1, 1, 1,-3,0...)
// N (1, 1, 1, 1,-4,0...)
//
// where 1/2 = N^2 (1+.. m^2)etc.... for the m-th diagonal generator
// NB this gives the famous SU3 result for su2 index 8
//
// N= sqrt(1/2 . 1/6 ) = 1/2 . 1/sqrt(3)
//
// ( 1 )
// ( 1 ) / sqrt(3) /2 = 1/2 lambda_8
// ( -2)
//
////////////////////////////////////////////////////////////////////////
template <class cplx>
static void generator(int lieIndex, iSUnMatrix<cplx> &ta) {
// map lie index to which type of generator
int diagIndex;
int su2Index;
int sigxy;
int NNm1 = ncolour * (ncolour - 1);
if (lieIndex >= NNm1) {
diagIndex = lieIndex - NNm1;
generatorDiagonal(diagIndex, ta);
return;
}
sigxy = lieIndex & 0x1; // even or odd
su2Index = lieIndex >> 1;
if (sigxy)
generatorSigmaY(su2Index, ta);
else
generatorSigmaX(su2Index, ta);
}
template <class cplx>
static void generatorSigmaY(int su2Index, iSUnMatrix<cplx> &ta) {
ta = Zero();
int i1, i2;
su2SubGroupIndex(i1, i2, su2Index);
ta()()(i1, i2) = 1.0;
ta()()(i2, i1) = 1.0;
ta = ta * 0.5;
}
template <class cplx>
static void generatorSigmaX(int su2Index, iSUnMatrix<cplx> &ta) {
ta = Zero();
cplx i(0.0, 1.0);
int i1, i2;
su2SubGroupIndex(i1, i2, su2Index);
ta()()(i1, i2) = i;
ta()()(i2, i1) = -i;
ta = ta * 0.5;
}
template <class cplx>
static void generatorDiagonal(int diagIndex, iSUnMatrix<cplx> &ta) {
// diag ({1, 1, ..., 1}(k-times), -k, 0, 0, ...)
ta = Zero();
int k = diagIndex + 1; // diagIndex starts from 0
for (int i = 0; i <= diagIndex; i++) { // k iterations
ta()()(i, i) = 1.0;
}
ta()()(k, k) = -k; // indexing starts from 0
RealD nrm = 1.0 / std::sqrt(2.0 * k * (k + 1));
ta = ta * nrm;
}
////////////////////////////////////////////////////////////////////////
// Map a su2 subgroup number to the pair of rows that are non zero
////////////////////////////////////////////////////////////////////////
static void su2SubGroupIndex(int &i1, int &i2, int su2_index) {
assert((su2_index >= 0) && (su2_index < (ncolour * (ncolour - 1)) / 2));
int spare = su2_index;
for (i1 = 0; spare >= (ncolour - 1 - i1); i1++) {
spare = spare - (ncolour - 1 - i1); // remove the Nc-1-i1 terms
}
i2 = i1 + 1 + spare;
}
//////////////////////////////////////////////////////////////////////////////////////////
// Pull out a subgroup and project on to real coeffs x pauli basis
//////////////////////////////////////////////////////////////////////////////////////////
template <class vcplx>
static void su2Extract(Lattice<iSinglet<vcplx> > &Determinant,
Lattice<iSU2Matrix<vcplx> > &subgroup,
const Lattice<iSUnMatrix<vcplx> > &source,
int su2_index) {
GridBase *grid(source.Grid());
conformable(subgroup, source);
conformable(subgroup, Determinant);
int i0, i1;
su2SubGroupIndex(i0, i1, su2_index);
autoView( subgroup_v , subgroup,AcceleratorWrite);
autoView( source_v , source,AcceleratorRead);
autoView( Determinant_v , Determinant,AcceleratorWrite);
accelerator_for(ss, grid->oSites(), 1, {
subgroup_v[ss]()()(0, 0) = source_v[ss]()()(i0, i0);
subgroup_v[ss]()()(0, 1) = source_v[ss]()()(i0, i1);
subgroup_v[ss]()()(1, 0) = source_v[ss]()()(i1, i0);
subgroup_v[ss]()()(1, 1) = source_v[ss]()()(i1, i1);
iSU2Matrix<vcplx> Sigma = subgroup_v[ss];
Sigma = Sigma - adj(Sigma) + trace(adj(Sigma));
subgroup_v[ss] = Sigma;
// this should be purely real
Determinant_v[ss] =
Sigma()()(0, 0) * Sigma()()(1, 1) - Sigma()()(0, 1) * Sigma()()(1, 0);
});
}
//////////////////////////////////////////////////////////////////////////////////////////
// Set matrix to one and insert a pauli subgroup
//////////////////////////////////////////////////////////////////////////////////////////
template <class vcplx>
static void su2Insert(const Lattice<iSU2Matrix<vcplx> > &subgroup,
Lattice<iSUnMatrix<vcplx> > &dest, int su2_index) {
GridBase *grid(dest.Grid());
conformable(subgroup, dest);
int i0, i1;
su2SubGroupIndex(i0, i1, su2_index);
dest = 1.0; // start out with identity
autoView( dest_v , dest, AcceleratorWrite);
autoView( subgroup_v, subgroup, AcceleratorRead);
accelerator_for(ss, grid->oSites(),1,
{
dest_v[ss]()()(i0, i0) = subgroup_v[ss]()()(0, 0);
dest_v[ss]()()(i0, i1) = subgroup_v[ss]()()(0, 1);
dest_v[ss]()()(i1, i0) = subgroup_v[ss]()()(1, 0);
dest_v[ss]()()(i1, i1) = subgroup_v[ss]()()(1, 1);
});
}
///////////////////////////////////////////////
// Generate e^{ Re Tr Staple Link} dlink
//
// *** Note Staple should be appropriate linear compbination between all
// staples.
// *** If already by beta pass coefficient 1.0.
// *** This routine applies the additional 1/Nc factor that comes after trace
// in action.
//
///////////////////////////////////////////////
static void SubGroupHeatBath(GridSerialRNG &sRNG, GridParallelRNG &pRNG,
RealD beta, // coeff multiplying staple in action (with no 1/Nc)
LatticeMatrix &link,
const LatticeMatrix &barestaple, // multiplied by action coeffs so th
int su2_subgroup, int nheatbath, LatticeInteger &wheremask)
{
GridBase *grid = link.Grid();
const RealD twopi = 2.0 * M_PI;
LatticeMatrix staple(grid);
staple = barestaple * (beta / ncolour);
LatticeMatrix V(grid);
V = link * staple;
// Subgroup manipulation in the lie algebra space
LatticeSU2Matrix u(grid); // Kennedy pendleton "u" real projected normalised Sigma
LatticeSU2Matrix uinv(grid);
LatticeSU2Matrix ua(grid); // a in pauli form
LatticeSU2Matrix b(grid); // rotated matrix after hb
// Some handy constant fields
LatticeComplex ones(grid);
ones = 1.0;
LatticeComplex zeros(grid);
zeros = Zero();
LatticeReal rones(grid);
rones = 1.0;
LatticeReal rzeros(grid);
rzeros = Zero();
LatticeComplex udet(grid); // determinant of real(staple)
LatticeInteger mask_true(grid);
mask_true = 1;
LatticeInteger mask_false(grid);
mask_false = 0;
/*
PLB 156 P393 (1985) (Kennedy and Pendleton)
Note: absorb "beta" into the def of sigma compared to KP paper; staple
passed to this routine has "beta" already multiplied in
Action linear in links h and of form:
beta S = beta Sum_p (1 - 1/Nc Re Tr Plaq )
Writing Sigma = 1/Nc (beta Sigma') where sum over staples is "Sigma' "
beta S = const - beta/Nc Re Tr h Sigma'
= const - Re Tr h Sigma
Decompose h and Sigma into (1, sigma_j) ; h_i real, h^2=1, Sigma_i complex
arbitrary.
Tr h Sigma = h_i Sigma_j Tr (sigma_i sigma_j) = h_i Sigma_j 2 delta_ij
Re Tr h Sigma = 2 h_j Re Sigma_j
Normalised re Sigma_j = xi u_j
With u_j a unit vector and U can be in SU(2);
Re Tr h Sigma = 2 h_j Re Sigma_j = 2 xi (h.u)
4xi^2 = Det [ Sig - Sig^dag + 1 Tr Sigdag]
u = 1/2xi [ Sig - Sig^dag + 1 Tr Sigdag]
xi = sqrt(Det)/2;
Write a= u h in SU(2); a has pauli decomp a_j;
Note: Product b' xi is unvariant because scaling Sigma leaves
normalised vector "u" fixed; Can rescale Sigma so b' = 1.
*/
////////////////////////////////////////////////////////
// Real part of Pauli decomposition
// Note a subgroup can project to zero in cold start
////////////////////////////////////////////////////////
su2Extract(udet, u, V, su2_subgroup);
//////////////////////////////////////////////////////
// Normalising this vector if possible; else identity
//////////////////////////////////////////////////////
LatticeComplex xi(grid);
LatticeSU2Matrix lident(grid);
SU2Matrix ident = Complex(1.0);
SU2Matrix pauli1;
SU<2>::generator(0, pauli1);
SU2Matrix pauli2;
SU<2>::generator(1, pauli2);
SU2Matrix pauli3;
SU<2>::generator(2, pauli3);
pauli1 = timesI(pauli1) * 2.0;
pauli2 = timesI(pauli2) * 2.0;
pauli3 = timesI(pauli3) * 2.0;
LatticeComplex cone(grid);
LatticeReal adet(grid);
adet = abs(toReal(udet));
lident = Complex(1.0);
cone = Complex(1.0);
Real machine_epsilon = 1.0e-7;
u = where(adet > machine_epsilon, u, lident);
udet = where(adet > machine_epsilon, udet, cone);
xi = 0.5 * sqrt(udet); // 4xi^2 = Det [ Sig - Sig^dag + 1 Tr Sigdag]
u = 0.5 * u *
pow(xi, -1.0); // u = 1/2xi [ Sig - Sig^dag + 1 Tr Sigdag]
// Debug test for sanity
uinv = adj(u);
b = u * uinv - 1.0;
assert(norm2(b) < 1.0e-4);
/*
Measure: Haar measure dh has d^4a delta(1-|a^2|)
In polars:
da = da0 r^2 sin theta dr dtheta dphi delta( 1 - r^2 -a0^2)
= da0 r^2 sin theta dr dtheta dphi delta( (sqrt(1-a0^) - r)(sqrt(1-a0^) +
r) )
= da0 r/2 sin theta dr dtheta dphi delta( (sqrt(1-a0^) - r) )
Action factor Q(h) dh = e^-S[h] dh = e^{ xi Tr uh} dh // beta enters
through xi
= e^{2 xi (h.u)} dh
= e^{2 xi h0u0}.e^{2 xi h1u1}.e^{2 xi
h2u2}.e^{2 xi h3u3} dh
Therefore for each site, take xi for that site
i) generate |a0|<1 with dist
(1-a0^2)^0.5 e^{2 xi a0 } da0
Take alpha = 2 xi = 2 xi [ recall 2 beta/Nc unmod staple norm]; hence 2.0/Nc
factor in Chroma ]
A. Generate two uniformly distributed pseudo-random numbers R and R', R'',
R''' in the unit interval;
B. Set X = -(ln R)/alpha, X' =-(ln R')/alpha;
C. Set C = cos^2(2pi R"), with R" another uniform random number in [0,1] ;
D. Set A = XC;
E. Let d = X'+A;
F. If R'''^2 :> 1 - 0.5 d, go back to A;
G. Set a0 = 1 - d;
Note that in step D setting B ~ X - A and using B in place of A in step E will
generate a second independent a 0 value.
*/
/////////////////////////////////////////////////////////
// count the number of sites by picking "1"'s out of hat
/////////////////////////////////////////////////////////
Integer hit = 0;
LatticeReal rtmp(grid);
rtmp = where(wheremask, rones, rzeros);
RealD numSites = sum(rtmp);
RealD numAccepted;
LatticeInteger Accepted(grid);
Accepted = Zero();
LatticeInteger newlyAccepted(grid);
std::vector<LatticeReal> xr(4, grid);
std::vector<LatticeReal> a(4, grid);
LatticeReal d(grid);
d = Zero();
LatticeReal alpha(grid);
// std::cout<<GridLogMessage<<"xi "<<xi <<std::endl;
xi = 2.0 *xi;
alpha = toReal(xi);
do {
// A. Generate two uniformly distributed pseudo-random numbers R and R',
// R'', R''' in the unit interval;
random(pRNG, xr[0]);
random(pRNG, xr[1]);
random(pRNG, xr[2]);
random(pRNG, xr[3]);
// B. Set X = - ln R/alpha, X' = -ln R'/alpha
xr[1] = -log(xr[1]) / alpha;
xr[2] = -log(xr[2]) / alpha;
// C. Set C = cos^2(2piR'')
xr[3] = cos(xr[3] * twopi);
xr[3] = xr[3] * xr[3];
LatticeReal xrsq(grid);
// D. Set A = XC;
// E. Let d = X'+A;
xrsq = xr[2] + xr[1] * xr[3];
d = where(Accepted, d, xr[2] + xr[1] * xr[3]);
// F. If R'''^2 :> 1 - 0.5 d, go back to A;
LatticeReal thresh(grid);
thresh = 1.0 - d * 0.5;
xrsq = xr[0] * xr[0];
LatticeInteger ione(grid);
ione = 1;
LatticeInteger izero(grid);
izero = Zero();
newlyAccepted = where(xrsq < thresh, ione, izero);
Accepted = where(newlyAccepted, newlyAccepted, Accepted);
Accepted = where(wheremask, Accepted, izero);
// FIXME need an iSum for integer to avoid overload on return type??
rtmp = where(Accepted, rones, rzeros);
numAccepted = sum(rtmp);
hit++;
} while ((numAccepted < numSites) && (hit < nheatbath));
// G. Set a0 = 1 - d;
a[0] = Zero();
a[0] = where(wheremask, 1.0 - d, a[0]);
//////////////////////////////////////////
// ii) generate a_i uniform on two sphere radius (1-a0^2)^0.5
//////////////////////////////////////////
LatticeReal a123mag(grid);
a123mag = sqrt(abs(1.0 - a[0] * a[0]));
LatticeReal cos_theta(grid);
LatticeReal sin_theta(grid);
LatticeReal phi(grid);
random(pRNG, phi);
phi = phi * twopi; // uniform in [0,2pi]
random(pRNG, cos_theta);
cos_theta = (cos_theta * 2.0) - 1.0; // uniform in [-1,1]
sin_theta = sqrt(abs(1.0 - cos_theta * cos_theta));
a[1] = a123mag * sin_theta * cos(phi);
a[2] = a123mag * sin_theta * sin(phi);
a[3] = a123mag * cos_theta;
ua = toComplex(a[0]) * ident + toComplex(a[1]) * pauli1 +
toComplex(a[2]) * pauli2 + toComplex(a[3]) * pauli3;
b = 1.0;
b = where(wheremask, uinv * ua, b);
su2Insert(b, V, su2_subgroup);
// mask the assignment back based on Accptance
link = where(Accepted, V * link, link);
//////////////////////////////
// Debug Checks
// SU2 check
LatticeSU2Matrix check(grid); // rotated matrix after hb
u = Zero();
check = ua * adj(ua) - 1.0;
check = where(Accepted, check, u);
assert(norm2(check) < 1.0e-4);
check = b * adj(b) - 1.0;
check = where(Accepted, check, u);
assert(norm2(check) < 1.0e-4);
LatticeMatrix Vcheck(grid);
Vcheck = Zero();
Vcheck = where(Accepted, V * adj(V) - 1.0, Vcheck);
// std::cout<<GridLogMessage << "SU3 check " <<norm2(Vcheck)<<std::endl;
assert(norm2(Vcheck) < 1.0e-4);
// Verify the link stays in SU(3)
// std::cout<<GridLogMessage <<"Checking the modified link"<<std::endl;
Vcheck = link * adj(link) - 1.0;
assert(norm2(Vcheck) < 1.0e-4);
/////////////////////////////////
}
static void printGenerators(void) {
for (int gen = 0; gen < AdjointDimension; gen++) {
Matrix ta;
generator(gen, ta);
std::cout << GridLogMessage << "Nc = " << ncolour << " t_" << gen
<< std::endl;
std::cout << GridLogMessage << ta << std::endl;
}
}
static void testGenerators(void) {
Matrix ta;
Matrix tb;
std::cout << GridLogMessage
<< "Fundamental - Checking trace ta tb is 0.5 delta_ab"
<< std::endl;
for (int a = 0; a < AdjointDimension; a++) {
for (int b = 0; b < AdjointDimension; b++) {
generator(a, ta);
generator(b, tb);
Complex tr = TensorRemove(trace(ta * tb));
std::cout << GridLogMessage << "(" << a << "," << b << ") = " << tr
<< std::endl;
if (a == b) assert(abs(tr - Complex(0.5)) < 1.0e-6);
if (a != b) assert(abs(tr) < 1.0e-6);
}
std::cout << GridLogMessage << std::endl;
}
std::cout << GridLogMessage << "Fundamental - Checking if hermitian"
<< std::endl;
for (int a = 0; a < AdjointDimension; a++) {
generator(a, ta);
std::cout << GridLogMessage << a << std::endl;
assert(norm2(ta - adj(ta)) < 1.0e-6);
}
std::cout << GridLogMessage << std::endl;
std::cout << GridLogMessage << "Fundamental - Checking if traceless"
<< std::endl;
for (int a = 0; a < AdjointDimension; a++) {
generator(a, ta);
Complex tr = TensorRemove(trace(ta));
std::cout << GridLogMessage << a << " " << std::endl;
assert(abs(tr) < 1.0e-6);
}
std::cout << GridLogMessage << std::endl;
}
// reunitarise??
template <typename LatticeMatrixType>
static void LieRandomize(GridParallelRNG &pRNG, LatticeMatrixType &out, double scale = 1.0)
{
GridBase *grid = out.Grid();
typedef typename LatticeMatrixType::vector_type vector_type;
typedef iSinglet<vector_type> vTComplexType;
typedef Lattice<vTComplexType> LatticeComplexType;
typedef typename GridTypeMapper<typename LatticeMatrixType::vector_object>::scalar_object MatrixType;
LatticeComplexType ca(grid);
LatticeMatrixType lie(grid);
LatticeMatrixType la(grid);
ComplexD ci(0.0, scale);
// ComplexD cone(1.0, 0.0);
MatrixType ta;
lie = Zero();
for (int a = 0; a < AdjointDimension; a++) {
random(pRNG, ca);
ca = (ca + conjugate(ca)) * 0.5;
ca = ca - 0.5;
generator(a, ta);
la = ci * ca * ta;
lie = lie + la; // e^{i la ta}
}
taExp(lie, out);
}
static void GaussianFundamentalLieAlgebraMatrix(GridParallelRNG &pRNG,
LatticeMatrix &out,
Real scale = 1.0) {
GridBase *grid = out.Grid();
LatticeReal ca(grid);
LatticeMatrix la(grid);
Complex ci(0.0, scale);
Matrix ta;
out = Zero();
for (int a = 0; a < AdjointDimension; a++) {
gaussian(pRNG, ca);
generator(a, ta);
la = toComplex(ca) * ta;
out += la;
}
out *= ci;
}
static void FundamentalLieAlgebraMatrix(const LatticeAlgebraVector &h,
LatticeMatrix &out,
Real scale = 1.0) {
conformable(h, out);
GridBase *grid = out.Grid();
LatticeMatrix la(grid);
Matrix ta;
out = Zero();
for (int a = 0; a < AdjointDimension; a++) {
generator(a, ta);
la = peekColour(h, a) * timesI(ta) * scale;
out += la;
}
}
/*
* Fundamental rep gauge xform
*/
template<typename Fundamental,typename GaugeMat>
static void GaugeTransformFundamental( Fundamental &ferm, GaugeMat &g){
GridBase *grid = ferm._grid;
conformable(grid,g._grid);
ferm = g*ferm;
}
/*
* Adjoint rep gauge xform
*/
template<typename Gimpl>
static void GaugeTransform(typename Gimpl::GaugeField &Umu, typename Gimpl::GaugeLinkField &g){
GridBase *grid = Umu.Grid();
conformable(grid,g.Grid());
typename Gimpl::GaugeLinkField U(grid);
typename Gimpl::GaugeLinkField ag(grid); ag = adj(g);
for(int mu=0;mu<Nd;mu++){
U= PeekIndex<LorentzIndex>(Umu,mu);
U = g*U*Gimpl::CshiftLink(ag, mu, 1); //BC-aware
PokeIndex<LorentzIndex>(Umu,U,mu);
}
}
template<typename Gimpl>
static void GaugeTransform( std::vector<typename Gimpl::GaugeLinkField> &U, typename Gimpl::GaugeLinkField &g){
GridBase *grid = g.Grid();
typename Gimpl::GaugeLinkField ag(grid); ag = adj(g);
for(int mu=0;mu<Nd;mu++){
U[mu] = g*U[mu]*Gimpl::CshiftLink(ag, mu, 1); //BC-aware
}
}
template<typename Gimpl>
static void RandomGaugeTransform(GridParallelRNG &pRNG, typename Gimpl::GaugeField &Umu, typename Gimpl::GaugeLinkField &g){
LieRandomize(pRNG,g,1.0);
GaugeTransform<Gimpl>(Umu,g);
}
// Projects the algebra components a lattice matrix (of dimension ncol*ncol -1 )
// inverse operation: FundamentalLieAlgebraMatrix
static void projectOnAlgebra(LatticeAlgebraVector &h_out, const LatticeMatrix &in, Real scale = 1.0) {
conformable(h_out, in);
h_out = Zero();
Matrix Ta;
for (int a = 0; a < AdjointDimension; a++) {
generator(a, Ta);
pokeColour(h_out, - 2.0 * (trace(timesI(Ta) * in)) * scale, a);
}
}
template <typename GaugeField>
static void HotConfiguration(GridParallelRNG &pRNG, GaugeField &out) {
typedef typename GaugeField::vector_type vector_type;
typedef iSUnMatrix<vector_type> vMatrixType;
typedef Lattice<vMatrixType> LatticeMatrixType;
LatticeMatrixType Umu(out.Grid());
LatticeMatrixType tmp(out.Grid());
for (int mu = 0; mu < Nd; mu++) {
// LieRandomize(pRNG, Umu, 1.0);
// PokeIndex<LorentzIndex>(out, Umu, mu);
gaussian(pRNG,Umu);
tmp = Ta(Umu);
taExp(tmp,Umu);
ProjectSUn(Umu);
PokeIndex<LorentzIndex>(out, Umu, mu);
}
}
template<typename GaugeField>
static void TepidConfiguration(GridParallelRNG &pRNG,GaugeField &out){
typedef typename GaugeField::vector_type vector_type;
typedef iSUnMatrix<vector_type> vMatrixType;
typedef Lattice<vMatrixType> LatticeMatrixType;
LatticeMatrixType Umu(out.Grid());
for(int mu=0;mu<Nd;mu++){
LieRandomize(pRNG,Umu,0.01);
PokeIndex<LorentzIndex>(out,Umu,mu);
}
}
template<typename GaugeField>
static void ColdConfiguration(GaugeField &out){
typedef typename GaugeField::vector_type vector_type;
typedef iSUnMatrix<vector_type> vMatrixType;
typedef Lattice<vMatrixType> LatticeMatrixType;
LatticeMatrixType Umu(out.Grid());
Umu=1.0;
for(int mu=0;mu<Nd;mu++){
PokeIndex<LorentzIndex>(out,Umu,mu);
}
}
template<typename GaugeField>
static void ColdConfiguration(GridParallelRNG &pRNG,GaugeField &out){
ColdConfiguration(out);
}
template<typename LatticeMatrixType>
static void taProj( const LatticeMatrixType &in, LatticeMatrixType &out){
out = Ta(in);
}
template <typename LatticeMatrixType>
static void taExp(const LatticeMatrixType &x, LatticeMatrixType &ex) {
typedef typename LatticeMatrixType::scalar_type ComplexType;
LatticeMatrixType xn(x.Grid());
RealD nfac = 1.0;
xn = x;
ex = xn + ComplexType(1.0); // 1+x
// Do a 12th order exponentiation
for (int i = 2; i <= 12; ++i) {
nfac = nfac / RealD(i); // 1/2, 1/2.3 ...
xn = xn * x; // x2, x3,x4....
ex = ex + xn * nfac; // x2/2!, x3/3!....
}
}
};
template<int N>
Lattice<iScalar<iScalar<iMatrix<vComplexD, N> > > > Inverse(const Lattice<iScalar<iScalar<iMatrix<vComplexD, N> > > > &Umu)
{
GridBase *grid=Umu.Grid();
auto lvol = grid->lSites();
Lattice<iScalar<iScalar<iMatrix<vComplexD, N> > > > ret(grid);
autoView(Umu_v,Umu,CpuRead);
autoView(ret_v,ret,CpuWrite);
thread_for(site,lvol,{
Eigen::MatrixXcd EigenU = Eigen::MatrixXcd::Zero(N,N);
Coordinate lcoor;
grid->LocalIndexToLocalCoor(site, lcoor);
iScalar<iScalar<iMatrix<ComplexD, N> > > Us;
iScalar<iScalar<iMatrix<ComplexD, N> > > Ui;
peekLocalSite(Us, Umu_v, lcoor);
for(int i=0;i<N;i++){
for(int j=0;j<N;j++){
EigenU(i,j) = Us()()(i,j);
}}
Eigen::MatrixXcd EigenUinv = EigenU.inverse();
for(int i=0;i<N;i++){
for(int j=0;j<N;j++){
Ui()()(i,j) = EigenUinv(i,j);
}}
pokeLocalSite(Ui,ret_v,lcoor);
});
return ret;
}
// Explicit specialisation for SU(3).
// Explicit specialisation for SU(3).
static void
ProjectSU3 (Lattice<iScalar<iScalar<iMatrix<vComplexD, 3> > > > &Umu)
{
GridBase *grid=Umu.Grid();
const int x=0;
const int y=1;
const int z=2;
// Reunitarise
Umu = ProjectOnGroup(Umu);
autoView(Umu_v,Umu,CpuWrite);
thread_for(ss,grid->oSites(),{
auto cm = Umu_v[ss];
cm()()(2,x) = adj(cm()()(0,y)*cm()()(1,z)-cm()()(0,z)*cm()()(1,y)); //x= yz-zy
cm()()(2,y) = adj(cm()()(0,z)*cm()()(1,x)-cm()()(0,x)*cm()()(1,z)); //y= zx-xz
cm()()(2,z) = adj(cm()()(0,x)*cm()()(1,y)-cm()()(0,y)*cm()()(1,x)); //z= xy-yx
Umu_v[ss]=cm;
});
}
static void ProjectSU3(Lattice<iVector<iScalar<iMatrix<vComplexD, 3> >,Nd> > &U)
{
GridBase *grid=U.Grid();
// Reunitarise
for(int mu=0;mu<Nd;mu++){
auto Umu = PeekIndex<LorentzIndex>(U,mu);
Umu = ProjectOnGroup(Umu);
ProjectSU3(Umu);
PokeIndex<LorentzIndex>(U,Umu,mu);
}
}
typedef SU<2> SU2;
typedef SU<3> SU3;
typedef SU<4> SU4;
typedef SU<5> SU5;
typedef SU<Nc> FundamentalMatrices;
NAMESPACE_END(Grid);
#endif

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@ -1,578 +0,0 @@
// This file is #included into the body of the class template definition of
// GaugeGroup. So, image there to be
//
// template <int ncolour, class group_name>
// class GaugeGroup {
//
// around it.
//
// Please note that the unconventional file extension makes sure that it
// doesn't get found by the scripts/filelist during bootstrapping.
private:
template <ONLY_IF_SU>
static int su2subgroups(GroupName::SU) { return (ncolour * (ncolour - 1)) / 2; }
////////////////////////////////////////////////////////////////////////
// There are N^2-1 generators for SU(N).
//
// We take a traceless hermitian generator basis as follows
//
// * Normalisation: trace ta tb = 1/2 delta_ab = T_F delta_ab
// T_F = 1/2 for SU(N) groups
//
// * Off diagonal
// - pairs of rows i1,i2 behaving like pauli matrices signma_x, sigma_y
//
// - there are (Nc-1-i1) slots for i2 on each row [ x 0 x ]
// direct count off each row
//
// - Sum of all pairs is Nc(Nc-1)/2: proof arithmetic series
//
// (Nc-1) + (Nc-2)+... 1 ==> Nc*(Nc-1)/2
// 1+ 2+ + + Nc-1
//
// - There are 2 x Nc (Nc-1)/ 2 of these = Nc^2 - Nc
//
// - We enumerate the row-col pairs.
// - for each row col pair there is a (sigma_x) and a (sigma_y) like
// generator
//
//
// t^a_ij = { in 0.. Nc(Nc-1)/2 -1} => 1/2(delta_{i,i1} delta_{j,i2} +
// delta_{i,i1} delta_{j,i2})
// t^a_ij = { in Nc(Nc-1)/2 ... Nc(Nc-1) - 1} => i/2( delta_{i,i1}
// delta_{j,i2} - i delta_{i,i1} delta_{j,i2})
//
// * Diagonal; must be traceless and normalised
// - Sequence is
// N (1,-1,0,0...)
// N (1, 1,-2,0...)
// N (1, 1, 1,-3,0...)
// N (1, 1, 1, 1,-4,0...)
//
// where 1/2 = N^2 (1+.. m^2)etc.... for the m-th diagonal generator
// NB this gives the famous SU3 result for su2 index 8
//
// N= sqrt(1/2 . 1/6 ) = 1/2 . 1/sqrt(3)
//
// ( 1 )
// ( 1 ) / sqrt(3) /2 = 1/2 lambda_8
// ( -2)
//
////////////////////////////////////////////////////////////////////////
template <class cplx, ONLY_IF_SU>
static void generator(int lieIndex, iGroupMatrix<cplx> &ta, GroupName::SU) {
// map lie index to which type of generator
int diagIndex;
int su2Index;
int sigxy;
int NNm1 = ncolour * (ncolour - 1);
if (lieIndex >= NNm1) {
diagIndex = lieIndex - NNm1;
generatorDiagonal(diagIndex, ta);
return;
}
sigxy = lieIndex & 0x1; // even or odd
su2Index = lieIndex >> 1;
if (sigxy)
generatorSigmaY(su2Index, ta);
else
generatorSigmaX(su2Index, ta);
}
template <class cplx, ONLY_IF_SU>
static void generatorSigmaY(int su2Index, iGroupMatrix<cplx> &ta) {
ta = Zero();
int i1, i2;
su2SubGroupIndex(i1, i2, su2Index);
ta()()(i1, i2) = 1.0;
ta()()(i2, i1) = 1.0;
ta = ta * 0.5;
}
template <class cplx, ONLY_IF_SU>
static void generatorSigmaX(int su2Index, iGroupMatrix<cplx> &ta) {
ta = Zero();
cplx i(0.0, 1.0);
int i1, i2;
su2SubGroupIndex(i1, i2, su2Index);
ta()()(i1, i2) = i;
ta()()(i2, i1) = -i;
ta = ta * 0.5;
}
template <class cplx, ONLY_IF_SU>
static void generatorDiagonal(int diagIndex, iGroupMatrix<cplx> &ta) {
// diag ({1, 1, ..., 1}(k-times), -k, 0, 0, ...)
ta = Zero();
int k = diagIndex + 1; // diagIndex starts from 0
for (int i = 0; i <= diagIndex; i++) { // k iterations
ta()()(i, i) = 1.0;
}
ta()()(k, k) = -k; // indexing starts from 0
RealD nrm = 1.0 / std::sqrt(2.0 * k * (k + 1));
ta = ta * nrm;
}
////////////////////////////////////////////////////////////////////////
// Map a su2 subgroup number to the pair of rows that are non zero
////////////////////////////////////////////////////////////////////////
static void su2SubGroupIndex(int &i1, int &i2, int su2_index, GroupName::SU) {
assert((su2_index >= 0) && (su2_index < (ncolour * (ncolour - 1)) / 2));
int spare = su2_index;
for (i1 = 0; spare >= (ncolour - 1 - i1); i1++) {
spare = spare - (ncolour - 1 - i1); // remove the Nc-1-i1 terms
}
i2 = i1 + 1 + spare;
}
public:
//////////////////////////////////////////////////////////////////////////////////////////
// Pull out a subgroup and project on to real coeffs x pauli basis
//////////////////////////////////////////////////////////////////////////////////////////
template <class vcplx, ONLY_IF_SU>
static void su2Extract(Lattice<iSinglet<vcplx> > &Determinant,
Lattice<iSU2Matrix<vcplx> > &subgroup,
const Lattice<iGroupMatrix<vcplx> > &source,
int su2_index) {
GridBase *grid(source.Grid());
conformable(subgroup, source);
conformable(subgroup, Determinant);
int i0, i1;
su2SubGroupIndex(i0, i1, su2_index);
autoView(subgroup_v, subgroup, AcceleratorWrite);
autoView(source_v, source, AcceleratorRead);
autoView(Determinant_v, Determinant, AcceleratorWrite);
accelerator_for(ss, grid->oSites(), 1, {
subgroup_v[ss]()()(0, 0) = source_v[ss]()()(i0, i0);
subgroup_v[ss]()()(0, 1) = source_v[ss]()()(i0, i1);
subgroup_v[ss]()()(1, 0) = source_v[ss]()()(i1, i0);
subgroup_v[ss]()()(1, 1) = source_v[ss]()()(i1, i1);
iSU2Matrix<vcplx> Sigma = subgroup_v[ss];
Sigma = Sigma - adj(Sigma) + trace(adj(Sigma));
subgroup_v[ss] = Sigma;
// this should be purely real
Determinant_v[ss] =
Sigma()()(0, 0) * Sigma()()(1, 1) - Sigma()()(0, 1) * Sigma()()(1, 0);
});
}
//////////////////////////////////////////////////////////////////////////////////////////
// Set matrix to one and insert a pauli subgroup
//////////////////////////////////////////////////////////////////////////////////////////
template <class vcplx, ONLY_IF_SU>
static void su2Insert(const Lattice<iSU2Matrix<vcplx> > &subgroup,
Lattice<iGroupMatrix<vcplx> > &dest, int su2_index) {
GridBase *grid(dest.Grid());
conformable(subgroup, dest);
int i0, i1;
su2SubGroupIndex(i0, i1, su2_index);
dest = 1.0; // start out with identity
autoView(dest_v, dest, AcceleratorWrite);
autoView(subgroup_v, subgroup, AcceleratorRead);
accelerator_for(ss, grid->oSites(), 1, {
dest_v[ss]()()(i0, i0) = subgroup_v[ss]()()(0, 0);
dest_v[ss]()()(i0, i1) = subgroup_v[ss]()()(0, 1);
dest_v[ss]()()(i1, i0) = subgroup_v[ss]()()(1, 0);
dest_v[ss]()()(i1, i1) = subgroup_v[ss]()()(1, 1);
});
}
///////////////////////////////////////////////
// Generate e^{ Re Tr Staple Link} dlink
//
// *** Note Staple should be appropriate linear compbination between all
// staples.
// *** If already by beta pass coefficient 1.0.
// *** This routine applies the additional 1/Nc factor that comes after trace
// in action.
//
///////////////////////////////////////////////
template <ONLY_IF_SU>
static void SubGroupHeatBath(
GridSerialRNG &sRNG, GridParallelRNG &pRNG,
RealD beta, // coeff multiplying staple in action (with no 1/Nc)
LatticeMatrix &link,
const LatticeMatrix &barestaple, // multiplied by action coeffs so th
int su2_subgroup, int nheatbath, LatticeInteger &wheremask) {
GridBase *grid = link.Grid();
const RealD twopi = 2.0 * M_PI;
LatticeMatrix staple(grid);
staple = barestaple * (beta / ncolour);
LatticeMatrix V(grid);
V = link * staple;
// Subgroup manipulation in the lie algebra space
LatticeSU2Matrix u(
grid); // Kennedy pendleton "u" real projected normalised Sigma
LatticeSU2Matrix uinv(grid);
LatticeSU2Matrix ua(grid); // a in pauli form
LatticeSU2Matrix b(grid); // rotated matrix after hb
// Some handy constant fields
LatticeComplex ones(grid);
ones = 1.0;
LatticeComplex zeros(grid);
zeros = Zero();
LatticeReal rones(grid);
rones = 1.0;
LatticeReal rzeros(grid);
rzeros = Zero();
LatticeComplex udet(grid); // determinant of real(staple)
LatticeInteger mask_true(grid);
mask_true = 1;
LatticeInteger mask_false(grid);
mask_false = 0;
/*
PLB 156 P393 (1985) (Kennedy and Pendleton)
Note: absorb "beta" into the def of sigma compared to KP paper; staple
passed to this routine has "beta" already multiplied in
Action linear in links h and of form:
beta S = beta Sum_p (1 - 1/Nc Re Tr Plaq )
Writing Sigma = 1/Nc (beta Sigma') where sum over staples is "Sigma' "
beta S = const - beta/Nc Re Tr h Sigma'
= const - Re Tr h Sigma
Decompose h and Sigma into (1, sigma_j) ; h_i real, h^2=1, Sigma_i complex
arbitrary.
Tr h Sigma = h_i Sigma_j Tr (sigma_i sigma_j) = h_i Sigma_j 2 delta_ij
Re Tr h Sigma = 2 h_j Re Sigma_j
Normalised re Sigma_j = xi u_j
With u_j a unit vector and U can be in SU(2);
Re Tr h Sigma = 2 h_j Re Sigma_j = 2 xi (h.u)
4xi^2 = Det [ Sig - Sig^dag + 1 Tr Sigdag]
u = 1/2xi [ Sig - Sig^dag + 1 Tr Sigdag]
xi = sqrt(Det)/2;
Write a= u h in SU(2); a has pauli decomp a_j;
Note: Product b' xi is unvariant because scaling Sigma leaves
normalised vector "u" fixed; Can rescale Sigma so b' = 1.
*/
////////////////////////////////////////////////////////
// Real part of Pauli decomposition
// Note a subgroup can project to zero in cold start
////////////////////////////////////////////////////////
su2Extract(udet, u, V, su2_subgroup);
//////////////////////////////////////////////////////
// Normalising this vector if possible; else identity
//////////////////////////////////////////////////////
LatticeComplex xi(grid);
LatticeSU2Matrix lident(grid);
SU2Matrix ident = Complex(1.0);
SU2Matrix pauli1;
GaugeGroup<2, GroupName::SU>::generator(0, pauli1);
SU2Matrix pauli2;
GaugeGroup<2, GroupName::SU>::generator(1, pauli2);
SU2Matrix pauli3;
GaugeGroup<2, GroupName::SU>::generator(2, pauli3);
pauli1 = timesI(pauli1) * 2.0;
pauli2 = timesI(pauli2) * 2.0;
pauli3 = timesI(pauli3) * 2.0;
LatticeComplex cone(grid);
LatticeReal adet(grid);
adet = abs(toReal(udet));
lident = Complex(1.0);
cone = Complex(1.0);
Real machine_epsilon = 1.0e-7;
u = where(adet > machine_epsilon, u, lident);
udet = where(adet > machine_epsilon, udet, cone);
xi = 0.5 * sqrt(udet); // 4xi^2 = Det [ Sig - Sig^dag + 1 Tr Sigdag]
u = 0.5 * u * pow(xi, -1.0); // u = 1/2xi [ Sig - Sig^dag + 1 Tr Sigdag]
// Debug test for sanity
uinv = adj(u);
b = u * uinv - 1.0;
assert(norm2(b) < 1.0e-4);
/*
Measure: Haar measure dh has d^4a delta(1-|a^2|)
In polars:
da = da0 r^2 sin theta dr dtheta dphi delta( 1 - r^2 -a0^2)
= da0 r^2 sin theta dr dtheta dphi delta( (sqrt(1-a0^) - r)(sqrt(1-a0^) +
r) )
= da0 r/2 sin theta dr dtheta dphi delta( (sqrt(1-a0^) - r) )
Action factor Q(h) dh = e^-S[h] dh = e^{ xi Tr uh} dh // beta
enters through xi = e^{2 xi (h.u)} dh = e^{2 xi h0u0}.e^{2 xi h1u1}.e^{2
xi h2u2}.e^{2 xi h3u3} dh
Therefore for each site, take xi for that site
i) generate |a0|<1 with dist
(1-a0^2)^0.5 e^{2 xi a0 } da0
Take alpha = 2 xi = 2 xi [ recall 2 beta/Nc unmod staple norm];
hence 2.0/Nc factor in Chroma ] A. Generate two uniformly distributed
pseudo-random numbers R and R', R'', R''' in the unit interval; B. Set X =
-(ln R)/alpha, X' =-(ln R')/alpha; C. Set C = cos^2(2pi R"), with R"
another uniform random number in [0,1] ; D. Set A = XC; E. Let d = X'+A;
F. If R'''^2 :> 1 - 0.5 d, go back to A;
G. Set a0 = 1 - d;
Note that in step D setting B ~ X - A and using B in place of A in step E
will generate a second independent a 0 value.
*/
/////////////////////////////////////////////////////////
// count the number of sites by picking "1"'s out of hat
/////////////////////////////////////////////////////////
Integer hit = 0;
LatticeReal rtmp(grid);
rtmp = where(wheremask, rones, rzeros);
RealD numSites = sum(rtmp);
RealD numAccepted;
LatticeInteger Accepted(grid);
Accepted = Zero();
LatticeInteger newlyAccepted(grid);
std::vector<LatticeReal> xr(4, grid);
std::vector<LatticeReal> a(4, grid);
LatticeReal d(grid);
d = Zero();
LatticeReal alpha(grid);
// std::cout<<GridLogMessage<<"xi "<<xi <<std::endl;
xi = 2.0 * xi;
alpha = toReal(xi);
do {
// A. Generate two uniformly distributed pseudo-random numbers R and R',
// R'', R''' in the unit interval;
random(pRNG, xr[0]);
random(pRNG, xr[1]);
random(pRNG, xr[2]);
random(pRNG, xr[3]);
// B. Set X = - ln R/alpha, X' = -ln R'/alpha
xr[1] = -log(xr[1]) / alpha;
xr[2] = -log(xr[2]) / alpha;
// C. Set C = cos^2(2piR'')
xr[3] = cos(xr[3] * twopi);
xr[3] = xr[3] * xr[3];
LatticeReal xrsq(grid);
// D. Set A = XC;
// E. Let d = X'+A;
xrsq = xr[2] + xr[1] * xr[3];
d = where(Accepted, d, xr[2] + xr[1] * xr[3]);
// F. If R'''^2 :> 1 - 0.5 d, go back to A;
LatticeReal thresh(grid);
thresh = 1.0 - d * 0.5;
xrsq = xr[0] * xr[0];
LatticeInteger ione(grid);
ione = 1;
LatticeInteger izero(grid);
izero = Zero();
newlyAccepted = where(xrsq < thresh, ione, izero);
Accepted = where(newlyAccepted, newlyAccepted, Accepted);
Accepted = where(wheremask, Accepted, izero);
// FIXME need an iSum for integer to avoid overload on return type??
rtmp = where(Accepted, rones, rzeros);
numAccepted = sum(rtmp);
hit++;
} while ((numAccepted < numSites) && (hit < nheatbath));
// G. Set a0 = 1 - d;
a[0] = Zero();
a[0] = where(wheremask, 1.0 - d, a[0]);
//////////////////////////////////////////
// ii) generate a_i uniform on two sphere radius (1-a0^2)^0.5
//////////////////////////////////////////
LatticeReal a123mag(grid);
a123mag = sqrt(abs(1.0 - a[0] * a[0]));
LatticeReal cos_theta(grid);
LatticeReal sin_theta(grid);
LatticeReal phi(grid);
random(pRNG, phi);
phi = phi * twopi; // uniform in [0,2pi]
random(pRNG, cos_theta);
cos_theta = (cos_theta * 2.0) - 1.0; // uniform in [-1,1]
sin_theta = sqrt(abs(1.0 - cos_theta * cos_theta));
a[1] = a123mag * sin_theta * cos(phi);
a[2] = a123mag * sin_theta * sin(phi);
a[3] = a123mag * cos_theta;
ua = toComplex(a[0]) * ident + toComplex(a[1]) * pauli1 +
toComplex(a[2]) * pauli2 + toComplex(a[3]) * pauli3;
b = 1.0;
b = where(wheremask, uinv * ua, b);
su2Insert(b, V, su2_subgroup);
// mask the assignment back based on Accptance
link = where(Accepted, V * link, link);
//////////////////////////////
// Debug Checks
// SU2 check
LatticeSU2Matrix check(grid); // rotated matrix after hb
u = Zero();
check = ua * adj(ua) - 1.0;
check = where(Accepted, check, u);
assert(norm2(check) < 1.0e-4);
check = b * adj(b) - 1.0;
check = where(Accepted, check, u);
assert(norm2(check) < 1.0e-4);
LatticeMatrix Vcheck(grid);
Vcheck = Zero();
Vcheck = where(Accepted, V * adj(V) - 1.0, Vcheck);
// std::cout<<GridLogMessage << "SU3 check " <<norm2(Vcheck)<<std::endl;
assert(norm2(Vcheck) < 1.0e-4);
// Verify the link stays in SU(3)
// std::cout<<GridLogMessage <<"Checking the modified link"<<std::endl;
Vcheck = link * adj(link) - 1.0;
assert(norm2(Vcheck) < 1.0e-4);
/////////////////////////////////
}
template <ONLY_IF_SU>
static void testGenerators(GroupName::SU) {
Matrix ta;
Matrix tb;
std::cout << GridLogMessage
<< "Fundamental - Checking trace ta tb is 0.5 delta_ab"
<< std::endl;
for (int a = 0; a < AdjointDimension; a++) {
for (int b = 0; b < AdjointDimension; b++) {
generator(a, ta);
generator(b, tb);
Complex tr = TensorRemove(trace(ta * tb));
std::cout << GridLogMessage << "(" << a << "," << b << ") = " << tr
<< std::endl;
if (a == b) assert(abs(tr - Complex(0.5)) < 1.0e-6);
if (a != b) assert(abs(tr) < 1.0e-6);
}
std::cout << GridLogMessage << std::endl;
}
std::cout << GridLogMessage << "Fundamental - Checking if hermitian"
<< std::endl;
for (int a = 0; a < AdjointDimension; a++) {
generator(a, ta);
std::cout << GridLogMessage << a << std::endl;
assert(norm2(ta - adj(ta)) < 1.0e-6);
}
std::cout << GridLogMessage << std::endl;
std::cout << GridLogMessage << "Fundamental - Checking if traceless"
<< std::endl;
for (int a = 0; a < AdjointDimension; a++) {
generator(a, ta);
Complex tr = TensorRemove(trace(ta));
std::cout << GridLogMessage << a << " " << std::endl;
assert(abs(tr) < 1.0e-6);
}
std::cout << GridLogMessage << std::endl;
}
template <int N, class vtype>
static Lattice<iScalar<iScalar<iMatrix<vtype, N> > > >
ProjectOnGeneralGroup(const Lattice<iScalar<iScalar<iMatrix<vtype, N> > > > &Umu, GroupName::SU) {
return ProjectOnGroup(Umu);
}
template <class vtype>
accelerator_inline static iScalar<vtype> ProjectOnGeneralGroup(const iScalar<vtype> &r, GroupName::SU) {
return ProjectOnGroup(r);
}
template <class vtype, int N>
accelerator_inline static iVector<vtype,N> ProjectOnGeneralGroup(const iVector<vtype,N> &r, GroupName::SU) {
return ProjectOnGroup(r);
}
template <class vtype,int N, typename std::enable_if< GridTypeMapper<vtype>::TensorLevel == 0 >::type * =nullptr>
accelerator_inline static iMatrix<vtype,N> ProjectOnGeneralGroup(const iMatrix<vtype,N> &arg, GroupName::SU) {
return ProjectOnGroup(arg);
}
template <typename LatticeMatrixType>
static void taProj(const LatticeMatrixType &in, LatticeMatrixType &out, GroupName::SU) {
out = Ta(in);
}
/*
* Fundamental rep gauge xform
*/
template<typename Fundamental,typename GaugeMat>
static void GaugeTransformFundamental( Fundamental &ferm, GaugeMat &g){
GridBase *grid = ferm._grid;
conformable(grid,g._grid);
ferm = g*ferm;
}
/*
* Adjoint rep gauge xform
*/
template<typename Gimpl>
static void GaugeTransform(typename Gimpl::GaugeField &Umu, typename Gimpl::GaugeLinkField &g){
GridBase *grid = Umu.Grid();
conformable(grid,g.Grid());
typename Gimpl::GaugeLinkField U(grid);
typename Gimpl::GaugeLinkField ag(grid); ag = adj(g);
for(int mu=0;mu<Nd;mu++){
U= PeekIndex<LorentzIndex>(Umu,mu);
U = g*U*Gimpl::CshiftLink(ag, mu, 1); //BC-aware
PokeIndex<LorentzIndex>(Umu,U,mu);
}
}
template<typename Gimpl>
static void GaugeTransform( std::vector<typename Gimpl::GaugeLinkField> &U, typename Gimpl::GaugeLinkField &g){
GridBase *grid = g.Grid();
typename Gimpl::GaugeLinkField ag(grid); ag = adj(g);
for(int mu=0;mu<Nd;mu++){
U[mu] = g*U[mu]*Gimpl::CshiftLink(ag, mu, 1); //BC-aware
}
}
template<typename Gimpl>
static void RandomGaugeTransform(GridParallelRNG &pRNG, typename Gimpl::GaugeField &Umu, typename Gimpl::GaugeLinkField &g){
LieRandomize(pRNG,g,1.0);
GaugeTransform<Gimpl>(Umu,g);
}

View File

@ -51,10 +51,6 @@ public:
typedef Lattice<iVector<iScalar<iMatrix<vComplexF, Dimension> >, Nd> > LatticeAdjFieldF;
typedef Lattice<iVector<iScalar<iMatrix<vComplexD, Dimension> >, Nd> > LatticeAdjFieldD;
template <typename vtype>
using iSUnMatrix = iScalar<iScalar<iMatrix<vtype, ncolour> > >;
typedef Lattice<iScalar<iScalar<iVector<vComplex, Dimension> > > > LatticeAdjVector;
template <class cplx>
@ -62,8 +58,8 @@ public:
// returns i(T_Adj)^index necessary for the projectors
// see definitions above
iAdjTa = Zero();
Vector<iSUnMatrix<cplx> > ta(ncolour * ncolour - 1);
iSUnMatrix<cplx> tmp;
Vector<typename SU<ncolour>::template iSUnMatrix<cplx> > ta(ncolour * ncolour - 1);
typename SU<ncolour>::template iSUnMatrix<cplx> tmp;
// FIXME not very efficient to get all the generators everytime
for (int a = 0; a < Dimension; a++) SU<ncolour>::generator(a, ta[a]);
@ -71,7 +67,8 @@ public:
for (int a = 0; a < Dimension; a++) {
tmp = ta[a] * ta[Index] - ta[Index] * ta[a];
for (int b = 0; b < (ncolour * ncolour - 1); b++) {
iSUnMatrix<cplx> tmp1 = 2.0 * tmp * ta[b]; // 2.0 from the normalization
typename SU<ncolour>::template iSUnMatrix<cplx> tmp1 =
2.0 * tmp * ta[b]; // 2.0 from the normalization
Complex iTr = TensorRemove(timesI(trace(tmp1)));
//iAdjTa()()(b, a) = iTr;
iAdjTa()()(a, b) = iTr;
@ -137,7 +134,8 @@ public:
for (int a = 0; a < Dimension; a++) {
generator(a, iTa);
pokeColour(h_out, real(trace(iTa * in)) * coefficient, a);
LatticeComplex tmp = real(trace(iTa * in)) * coefficient;
pokeColour(h_out, tmp, a);
}
}

View File

@ -0,0 +1,273 @@
////////////////////////////////////////////////////////////////////////
//
// * Two index representation generators
//
// * Normalisation for the fundamental generators:
// trace ta tb = 1/2 delta_ab = T_F delta_ab
// T_F = 1/2 for SU(N) groups
//
//
// base for NxN two index (anti-symmetric) matrices
// normalized to 1 (d_ij is the kroenecker delta)
//
// (e^(ij)_{kl} = 1 / sqrt(2) (d_ik d_jl +/- d_jk d_il)
//
// Then the generators are written as
//
// (iT_a)^(ij)(lk) = i * ( tr[e^(ij)^dag e^(lk) T^trasp_a] +
// tr[e^(lk)e^(ij)^dag T_a] ) //
//
//
////////////////////////////////////////////////////////////////////////
// Authors: David Preti, Guido Cossu
#ifndef QCD_UTIL_SUN2INDEX_H
#define QCD_UTIL_SUN2INDEX_H
NAMESPACE_BEGIN(Grid);
enum TwoIndexSymmetry { Symmetric = 1, AntiSymmetric = -1 };
inline Real delta(int a, int b) { return (a == b) ? 1.0 : 0.0; }
template <int ncolour, TwoIndexSymmetry S>
class SU_TwoIndex : public SU<ncolour> {
public:
static const int Dimension = ncolour * (ncolour + S) / 2;
static const int NumGenerators = SU<ncolour>::AdjointDimension;
template <typename vtype>
using iSUnTwoIndexMatrix = iScalar<iScalar<iMatrix<vtype, Dimension> > >;
typedef iSUnTwoIndexMatrix<Complex> TIMatrix;
typedef iSUnTwoIndexMatrix<ComplexF> TIMatrixF;
typedef iSUnTwoIndexMatrix<ComplexD> TIMatrixD;
typedef iSUnTwoIndexMatrix<vComplex> vTIMatrix;
typedef iSUnTwoIndexMatrix<vComplexF> vTIMatrixF;
typedef iSUnTwoIndexMatrix<vComplexD> vTIMatrixD;
typedef Lattice<vTIMatrix> LatticeTwoIndexMatrix;
typedef Lattice<vTIMatrixF> LatticeTwoIndexMatrixF;
typedef Lattice<vTIMatrixD> LatticeTwoIndexMatrixD;
typedef Lattice<iVector<iScalar<iMatrix<vComplex, Dimension> >, Nd> >
LatticeTwoIndexField;
typedef Lattice<iVector<iScalar<iMatrix<vComplexF, Dimension> >, Nd> >
LatticeTwoIndexFieldF;
typedef Lattice<iVector<iScalar<iMatrix<vComplexD, Dimension> >, Nd> >
LatticeTwoIndexFieldD;
template <typename vtype>
using iSUnMatrix = iScalar<iScalar<iMatrix<vtype, ncolour> > >;
typedef iSUnMatrix<Complex> Matrix;
typedef iSUnMatrix<ComplexF> MatrixF;
typedef iSUnMatrix<ComplexD> MatrixD;
template <class cplx>
static void base(int Index, iSUnMatrix<cplx> &eij) {
// returns (e)^(ij)_{kl} necessary for change of base U_F -> U_R
assert(Index < NumGenerators);
eij = Zero();
// for the linearisation of the 2 indexes
static int a[ncolour * (ncolour - 1) / 2][2]; // store the a <-> i,j
static bool filled = false;
if (!filled) {
int counter = 0;
for (int i = 1; i < ncolour; i++) {
for (int j = 0; j < i; j++) {
a[counter][0] = i;
a[counter][1] = j;
counter++;
}
}
filled = true;
}
if (Index < ncolour * (ncolour - 1) / 2) {
baseOffDiagonal(a[Index][0], a[Index][1], eij);
} else {
baseDiagonal(Index, eij);
}
}
template <class cplx>
static void baseDiagonal(int Index, iSUnMatrix<cplx> &eij) {
eij = Zero();
eij()()(Index - ncolour * (ncolour - 1) / 2,
Index - ncolour * (ncolour - 1) / 2) = 1.0;
}
template <class cplx>
static void baseOffDiagonal(int i, int j, iSUnMatrix<cplx> &eij) {
eij = Zero();
for (int k = 0; k < ncolour; k++)
for (int l = 0; l < ncolour; l++)
eij()()(l, k) = delta(i, k) * delta(j, l) +
S * delta(j, k) * delta(i, l);
RealD nrm = 1. / std::sqrt(2.0);
eij = eij * nrm;
}
static void printBase(void) {
for (int gen = 0; gen < Dimension; gen++) {
Matrix tmp;
base(gen, tmp);
std::cout << GridLogMessage << "Nc = " << ncolour << " t_" << gen
<< std::endl;
std::cout << GridLogMessage << tmp << std::endl;
}
}
template <class cplx>
static void generator(int Index, iSUnTwoIndexMatrix<cplx> &i2indTa) {
Vector<typename SU<ncolour>::template iSUnMatrix<cplx> > ta(
ncolour * ncolour - 1);
Vector<typename SU<ncolour>::template iSUnMatrix<cplx> > eij(Dimension);
typename SU<ncolour>::template iSUnMatrix<cplx> tmp;
i2indTa = Zero();
for (int a = 0; a < ncolour * ncolour - 1; a++)
SU<ncolour>::generator(a, ta[a]);
for (int a = 0; a < Dimension; a++) base(a, eij[a]);
for (int a = 0; a < Dimension; a++) {
tmp = transpose(ta[Index]) * adj(eij[a]) + adj(eij[a]) * ta[Index];
for (int b = 0; b < Dimension; b++) {
typename SU<ncolour>::template iSUnMatrix<cplx> tmp1 =
tmp * eij[b];
Complex iTr = TensorRemove(timesI(trace(tmp1)));
i2indTa()()(a, b) = iTr;
}
}
}
static void printGenerators(void) {
for (int gen = 0; gen < ncolour * ncolour - 1; gen++) {
TIMatrix i2indTa;
generator(gen, i2indTa);
std::cout << GridLogMessage << "Nc = " << ncolour << " t_" << gen
<< std::endl;
std::cout << GridLogMessage << i2indTa << std::endl;
}
}
static void testGenerators(void) {
TIMatrix i2indTa, i2indTb;
std::cout << GridLogMessage << "2IndexRep - Checking if traceless"
<< std::endl;
for (int a = 0; a < ncolour * ncolour - 1; a++) {
generator(a, i2indTa);
std::cout << GridLogMessage << a << std::endl;
assert(norm2(trace(i2indTa)) < 1.0e-6);
}
std::cout << GridLogMessage << std::endl;
std::cout << GridLogMessage << "2IndexRep - Checking if antihermitean"
<< std::endl;
for (int a = 0; a < ncolour * ncolour - 1; a++) {
generator(a, i2indTa);
std::cout << GridLogMessage << a << std::endl;
assert(norm2(adj(i2indTa) + i2indTa) < 1.0e-6);
}
std::cout << GridLogMessage << std::endl;
std::cout << GridLogMessage
<< "2IndexRep - Checking Tr[Ta*Tb]=delta(a,b)*(N +- 2)/2"
<< std::endl;
for (int a = 0; a < ncolour * ncolour - 1; a++) {
for (int b = 0; b < ncolour * ncolour - 1; b++) {
generator(a, i2indTa);
generator(b, i2indTb);
// generator returns iTa, so we need a minus sign here
Complex Tr = -TensorRemove(trace(i2indTa * i2indTb));
std::cout << GridLogMessage << "a=" << a << "b=" << b << "Tr=" << Tr
<< std::endl;
}
}
std::cout << GridLogMessage << std::endl;
}
static void TwoIndexLieAlgebraMatrix(
const typename SU<ncolour>::LatticeAlgebraVector &h,
LatticeTwoIndexMatrix &out, Real scale = 1.0) {
conformable(h, out);
GridBase *grid = out.Grid();
LatticeTwoIndexMatrix la(grid);
TIMatrix i2indTa;
out = Zero();
for (int a = 0; a < ncolour * ncolour - 1; a++) {
generator(a, i2indTa);
la = peekColour(h, a) * i2indTa;
out += la;
}
out *= scale;
}
// Projects the algebra components
// of a lattice matrix ( of dimension ncol*ncol -1 )
static void projectOnAlgebra(
typename SU<ncolour>::LatticeAlgebraVector &h_out,
const LatticeTwoIndexMatrix &in, Real scale = 1.0) {
conformable(h_out, in);
h_out = Zero();
TIMatrix i2indTa;
Real coefficient = -2.0 / (ncolour + 2 * S) * scale;
// 2/(Nc +/- 2) for the normalization of the trace in the two index rep
for (int a = 0; a < ncolour * ncolour - 1; a++) {
generator(a, i2indTa);
auto tmp = real(trace(i2indTa * in)) * coefficient;
pokeColour(h_out, tmp, a);
}
}
// a projector that keeps the generators stored to avoid the overhead of
// recomputing them
static void projector(typename SU<ncolour>::LatticeAlgebraVector &h_out,
const LatticeTwoIndexMatrix &in, Real scale = 1.0) {
conformable(h_out, in);
// to store the generators
static std::vector<TIMatrix> i2indTa(ncolour * ncolour -1);
h_out = Zero();
static bool precalculated = false;
if (!precalculated) {
precalculated = true;
for (int a = 0; a < ncolour * ncolour - 1; a++) generator(a, i2indTa[a]);
}
Real coefficient =
-2.0 / (ncolour + 2 * S) * scale; // 2/(Nc +/- 2) for the normalization
// of the trace in the two index rep
for (int a = 0; a < ncolour * ncolour - 1; a++) {
auto tmp = real(trace(i2indTa[a] * in)) * coefficient;
pokeColour(h_out, tmp, a);
}
}
};
// Some useful type names
typedef SU_TwoIndex<Nc, Symmetric> TwoIndexSymmMatrices;
typedef SU_TwoIndex<Nc, AntiSymmetric> TwoIndexAntiSymmMatrices;
typedef SU_TwoIndex<2, Symmetric> SU2TwoIndexSymm;
typedef SU_TwoIndex<3, Symmetric> SU3TwoIndexSymm;
typedef SU_TwoIndex<4, Symmetric> SU4TwoIndexSymm;
typedef SU_TwoIndex<5, Symmetric> SU5TwoIndexSymm;
typedef SU_TwoIndex<2, AntiSymmetric> SU2TwoIndexAntiSymm;
typedef SU_TwoIndex<3, AntiSymmetric> SU3TwoIndexAntiSymm;
typedef SU_TwoIndex<4, AntiSymmetric> SU4TwoIndexAntiSymm;
typedef SU_TwoIndex<5, AntiSymmetric> SU5TwoIndexAntiSymm;
NAMESPACE_END(Grid);
#endif

View File

@ -1,317 +0,0 @@
// This file is #included into the body of the class template definition of
// GaugeGroup. So, image there to be
//
// template <int ncolour, class group_name>
// class GaugeGroup {
//
// around it.
//
// Please note that the unconventional file extension makes sure that it
// doesn't get found by the scripts/filelist during bootstrapping.
private:
template <ONLY_IF_Sp>
static int su2subgroups(GroupName::Sp) { return (ncolour/2 * (ncolour/2 - 1)) / 2; }
// Sp(2N) has N(2N+1) = 2N^2+N generators
//
// normalise the generators such that
// Trace ( Ta Tb) = 1/2 delta_ab
//
// N generators in the cartan, 2N^2 off
// off diagonal:
// there are 6 types named a,b,c,d and w,z
// abcd are N(N-1)/2 each while wz are N each
template <class cplx, ONLY_IF_Sp>
static void generator(int lieIndex, iGroupMatrix<cplx> &ta, GroupName::Sp) {
// map lie index into type of generators: diagonal, abcd type, wz type
const int nsp = ncolour/2;
int diagIndex;
int aIndex, bIndex, cIndex, dIndex;
int wIndex, zIndex; // a,b,c,d are N(N-1)/2 and w,z are N
const int mod = nsp * (nsp - 1) * 0.5;
const int offdiag =
2 * nsp * nsp; // number of generators not in the cartan subalgebra
const int wmod = 4 * mod;
const int zmod = wmod + nsp;
if (lieIndex >= offdiag) {
diagIndex = lieIndex - offdiag; // 0, ... ,N-1
// std::cout << GridLogMessage << "diag type " << std::endl;
generatorDiagtype(diagIndex, ta);
return;
}
if ((lieIndex >= wmod) && (lieIndex < zmod)) {
// std::cout << GridLogMessage << "w type " << std::endl;
wIndex = lieIndex - wmod; // 0, ... ,N-1
generatorWtype(wIndex, ta);
return;
}
if ((lieIndex >= zmod) && (lieIndex < offdiag)) {
// std::cout << GridLogMessage << "z type " << std::endl;
// std::cout << GridLogMessage << "lie index " << lieIndex << std::endl;
// std::cout << GridLogMessage << "z mod " << zmod << std::endl;
zIndex = lieIndex - zmod; // 0, ... ,N-1
generatorZtype(zIndex, ta);
return;
}
if (lieIndex < mod) { // atype 0, ... , N(N-1)/2=mod
// std::cout << GridLogMessage << "a type " << std::endl;
aIndex = lieIndex;
// std::cout << GridLogMessage << "a indx " << aIndex << std::endl;
generatorAtype(aIndex, ta);
return;
}
if ((lieIndex >= mod) && lieIndex < 2 * mod) { // btype mod, ... , 2mod-1
// std::cout << GridLogMessage << "b type " << std::endl;
bIndex = lieIndex - mod;
generatorBtype(bIndex, ta);
return;
}
if ((lieIndex >= 2 * mod) &&
lieIndex < 3 * mod) { // ctype 2mod, ... , 3mod-1
// std::cout << GridLogMessage << "c type " << std::endl;
cIndex = lieIndex - 2 * mod;
generatorCtype(cIndex, ta);
return;
}
if ((lieIndex >= 3 * mod) &&
lieIndex < wmod) { // ctype 3mod, ... , 4mod-1 = wmod-1
// std::cout << GridLogMessage << "d type " << std::endl;
dIndex = lieIndex - 3 * mod;
generatorDtype(dIndex, ta);
return;
}
} // end of generator
template <class cplx, ONLY_IF_Sp>
static void generatorDiagtype(int diagIndex, iGroupMatrix<cplx> &ta) {
// ta(i,i) = - ta(i+N,i+N) = 1/2 for each i index of the cartan subalgebra
const int nsp=ncolour/2;
ta = Zero();
RealD nrm = 1.0 / 2;
ta()()(diagIndex, diagIndex) = nrm;
ta()()(diagIndex + nsp, diagIndex + nsp) = -nrm;
}
template <class cplx, ONLY_IF_Sp>
static void generatorAtype(int aIndex, iGroupMatrix<cplx> &ta) {
// ta(i,j) = ta(j,i) = -ta(i+N,j+N) = -ta(j+N,i+N) = 1 / 2 sqrt(2)
// with i<j and i=0,...,N-2
// follows that j=i+1, ... , N
int i1, i2;
const int nsp=ncolour/2;
ta = Zero();
RealD nrm = 1 / (2 * std::sqrt(2));
su2SubGroupIndex(i1, i2, aIndex);
ta()()(i1, i2) = 1;
ta()()(i2, i1) = 1;
ta()()(i1 + nsp, i2 + nsp) = -1;
ta()()(i2 + nsp, i1 + nsp) = -1;
ta = ta * nrm;
}
template <class cplx, ONLY_IF_Sp>
static void generatorBtype(int bIndex, iGroupMatrix<cplx> &ta) {
// ta(i,j) = -ta(j,i) = ta(i+N,j+N) = -ta(j+N,i+N) = i / 1/ 2 sqrt(2)
// with i<j and i=0,...,N-2
// follows that j=i+1, ... , N-1
const int nsp=ncolour/2;
int i1, i2;
ta = Zero();
cplx i(0.0, 1.0);
RealD nrm = 1 / (2 * std::sqrt(2));
su2SubGroupIndex(i1, i2, bIndex);
ta()()(i1, i2) = i;
ta()()(i2, i1) = -i;
ta()()(i1 + nsp, i2 + nsp) = i;
ta()()(i2 + nsp, i1 + nsp) = -i;
ta = ta * nrm;
}
template <class cplx, ONLY_IF_Sp>
static void generatorCtype(int cIndex, iGroupMatrix<cplx> &ta) {
// ta(i,j+N) = ta(j,i+N) = ta(i+N,j) = ta(j+N,i) = 1 / 2 sqrt(2)
const int nsp=ncolour/2;
int i1, i2;
ta = Zero();
RealD nrm = 1 / (2 * std::sqrt(2));
su2SubGroupIndex(i1, i2, cIndex);
ta()()(i1, i2 + nsp) = 1;
ta()()(i2, i1 + nsp) = 1;
ta()()(i1 + nsp, i2) = 1;
ta()()(i2 + nsp, i1) = 1;
ta = ta * nrm;
}
template <class cplx, ONLY_IF_Sp>
static void generatorDtype(int dIndex, iGroupMatrix<cplx> &ta) {
// ta(i,j+N) = ta(j,i+N) = -ta(i+N,j) = -ta(j+N,i) = i / 2 sqrt(2)
const int nsp=ncolour/2;
int i1, i2;
ta = Zero();
cplx i(0.0, 1.0);
RealD nrm = 1 / (2 * std::sqrt(2));
su2SubGroupIndex(i1, i2, dIndex);
ta()()(i1, i2 + nsp) = i;
ta()()(i2, i1 + nsp) = i;
ta()()(i1 + nsp, i2) = -i;
ta()()(i2 + nsp, i1) = -i;
ta = ta * nrm;
}
template <class cplx, ONLY_IF_Sp>
static void generatorWtype(int wIndex, iGroupMatrix<cplx> &ta) {
// ta(i,i+N) = ta(i+N,i) = 1/2
const int nsp=ncolour/2;
ta = Zero();
RealD nrm = 1.0 / 2; // check
ta()()(wIndex, wIndex + nsp) = 1;
ta()()(wIndex + nsp, wIndex) = 1;
ta = ta * nrm;
}
template <class cplx, ONLY_IF_Sp>
static void generatorZtype(int zIndex, iGroupMatrix<cplx> &ta) {
// ta(i,i+N) = - ta(i+N,i) = i/2
const int nsp=ncolour/2;
ta = Zero();
RealD nrm = 1.0 / 2; // check
cplx i(0.0, 1.0);
ta()()(zIndex, zIndex + nsp) = i;
ta()()(zIndex + nsp, zIndex) = -i;
ta = ta * nrm;
}
////////////////////////////////////////////////////////////////////////
// Map a su2 subgroup number to the pair of rows that are non zero
////////////////////////////////////////////////////////////////////////
template <ONLY_IF_Sp>
static void su2SubGroupIndex(int &i1, int &i2, int su2_index, GroupName::Sp) {
const int nsp=ncolour/2;
assert((su2_index >= 0) && (su2_index < (nsp * (nsp - 1)) / 2));
int spare = su2_index;
for (i1 = 0; spare >= (nsp - 1 - i1); i1++) {
spare = spare - (nsp - 1 - i1); // remove the Nc-1-i1 terms
}
i2 = i1 + 1 + spare;
}
static void testGenerators(GroupName::Sp) {
Matrix ta;
Matrix tb;
std::cout << GridLogMessage
<< "Fundamental - Checking trace ta tb is 0.5 delta_ab "
<< std::endl;
for (int a = 0; a < AlgebraDimension; a++) {
for (int b = 0; b < AlgebraDimension; b++) {
generator(a, ta);
generator(b, tb);
Complex tr = TensorRemove(trace(ta * tb));
std::cout << GridLogMessage << "(" << a << "," << b << ") = " << tr
<< std::endl;
if (a == b) assert(abs(tr - Complex(0.5)) < 1.0e-6);
if (a != b) assert(abs(tr) < 1.0e-6);
}
}
std::cout << GridLogMessage << std::endl;
std::cout << GridLogMessage << "Fundamental - Checking if hermitian"
<< std::endl;
for (int a = 0; a < AlgebraDimension; a++) {
generator(a, ta);
std::cout << GridLogMessage << a << std::endl;
assert(norm2(ta - adj(ta)) < 1.0e-6);
}
std::cout << GridLogMessage << std::endl;
std::cout << GridLogMessage << "Fundamental - Checking if traceless"
<< std::endl;
for (int a = 0; a < AlgebraDimension; a++) {
generator(a, ta);
Complex tr = TensorRemove(trace(ta));
std::cout << GridLogMessage << a << std::endl;
assert(abs(tr) < 1.0e-6);
}
}
template <int N>
static Lattice<iScalar<iScalar<iMatrix<vComplexD, N> > > >
ProjectOnGeneralGroup(const Lattice<iScalar<iScalar<iMatrix<vComplexD, N> > > > &Umu, GroupName::Sp) {
return ProjectOnSpGroup(Umu);
}
template <class vtype>
accelerator_inline static iScalar<vtype> ProjectOnGeneralGroup(const iScalar<vtype> &r, GroupName::Sp) {
return ProjectOnSpGroup(r);
}
template <class vtype, int N>
accelerator_inline static iVector<vtype,N> ProjectOnGeneralGroup(const iVector<vtype,N> &r, GroupName::Sp) {
return ProjectOnSpGroup(r);
}
template <class vtype,int N, typename std::enable_if< GridTypeMapper<vtype>::TensorLevel == 0 >::type * =nullptr>
accelerator_inline static iMatrix<vtype,N> ProjectOnGeneralGroup(const iMatrix<vtype,N> &arg, GroupName::Sp) {
return ProjectOnSpGroup(arg);
}
template <typename LatticeMatrixType>
static void taProj(const LatticeMatrixType &in, LatticeMatrixType &out, GroupName::Sp) {
out = SpTa(in);
}
public:
template <ONLY_IF_Sp>
static void Omega(LatticeColourMatrixD &in) {
const int nsp=ncolour/2;
LatticeColourMatrixD OmegaLatt(in.Grid());
LatticeColourMatrixD identity(in.Grid());
ColourMatrix Omega;
OmegaLatt = Zero();
Omega = Zero();
identity = 1.;
for (int i = 0; i < nsp; i++) {
Omega()()(i, nsp + i) = 1.;
Omega()()(nsp + i, i) = -1;
}
OmegaLatt = OmegaLatt + (identity * Omega);
in = OmegaLatt;
}
template <ONLY_IF_Sp, class vtype, int N>
static void Omega(iScalar<iScalar<iMatrix<vtype, N> > > &in) {
const int nsp=ncolour/2;
iScalar<iScalar<iMatrix<vtype, N> > > Omega;
Omega = Zero();
for (int i = 0; i < nsp; i++) {
Omega()()(i, nsp + i) = 1.;
Omega()()(nsp + i, i) = -1;
}
in = Omega;
}

View File

@ -8,9 +8,9 @@
#include <Grid/qcd/utils/ScalarObjs.h>
// Include representations
#include <Grid/qcd/utils/GaugeGroup.h>
#include <Grid/qcd/utils/SUn.h>
#include <Grid/qcd/utils/SUnAdjoint.h>
#include <Grid/qcd/utils/GaugeGroupTwoIndex.h>
#include <Grid/qcd/utils/SUnTwoIndex.h>
// All-to-all contraction kernels that touch the
// internal lattice structure

View File

@ -290,7 +290,7 @@ public:
}
*/
//////////////////////////////////////////////////
// the sum over all nu-oriented staples for nu != mu on each site
// the sum over all staples on each site
//////////////////////////////////////////////////
static void Staple(GaugeMat &staple, const GaugeLorentz &Umu, int mu) {
@ -300,10 +300,6 @@ public:
for (int d = 0; d < Nd; d++) {
U[d] = PeekIndex<LorentzIndex>(Umu, d);
}
Staple(staple, U, mu);
}
static void Staple(GaugeMat &staple, const std::vector<GaugeMat> &U, int mu) {
staple = Zero();
for (int nu = 0; nu < Nd; nu++) {
@ -339,202 +335,6 @@ public:
}
}
/////////////
//Staples for each direction mu, summed over nu != mu
//staple: output staples for each mu (Nd)
//U: link array (Nd)
/////////////
static void StapleAll(std::vector<GaugeMat> &staple, const std::vector<GaugeMat> &U) {
assert(staple.size() == Nd); assert(U.size() == Nd);
for(int mu=0;mu<Nd;mu++) Staple(staple[mu], U, mu);
}
//A workspace class allowing reuse of the stencil
class WilsonLoopPaddedStencilWorkspace{
std::unique_ptr<GeneralLocalStencil> stencil;
size_t nshift;
void generateStencil(GridBase* padded_grid){
double t0 = usecond();
//Generate shift arrays
std::vector<Coordinate> shifts = this->getShifts();
nshift = shifts.size();
double t1 = usecond();
//Generate local stencil
stencil.reset(new GeneralLocalStencil(padded_grid,shifts));
double t2 = usecond();
std::cout << GridLogPerformance << " WilsonLoopPaddedWorkspace timings: coord:" << (t1-t0)/1000 << "ms, stencil:" << (t2-t1)/1000 << "ms" << std::endl;
}
public:
//Get the stencil. If not already generated, or if generated using a different Grid than in PaddedCell, it will be created on-the-fly
const GeneralLocalStencil & getStencil(const PaddedCell &pcell){
assert(pcell.depth >= this->paddingDepth());
if(!stencil || stencil->Grid() != (GridBase*)pcell.grids.back() ) generateStencil((GridBase*)pcell.grids.back());
return *stencil;
}
size_t Nshift() const{ return nshift; }
virtual std::vector<Coordinate> getShifts() const = 0;
virtual int paddingDepth() const = 0; //padding depth required
virtual ~WilsonLoopPaddedStencilWorkspace(){}
};
//This workspace allows the sharing of a common PaddedCell object between multiple stencil workspaces
class WilsonLoopPaddedWorkspace{
std::vector<WilsonLoopPaddedStencilWorkspace*> stencil_wk;
std::unique_ptr<PaddedCell> pcell;
void generatePcell(GridBase* unpadded_grid){
assert(stencil_wk.size());
int max_depth = 0;
for(auto const &s : stencil_wk) max_depth=std::max(max_depth, s->paddingDepth());
pcell.reset(new PaddedCell(max_depth, dynamic_cast<GridCartesian*>(unpadded_grid)));
}
public:
//Add a stencil definition. This should be done before the first call to retrieve a stencil object.
//Takes ownership of the pointer
void addStencil(WilsonLoopPaddedStencilWorkspace *stencil){
assert(!pcell);
stencil_wk.push_back(stencil);
}
const GeneralLocalStencil & getStencil(const size_t stencil_idx, GridBase* unpadded_grid){
if(!pcell || pcell->unpadded_grid != unpadded_grid) generatePcell(unpadded_grid);
return stencil_wk[stencil_idx]->getStencil(*pcell);
}
const PaddedCell & getPaddedCell(GridBase* unpadded_grid){
if(!pcell || pcell->unpadded_grid != unpadded_grid) generatePcell(unpadded_grid);
return *pcell;
}
~WilsonLoopPaddedWorkspace(){
for(auto &s : stencil_wk) delete s;
}
};
//A workspace class allowing reuse of the stencil
class StaplePaddedAllWorkspace: public WilsonLoopPaddedStencilWorkspace{
public:
std::vector<Coordinate> getShifts() const override{
std::vector<Coordinate> shifts;
for(int mu=0;mu<Nd;mu++){
for(int nu=0;nu<Nd;nu++){
if(nu != mu){
Coordinate shift_0(Nd,0);
Coordinate shift_mu(Nd,0); shift_mu[mu]=1;
Coordinate shift_nu(Nd,0); shift_nu[nu]=1;
Coordinate shift_mnu(Nd,0); shift_mnu[nu]=-1;
Coordinate shift_mnu_pmu(Nd,0); shift_mnu_pmu[nu]=-1; shift_mnu_pmu[mu]=1;
//U_nu(x+mu)U^dag_mu(x+nu) U^dag_nu(x)
shifts.push_back(shift_0);
shifts.push_back(shift_nu);
shifts.push_back(shift_mu);
//U_nu^dag(x-nu+mu) U_mu^dag(x-nu) U_nu(x-nu)
shifts.push_back(shift_mnu);
shifts.push_back(shift_mnu);
shifts.push_back(shift_mnu_pmu);
}
}
}
return shifts;
}
int paddingDepth() const override{ return 1; }
};
//Padded cell implementation of the staple method for all mu, summed over nu != mu
//staple: output staple for each mu, summed over nu != mu (Nd)
//U_padded: the gauge link fields padded out using the PaddedCell class
//Cell: the padded cell class
static void StaplePaddedAll(std::vector<GaugeMat> &staple, const std::vector<GaugeMat> &U_padded, const PaddedCell &Cell) {
StaplePaddedAllWorkspace wk;
StaplePaddedAll(staple,U_padded,Cell,wk.getStencil(Cell));
}
//Padded cell implementation of the staple method for all mu, summed over nu != mu
//staple: output staple for each mu, summed over nu != mu (Nd)
//U_padded: the gauge link fields padded out using the PaddedCell class
//Cell: the padded cell class
//gStencil: the precomputed generalized local stencil for the staple
static void StaplePaddedAll(std::vector<GaugeMat> &staple, const std::vector<GaugeMat> &U_padded, const PaddedCell &Cell, const GeneralLocalStencil &gStencil) {
double t0 = usecond();
assert(U_padded.size() == Nd); assert(staple.size() == Nd);
assert(U_padded[0].Grid() == (GridBase*)Cell.grids.back());
assert(Cell.depth >= 1);
GridBase *ggrid = U_padded[0].Grid(); //padded cell grid
int shift_mu_off = gStencil._npoints/Nd;
//Open views to padded gauge links and keep open over mu loop
typedef LatticeView<typename GaugeMat::vector_object> GaugeViewType;
size_t vsize = Nd*sizeof(GaugeViewType);
GaugeViewType* Ug_dirs_v_host = (GaugeViewType*)malloc(vsize);
for(int i=0;i<Nd;i++) Ug_dirs_v_host[i] = U_padded[i].View(AcceleratorRead);
GaugeViewType* Ug_dirs_v = (GaugeViewType*)acceleratorAllocDevice(vsize);
acceleratorCopyToDevice(Ug_dirs_v_host,Ug_dirs_v,vsize);
GaugeMat gStaple(ggrid);
int outer_off = 0;
for(int mu=0;mu<Nd;mu++){
{ //view scope
autoView( gStaple_v , gStaple, AcceleratorWrite);
auto gStencil_v = gStencil.View(AcceleratorRead);
accelerator_for(ss, ggrid->oSites(), ggrid->Nsimd(), {
decltype(coalescedRead(Ug_dirs_v[0][0])) stencil_ss;
stencil_ss = Zero();
int off = outer_off;
for(int nu=0;nu<Nd;nu++){
if(nu != mu){
GeneralStencilEntry const* e = gStencil_v.GetEntry(off++,ss);
auto U0 = adj(coalescedReadGeneralPermute(Ug_dirs_v[nu][e->_offset], e->_permute, Nd));
e = gStencil_v.GetEntry(off++,ss);
auto U1 = adj(coalescedReadGeneralPermute(Ug_dirs_v[mu][e->_offset], e->_permute, Nd));
e = gStencil_v.GetEntry(off++,ss);
auto U2 = coalescedReadGeneralPermute(Ug_dirs_v[nu][e->_offset], e->_permute, Nd);
stencil_ss = stencil_ss + U2 * U1 * U0;
e = gStencil_v.GetEntry(off++,ss);
U0 = coalescedReadGeneralPermute(Ug_dirs_v[nu][e->_offset], e->_permute, Nd);
e = gStencil_v.GetEntry(off++,ss);
U1 = adj(coalescedReadGeneralPermute(Ug_dirs_v[mu][e->_offset], e->_permute, Nd));
e = gStencil_v.GetEntry(off++,ss);
U2 = adj(coalescedReadGeneralPermute(Ug_dirs_v[nu][e->_offset], e->_permute, Nd));
stencil_ss = stencil_ss + U2 * U1 * U0;
}
}
coalescedWrite(gStaple_v[ss],stencil_ss);
}
);
} //ensure views are all closed!
staple[mu] = Cell.Extract(gStaple);
outer_off += shift_mu_off;
}//mu loop
for(int i=0;i<Nd;i++) Ug_dirs_v_host[i].ViewClose();
free(Ug_dirs_v_host);
acceleratorFreeDevice(Ug_dirs_v);
double t1=usecond();
std::cout << GridLogPerformance << "StaplePaddedAll timing:" << (t1-t0)/1000 << "ms" << std::endl;
}
//////////////////////////////////////////////////
// the sum over all staples on each site in direction mu,nu, upper part
//////////////////////////////////////////////////
@ -907,14 +707,18 @@ public:
// the sum over all staples on each site
//////////////////////////////////////////////////
static void RectStapleDouble(GaugeMat &U2, const GaugeMat &U, int mu) {
U2 = U * Gimpl::CshiftLink(U, mu, 1);
U2 = U * Cshift(U, mu, 1);
}
////////////////////////////////////////////////////////////////////////////
// Hop by two optimisation strategy. Use RectStapleDouble to obtain 'U2'
// Hop by two optimisation strategy does not work nicely with Gparity. (could
// do,
// but need to track two deep where cross boundary and apply a conjugation).
// Must differentiate this in Gimpl, and use Gimpl::isPeriodicGaugeField to do
// so .
////////////////////////////////////////////////////////////////////////////
static void RectStapleOptimised(GaugeMat &Stap, const std::vector<GaugeMat> &U2,
const std::vector<GaugeMat> &U, int mu) {
static void RectStapleOptimised(GaugeMat &Stap, std::vector<GaugeMat> &U2,
std::vector<GaugeMat> &U, int mu) {
Stap = Zero();
@ -928,9 +732,9 @@ public:
// Up staple ___ ___
// | |
tmp = Gimpl::CshiftLink(adj(U[nu]), nu, -1);
tmp = Cshift(adj(U[nu]), nu, -1);
tmp = adj(U2[mu]) * tmp;
tmp = Gimpl::CshiftLink(tmp, mu, -2);
tmp = Cshift(tmp, mu, -2);
Staple2x1 = Gimpl::CovShiftForward(U[nu], nu, tmp);
@ -938,14 +742,14 @@ public:
// |___ ___|
//
tmp = adj(U2[mu]) * U[nu];
Staple2x1 += Gimpl::CovShiftBackward(U[nu], nu, Gimpl::CshiftLink(tmp, mu, -2));
Staple2x1 += Gimpl::CovShiftBackward(U[nu], nu, Cshift(tmp, mu, -2));
// ___ ___
// | ___|
// |___ ___|
//
Stap += Gimpl::CshiftLink(Gimpl::CovShiftForward(U[mu], mu, Staple2x1), mu, 1);
Stap += Cshift(Gimpl::CovShiftForward(U[mu], mu, Staple2x1), mu, 1);
// ___ ___
// |___ |
@ -954,7 +758,7 @@ public:
// tmp= Staple2x1* Cshift(U[mu],mu,-2);
// Stap+= Cshift(tmp,mu,1) ;
Stap += Gimpl::CshiftLink(Staple2x1, mu, 1) * Gimpl::CshiftLink(U[mu], mu, -1);
Stap += Cshift(Staple2x1, mu, 1) * Cshift(U[mu], mu, -1);
;
// --
@ -962,10 +766,10 @@ public:
//
// | |
tmp = Gimpl::CshiftLink(adj(U2[nu]), nu, -2);
tmp = Cshift(adj(U2[nu]), nu, -2);
tmp = Gimpl::CovShiftBackward(U[mu], mu, tmp);
tmp = U2[nu] * Gimpl::CshiftLink(tmp, nu, 2);
Stap += Gimpl::CshiftLink(tmp, mu, 1);
tmp = U2[nu] * Cshift(tmp, nu, 2);
Stap += Cshift(tmp, mu, 1);
// | |
//
@ -974,12 +778,25 @@ public:
tmp = Gimpl::CovShiftBackward(U[mu], mu, U2[nu]);
tmp = adj(U2[nu]) * tmp;
tmp = Gimpl::CshiftLink(tmp, nu, -2);
Stap += Gimpl::CshiftLink(tmp, mu, 1);
tmp = Cshift(tmp, nu, -2);
Stap += Cshift(tmp, mu, 1);
}
}
}
static void RectStaple(GaugeMat &Stap, const GaugeLorentz &Umu, int mu) {
RectStapleUnoptimised(Stap, Umu, mu);
}
static void RectStaple(const GaugeLorentz &Umu, GaugeMat &Stap,
std::vector<GaugeMat> &U2, std::vector<GaugeMat> &U,
int mu) {
if (Gimpl::isPeriodicGaugeField()) {
RectStapleOptimised(Stap, U2, U, mu);
} else {
RectStapleUnoptimised(Stap, Umu, mu);
}
}
static void RectStapleUnoptimised(GaugeMat &Stap, const GaugeLorentz &Umu,
int mu) {
GridBase *grid = Umu.Grid();
@ -1078,288 +895,6 @@ public:
}
}
static void RectStaple(GaugeMat &Stap, const GaugeLorentz &Umu, int mu) {
RectStapleUnoptimised(Stap, Umu, mu);
}
static void RectStaple(const GaugeLorentz &Umu, GaugeMat &Stap,
std::vector<GaugeMat> &U2, std::vector<GaugeMat> &U,
int mu) {
RectStapleOptimised(Stap, U2, U, mu);
}
//////////////////////////////////////////////////////
//Compute the rectangular staples for all orientations
//Stap : Array of staples (Nd)
//U: Gauge links in each direction (Nd)
/////////////////////////////////////////////////////
static void RectStapleAll(std::vector<GaugeMat> &Stap, const std::vector<GaugeMat> &U){
assert(Stap.size() == Nd); assert(U.size() == Nd);
std::vector<GaugeMat> U2(Nd,U[0].Grid());
for(int mu=0;mu<Nd;mu++) RectStapleDouble(U2[mu], U[mu], mu);
for(int mu=0;mu<Nd;mu++) RectStapleOptimised(Stap[mu], U2, U, mu);
}
//A workspace class allowing reuse of the stencil
class RectStaplePaddedAllWorkspace: public WilsonLoopPaddedStencilWorkspace{
public:
std::vector<Coordinate> getShifts() const override{
std::vector<Coordinate> shifts;
for (int mu = 0; mu < Nd; mu++){
for (int nu = 0; nu < Nd; nu++) {
if (nu != mu) {
auto genShift = [&](int mushift,int nushift){
Coordinate out(Nd,0); out[mu]=mushift; out[nu]=nushift; return out;
};
//tmp6 = tmp5(x+mu) = U_mu(x+mu)U_nu(x+2mu)U_mu^dag(x+nu+mu) U_mu^dag(x+nu) U_nu^dag(x)
shifts.push_back(genShift(0,0));
shifts.push_back(genShift(0,+1));
shifts.push_back(genShift(+1,+1));
shifts.push_back(genShift(+2,0));
shifts.push_back(genShift(+1,0));
//tmp5 = tmp4(x+mu) = U_mu(x+mu)U^dag_nu(x-nu+2mu)U^dag_mu(x-nu+mu)U^dag_mu(x-nu)U_nu(x-nu)
shifts.push_back(genShift(0,-1));
shifts.push_back(genShift(0,-1));
shifts.push_back(genShift(+1,-1));
shifts.push_back(genShift(+2,-1));
shifts.push_back(genShift(+1,0));
//tmp5 = tmp4(x+mu) = U^dag_nu(x-nu+mu)U^dag_mu(x-nu)U^dag_mu(x-mu-nu)U_nu(x-mu-nu)U_mu(x-mu)
shifts.push_back(genShift(-1,0));
shifts.push_back(genShift(-1,-1));
shifts.push_back(genShift(-1,-1));
shifts.push_back(genShift(0,-1));
shifts.push_back(genShift(+1,-1));
//tmp5 = tmp4(x+mu) = U_nu(x+mu)U_mu^dag(x+nu)U_mu^dag(x-mu+nu)U_nu^dag(x-mu)U_mu(x-mu)
shifts.push_back(genShift(-1,0));
shifts.push_back(genShift(-1,0));
shifts.push_back(genShift(-1,+1));
shifts.push_back(genShift(0,+1));
shifts.push_back(genShift(+1,0));
//tmp6 = tmp5(x+mu) = U_nu(x+mu)U_nu(x+mu+nu)U_mu^dag(x+2nu)U_nu^dag(x+nu)U_nu^dag(x)
shifts.push_back(genShift(0,0));
shifts.push_back(genShift(0,+1));
shifts.push_back(genShift(0,+2));
shifts.push_back(genShift(+1,+1));
shifts.push_back(genShift(+1,0));
//tmp5 = tmp4(x+mu) = U_nu^dag(x+mu-nu)U_nu^dag(x+mu-2nu)U_mu^dag(x-2nu)U_nu(x-2nu)U_nu(x-nu)
shifts.push_back(genShift(0,-1));
shifts.push_back(genShift(0,-2));
shifts.push_back(genShift(0,-2));
shifts.push_back(genShift(+1,-2));
shifts.push_back(genShift(+1,-1));
}
}
}
return shifts;
}
int paddingDepth() const override{ return 2; }
};
//Padded cell implementation of the rectangular staple method for all mu, summed over nu != mu
//staple: output staple for each mu, summed over nu != mu (Nd)
//U_padded: the gauge link fields padded out using the PaddedCell class
//Cell: the padded cell class
static void RectStaplePaddedAll(std::vector<GaugeMat> &staple, const std::vector<GaugeMat> &U_padded, const PaddedCell &Cell) {
RectStaplePaddedAllWorkspace wk;
RectStaplePaddedAll(staple,U_padded,Cell,wk.getStencil(Cell));
}
//Padded cell implementation of the rectangular staple method for all mu, summed over nu != mu
//staple: output staple for each mu, summed over nu != mu (Nd)
//U_padded: the gauge link fields padded out using the PaddedCell class
//Cell: the padded cell class
//gStencil: the stencil
static void RectStaplePaddedAll(std::vector<GaugeMat> &staple, const std::vector<GaugeMat> &U_padded, const PaddedCell &Cell, const GeneralLocalStencil &gStencil) {
double t0 = usecond();
assert(U_padded.size() == Nd); assert(staple.size() == Nd);
assert(U_padded[0].Grid() == (GridBase*)Cell.grids.back());
assert(Cell.depth >= 2);
GridBase *ggrid = U_padded[0].Grid(); //padded cell grid
size_t nshift = gStencil._npoints;
int mu_off_delta = nshift / Nd;
//Open views to padded gauge links and keep open over mu loop
typedef LatticeView<typename GaugeMat::vector_object> GaugeViewType;
size_t vsize = Nd*sizeof(GaugeViewType);
GaugeViewType* Ug_dirs_v_host = (GaugeViewType*)malloc(vsize);
for(int i=0;i<Nd;i++) Ug_dirs_v_host[i] = U_padded[i].View(AcceleratorRead);
GaugeViewType* Ug_dirs_v = (GaugeViewType*)acceleratorAllocDevice(vsize);
acceleratorCopyToDevice(Ug_dirs_v_host,Ug_dirs_v,vsize);
GaugeMat gStaple(ggrid); //temp staple object on padded grid
int offset = 0;
for(int mu=0; mu<Nd; mu++){
{ //view scope
autoView( gStaple_v , gStaple, AcceleratorWrite);
auto gStencil_v = gStencil.View(AcceleratorRead);
accelerator_for(ss, ggrid->oSites(), ggrid->Nsimd(), {
decltype(coalescedRead(Ug_dirs_v[0][0])) stencil_ss;
stencil_ss = Zero();
int s=offset;
for(int nu=0;nu<Nd;nu++){
if(nu != mu){
//tmp6 = tmp5(x+mu) = U_mu(x+mu)U_nu(x+2mu)U_mu^dag(x+nu+mu) U_mu^dag(x+nu) U_nu^dag(x)
GeneralStencilEntry const* e = gStencil_v.GetEntry(s++,ss);
auto U0 = adj(coalescedReadGeneralPermute(Ug_dirs_v[nu][e->_offset], e->_permute, Nd));
e = gStencil_v.GetEntry(s++,ss);
auto U1 = adj(coalescedReadGeneralPermute(Ug_dirs_v[mu][e->_offset], e->_permute, Nd));
e = gStencil_v.GetEntry(s++,ss);
auto U2 = adj(coalescedReadGeneralPermute(Ug_dirs_v[mu][e->_offset], e->_permute, Nd));
e = gStencil_v.GetEntry(s++,ss);
auto U3 = coalescedReadGeneralPermute(Ug_dirs_v[nu][e->_offset], e->_permute, Nd);
e = gStencil_v.GetEntry(s++,ss);
auto U4 = coalescedReadGeneralPermute(Ug_dirs_v[mu][e->_offset], e->_permute, Nd);
stencil_ss = stencil_ss + U4*U3*U2*U1*U0;
//tmp5 = tmp4(x+mu) = U_mu(x+mu)U^dag_nu(x-nu+2mu)U^dag_mu(x-nu+mu)U^dag_mu(x-nu)U_nu(x-nu)
e = gStencil_v.GetEntry(s++,ss);
U0 = coalescedReadGeneralPermute(Ug_dirs_v[nu][e->_offset], e->_permute, Nd);
e = gStencil_v.GetEntry(s++,ss);
U1 = adj(coalescedReadGeneralPermute(Ug_dirs_v[mu][e->_offset], e->_permute, Nd));
e = gStencil_v.GetEntry(s++,ss);
U2 = adj(coalescedReadGeneralPermute(Ug_dirs_v[mu][e->_offset], e->_permute, Nd));
e = gStencil_v.GetEntry(s++,ss);
U3 = adj(coalescedReadGeneralPermute(Ug_dirs_v[nu][e->_offset], e->_permute, Nd));
e = gStencil_v.GetEntry(s++,ss);
U4 = coalescedReadGeneralPermute(Ug_dirs_v[mu][e->_offset], e->_permute, Nd);
stencil_ss = stencil_ss + U4*U3*U2*U1*U0;
//tmp5 = tmp4(x+mu) = U^dag_nu(x-nu+mu)U^dag_mu(x-nu)U^dag_mu(x-mu-nu)U_nu(x-mu-nu)U_mu(x-mu)
e = gStencil_v.GetEntry(s++,ss);
U0 = coalescedReadGeneralPermute(Ug_dirs_v[mu][e->_offset], e->_permute, Nd);
e = gStencil_v.GetEntry(s++,ss);
U1 = coalescedReadGeneralPermute(Ug_dirs_v[nu][e->_offset], e->_permute, Nd);
e = gStencil_v.GetEntry(s++,ss);
U2 = adj(coalescedReadGeneralPermute(Ug_dirs_v[mu][e->_offset], e->_permute, Nd));
e = gStencil_v.GetEntry(s++,ss);
U3 = adj(coalescedReadGeneralPermute(Ug_dirs_v[mu][e->_offset], e->_permute, Nd));
e = gStencil_v.GetEntry(s++,ss);
U4 = adj(coalescedReadGeneralPermute(Ug_dirs_v[nu][e->_offset], e->_permute, Nd));
stencil_ss = stencil_ss + U4*U3*U2*U1*U0;
//tmp5 = tmp4(x+mu) = U_nu(x+mu)U_mu^dag(x+nu)U_mu^dag(x-mu+nu)U_nu^dag(x-mu)U_mu(x-mu)
e = gStencil_v.GetEntry(s++,ss);
U0 = coalescedReadGeneralPermute(Ug_dirs_v[mu][e->_offset], e->_permute, Nd);
e = gStencil_v.GetEntry(s++,ss);
U1 = adj(coalescedReadGeneralPermute(Ug_dirs_v[nu][e->_offset], e->_permute, Nd));
e = gStencil_v.GetEntry(s++,ss);
U2 = adj(coalescedReadGeneralPermute(Ug_dirs_v[mu][e->_offset], e->_permute, Nd));
e = gStencil_v.GetEntry(s++,ss);
U3 = adj(coalescedReadGeneralPermute(Ug_dirs_v[mu][e->_offset], e->_permute, Nd));
e = gStencil_v.GetEntry(s++,ss);
U4 = coalescedReadGeneralPermute(Ug_dirs_v[nu][e->_offset], e->_permute, Nd);
stencil_ss = stencil_ss + U4*U3*U2*U1*U0;
//tmp6 = tmp5(x+mu) = U_nu(x+mu)U_nu(x+mu+nu)U_mu^dag(x+2nu)U_nu^dag(x+nu)U_nu^dag(x)
e = gStencil_v.GetEntry(s++,ss);
U0 = adj(coalescedReadGeneralPermute(Ug_dirs_v[nu][e->_offset], e->_permute, Nd));
e = gStencil_v.GetEntry(s++,ss);
U1 = adj(coalescedReadGeneralPermute(Ug_dirs_v[nu][e->_offset], e->_permute, Nd));
e = gStencil_v.GetEntry(s++,ss);
U2 = adj(coalescedReadGeneralPermute(Ug_dirs_v[mu][e->_offset], e->_permute, Nd));
e = gStencil_v.GetEntry(s++,ss);
U3 = coalescedReadGeneralPermute(Ug_dirs_v[nu][e->_offset], e->_permute, Nd);
e = gStencil_v.GetEntry(s++,ss);
U4 = coalescedReadGeneralPermute(Ug_dirs_v[nu][e->_offset], e->_permute, Nd);
stencil_ss = stencil_ss + U4*U3*U2*U1*U0;
//tmp5 = tmp4(x+mu) = U_nu^dag(x+mu-nu)U_nu^dag(x+mu-2nu)U_mu^dag(x-2nu)U_nu(x-2nu)U_nu(x-nu)
e = gStencil_v.GetEntry(s++,ss);
U0 = coalescedReadGeneralPermute(Ug_dirs_v[nu][e->_offset], e->_permute, Nd);
e = gStencil_v.GetEntry(s++,ss);
U1 = coalescedReadGeneralPermute(Ug_dirs_v[nu][e->_offset], e->_permute, Nd);
e = gStencil_v.GetEntry(s++,ss);
U2 = adj(coalescedReadGeneralPermute(Ug_dirs_v[mu][e->_offset], e->_permute, Nd));
e = gStencil_v.GetEntry(s++,ss);
U3 = adj(coalescedReadGeneralPermute(Ug_dirs_v[nu][e->_offset], e->_permute, Nd));
e = gStencil_v.GetEntry(s++,ss);
U4 = adj(coalescedReadGeneralPermute(Ug_dirs_v[nu][e->_offset], e->_permute, Nd));
stencil_ss = stencil_ss + U4*U3*U2*U1*U0;
}
}
coalescedWrite(gStaple_v[ss],stencil_ss);
}
);
offset += mu_off_delta;
}//kernel/view scope
staple[mu] = Cell.Extract(gStaple);
}//mu loop
for(int i=0;i<Nd;i++) Ug_dirs_v_host[i].ViewClose();
free(Ug_dirs_v_host);
acceleratorFreeDevice(Ug_dirs_v);
double t1 = usecond();
std::cout << GridLogPerformance << "RectStaplePaddedAll timings:" << (t1-t0)/1000 << "ms" << std::endl;
}
//A workspace for reusing the PaddedCell and GeneralLocalStencil objects
class StapleAndRectStapleAllWorkspace: public WilsonLoopPaddedWorkspace{
public:
StapleAndRectStapleAllWorkspace(){
this->addStencil(new StaplePaddedAllWorkspace);
this->addStencil(new RectStaplePaddedAllWorkspace);
}
};
//////////////////////////////////////////////////////
//Compute the 1x1 and 1x2 staples for all orientations
//Stap : Array of staples (Nd)
//RectStap: Array of rectangular staples (Nd)
//U: Gauge links in each direction (Nd)
/////////////////////////////////////////////////////
static void StapleAndRectStapleAll(std::vector<GaugeMat> &Stap, std::vector<GaugeMat> &RectStap, const std::vector<GaugeMat> &U){
StapleAndRectStapleAllWorkspace wk;
StapleAndRectStapleAll(Stap,RectStap,U,wk);
}
//////////////////////////////////////////////////////
//Compute the 1x1 and 1x2 staples for all orientations
//Stap : Array of staples (Nd)
//RectStap: Array of rectangular staples (Nd)
//U: Gauge links in each direction (Nd)
//wk: a workspace containing stored PaddedCell and GeneralLocalStencil objects to maximize reuse
/////////////////////////////////////////////////////
static void StapleAndRectStapleAll(std::vector<GaugeMat> &Stap, std::vector<GaugeMat> &RectStap, const std::vector<GaugeMat> &U, StapleAndRectStapleAllWorkspace &wk){
#if 0
StapleAll(Stap, U);
RectStapleAll(RectStap, U);
#else
double t0 = usecond();
GridCartesian* unpadded_grid = dynamic_cast<GridCartesian*>(U[0].Grid());
const PaddedCell &Ghost = wk.getPaddedCell(unpadded_grid);
CshiftImplGauge<Gimpl> cshift_impl;
std::vector<GaugeMat> U_pad(Nd, Ghost.grids.back());
for(int mu=0;mu<Nd;mu++) U_pad[mu] = Ghost.Exchange(U[mu], cshift_impl);
double t1 = usecond();
StaplePaddedAll(Stap, U_pad, Ghost, wk.getStencil(0,unpadded_grid) );
double t2 = usecond();
RectStaplePaddedAll(RectStap, U_pad, Ghost, wk.getStencil(1,unpadded_grid));
double t3 = usecond();
std::cout << GridLogPerformance << "StapleAndRectStapleAll timings: pad:" << (t1-t0)/1000 << "ms, staple:" << (t2-t1)/1000 << "ms, rect-staple:" << (t3-t2)/1000 << "ms" << std::endl;
#endif
}
//////////////////////////////////////////////////
// Wilson loop of size (R1, R2), oriented in mu,nu plane
//////////////////////////////////////////////////

View File

@ -1130,14 +1130,6 @@ static_assert(sizeof(SIMD_Ftype) == sizeof(SIMD_Itype), "SIMD vector lengths inc
#endif
#endif
// Fixme need coalesced read gpermute
template<class vobj> void gpermute(vobj & inout,int perm){
vobj tmp=inout;
if (perm & 0x1 ) { permute(inout,tmp,0); tmp=inout;}
if (perm & 0x2 ) { permute(inout,tmp,1); tmp=inout;}
if (perm & 0x4 ) { permute(inout,tmp,2); tmp=inout;}
if (perm & 0x8 ) { permute(inout,tmp,3); tmp=inout;}
}
NAMESPACE_END(Grid);

View File

@ -46,7 +46,7 @@ class GeneralLocalStencilView {
accelerator_inline GeneralStencilEntry * GetEntry(int point,int osite) {
return & this->_entries_p[point+this->_npoints*osite];
}
void ViewClose(void){};
};
////////////////////////////////////////
// The Stencil Class itself
@ -61,7 +61,7 @@ protected:
public:
GridBase *Grid(void) const { return _grid; }
View_type View(int mode) const {
View_type View(void) const {
View_type accessor(*( (View_type *) this));
return accessor;
}
@ -79,60 +79,60 @@ public:
this->_entries.resize(npoints* osites);
this->_entries_p = &_entries[0];
thread_for(site, osites, {
Coordinate Coor;
Coordinate NbrCoor;
for(Integer ii=0;ii<npoints;ii++){
Integer lex = site*npoints+ii;
GeneralStencilEntry SE;
////////////////////////////////////////////////
// Outer index of neighbour Offset calculation
////////////////////////////////////////////////
grid->oCoorFromOindex(Coor,site);
for(int d=0;d<Coor.size();d++){
int rd = grid->_rdimensions[d];
NbrCoor[d] = (Coor[d] + shifts[ii][d] + rd )%rd;
}
SE._offset = grid->oIndexReduced(NbrCoor);
////////////////////////////////////////////////
// Inner index permute calculation
// Simpler version using icoor calculation
////////////////////////////////////////////////
SE._permute =0;
for(int d=0;d<Coor.size();d++){
int fd = grid->_fdimensions[d];
int rd = grid->_rdimensions[d];
int ly = grid->_simd_layout[d];
assert((ly==1)||(ly==2));
int shift = (shifts[ii][d]+fd)%fd; // make it strictly positive 0.. L-1
int x = Coor[d]; // x in [0... rd-1] as an oSite
int permute_dim = grid->PermuteDim(d);
int permute_slice=0;
if(permute_dim){
int num = shift%rd; // Slice within dest osite cell of slice zero
int wrap = shift/rd; // Number of osite local volume cells crossed through
// x+num < rd dictates whether we are in same permute state as slice 0
if ( x< rd-num ) permute_slice=wrap;
else permute_slice=(wrap+1)%ly;
}
if ( permute_slice ) {
int ptype =grid->PermuteType(d);
uint8_t mask =0x1<<ptype;
SE._permute |= mask;
}
}
////////////////////////////////////////////////
// Store in look up table
////////////////////////////////////////////////
this->_entries[lex] = SE;
Coordinate Coor;
Coordinate NbrCoor;
for(Integer site=0;site<osites;site++){
for(Integer ii=0;ii<npoints;ii++){
Integer lex = site*npoints+ii;
GeneralStencilEntry SE;
////////////////////////////////////////////////
// Outer index of neighbour Offset calculation
////////////////////////////////////////////////
grid->oCoorFromOindex(Coor,site);
for(int d=0;d<Coor.size();d++){
int rd = grid->_rdimensions[d];
NbrCoor[d] = (Coor[d] + shifts[ii][d] + rd )%rd;
}
});
SE._offset = grid->oIndexReduced(NbrCoor);
////////////////////////////////////////////////
// Inner index permute calculation
// Simpler version using icoor calculation
////////////////////////////////////////////////
SE._permute =0;
for(int d=0;d<Coor.size();d++){
int fd = grid->_fdimensions[d];
int rd = grid->_rdimensions[d];
int ly = grid->_simd_layout[d];
assert((ly==1)||(ly==2));
int shift = (shifts[ii][d]+fd)%fd; // make it strictly positive 0.. L-1
int x = Coor[d]; // x in [0... rd-1] as an oSite
int permute_dim = grid->PermuteDim(d);
int permute_slice=0;
if(permute_dim){
int num = shift%rd; // Slice within dest osite cell of slice zero
int wrap = shift/rd; // Number of osite local volume cells crossed through
// x+num < rd dictates whether we are in same permute state as slice 0
if ( x< rd-num ) permute_slice=wrap;
else permute_slice=(wrap+1)%ly;
}
if ( permute_slice ) {
int ptype =grid->PermuteType(d);
uint8_t mask =0x1<<ptype;
SE._permute |= mask;
}
}
////////////////////////////////////////////////
// Store in look up table
////////////////////////////////////////////////
this->_entries[lex] = SE;
}
}
}
};

View File

@ -32,7 +32,6 @@
#include <Grid/stencil/SimpleCompressor.h> // subdir aggregate
#include <Grid/stencil/Lebesgue.h> // subdir aggregate
#include <Grid/stencil/GeneralLocalStencil.h>
//////////////////////////////////////////////////////////////////////////////////////////
// Must not lose sight that goal is to be able to construct really efficient
@ -706,7 +705,7 @@ public:
}
}
}
std::cout << GridLogDebug << "BuildSurfaceList size is "<<surface_list.size()<<std::endl;
std::cout << "BuildSurfaceList size is "<<surface_list.size()<<std::endl;
}
/// Introduce a block structure and switch off comms on boundaries
void DirichletBlock(const Coordinate &dirichlet_block)

View File

@ -73,16 +73,6 @@ vobj coalescedReadPermute(const vobj & __restrict__ vec,int ptype,int doperm,int
return vec;
}
}
//'perm_mask' acts as a bitmask
template<class vobj> accelerator_inline
vobj coalescedReadGeneralPermute(const vobj & __restrict__ vec,int perm_mask,int nd,int lane=0)
{
auto obj = vec, tmp = vec;
for (int d=0;d<nd;d++)
if (perm_mask & (0x1 << d)) { permute(obj,tmp,d); tmp=obj;}
return obj;
}
template<class vobj> accelerator_inline
void coalescedWrite(vobj & __restrict__ vec,const vobj & __restrict__ extracted,int lane=0)
{
@ -93,7 +83,7 @@ void coalescedWriteNonTemporal(vobj & __restrict__ vec,const vobj & __restrict__
{
vstream(vec, extracted);
}
#else //==GRID_SIMT
#else
//#ifndef GRID_SYCL
@ -176,14 +166,6 @@ typename vobj::scalar_object coalescedReadPermute(const vobj & __restrict__ vec,
return extractLane(plane,vec);
}
template<class vobj> accelerator_inline
typename vobj::scalar_object coalescedReadGeneralPermute(const vobj & __restrict__ vec,int perm_mask,int nd,int lane=acceleratorSIMTlane(vobj::Nsimd()))
{
int plane = lane;
for (int d=0;d<nd;d++)
plane = (perm_mask & (0x1 << d)) ? plane ^ (vobj::Nsimd() >> (d + 1)) : plane;
return extractLane(plane,vec);
}
template<class vobj> accelerator_inline
void coalescedWrite(vobj & __restrict__ vec,const typename vobj::scalar_object & __restrict__ extracted,int lane=acceleratorSIMTlane(vobj::Nsimd()))
{
insertLane(lane,vec,extracted);

View File

@ -66,61 +66,13 @@ template<class vtype,int N> accelerator_inline iMatrix<vtype,N> Ta(const iMatrix
return ret;
}
template<class vtype> accelerator_inline iScalar<vtype> SpTa(const iScalar<vtype>&r)
{
iScalar<vtype> ret;
ret._internal = SpTa(r._internal);
return ret;
}
template<class vtype,int N> accelerator_inline iVector<vtype,N> SpTa(const iVector<vtype,N>&r)
{
iVector<vtype,N> ret;
for(int i=0;i<N;i++){
ret._internal[i] = SpTa(r._internal[i]);
}
return ret;
}
template<class vtype,int N, typename std::enable_if< GridTypeMapper<vtype>::TensorLevel == 0 >::type * =nullptr>
accelerator_inline iMatrix<vtype,N> SpTa(const iMatrix<vtype,N> &arg)
{
// Generalises Ta to Sp2n
// Applies the following projections
// P_{antihermitian} P_{antihermitian-Sp-algebra} P_{traceless}
// where the ordering matters
// P_{traceless} subtracts the trace
// P_{antihermitian-Sp-algebra} provides the block structure of the algebra based on U = exp(T) i.e. anti-hermitian generators
// P_{antihermitian} does in-adj(in) / 2
iMatrix<vtype,N> ret(arg);
double factor = (1.0/(double)N);
vtype nrm;
nrm = 0.5;
ret = arg - (trace(arg)*factor);
for(int c1=0;c1<N/2;c1++)
{
for(int c2=0;c2<N/2;c2++)
{
ret._internal[c1][c2] = nrm*(conjugate(ret._internal[c1+N/2][c2+N/2]) + ret._internal[c1][c2]); // new[up-left] = old[up-left]+old*[down-right]
ret._internal[c1][c2+N/2] = nrm*(ret._internal[c1][c2+N/2] - conjugate(ret._internal[c1+N/2][c2])); // new[up-right] = old[up-right]-old*[down-left]
}
for(int c2=N/2;c2<N;c2++)
{
ret._internal[c1+N/2][c2-N/2] = -conjugate(ret._internal[c1][c2]); // reconstructs lower blocks
ret._internal[c1+N/2][c2] = conjugate(ret._internal[c1][c2-N/2]); // from upper blocks
}
}
ret = (ret - adj(ret))*0.5;
return ret;
}
///////////////////////////////////////////////
// ProjectOnGroup function for scalar, vector, matrix
// Projects on orthogonal, unitary group
///////////////////////////////////////////////
template<class vtype> accelerator_inline iScalar<vtype> ProjectOnGroup(const iScalar<vtype>&r)
{
iScalar<vtype> ret;
@ -138,12 +90,10 @@ template<class vtype,int N> accelerator_inline iVector<vtype,N> ProjectOnGroup(c
template<class vtype,int N, typename std::enable_if< GridTypeMapper<vtype>::TensorLevel == 0 >::type * =nullptr>
accelerator_inline iMatrix<vtype,N> ProjectOnGroup(const iMatrix<vtype,N> &arg)
{
typedef typename iMatrix<vtype,N>::scalar_type scalar;
// need a check for the group type?
iMatrix<vtype,N> ret(arg);
vtype nrm;
vtype inner;
scalar one(1.0);
for(int c1=0;c1<N;c1++){
// Normalises row c1
@ -152,7 +102,7 @@ accelerator_inline iMatrix<vtype,N> ProjectOnGroup(const iMatrix<vtype,N> &arg)
inner += innerProduct(ret._internal[c1][c2],ret._internal[c1][c2]);
nrm = sqrt(inner);
nrm = one/nrm;
nrm = 1.0/nrm;
for(int c2=0;c2<N;c2++)
ret._internal[c1][c2]*= nrm;
@ -177,7 +127,7 @@ accelerator_inline iMatrix<vtype,N> ProjectOnGroup(const iMatrix<vtype,N> &arg)
inner += innerProduct(ret._internal[c1][c2],ret._internal[c1][c2]);
nrm = sqrt(inner);
nrm = one/nrm;
nrm = 1.0/nrm;
for(int c2=0;c2<N;c2++)
ret._internal[c1][c2]*= nrm;
}
@ -185,85 +135,6 @@ accelerator_inline iMatrix<vtype,N> ProjectOnGroup(const iMatrix<vtype,N> &arg)
return ret;
}
// re-do for sp2n
// Ta cannot be defined here for Sp2n because I need the generators from the Sp class
// It is defined in gauge impl types
template<class vtype> accelerator_inline iScalar<vtype> ProjectOnSpGroup(const iScalar<vtype>&r)
{
iScalar<vtype> ret;
ret._internal = ProjectOnSpGroup(r._internal);
return ret;
}
template<class vtype,int N> accelerator_inline iVector<vtype,N> ProjectOnSpGroup(const iVector<vtype,N>&r)
{
iVector<vtype,N> ret;
for(int i=0;i<N;i++){
ret._internal[i] = ProjectOnSpGroup(r._internal[i]);
}
return ret;
}
// int N is 2n in Sp(2n)
template<class vtype,int N, typename std::enable_if< GridTypeMapper<vtype>::TensorLevel == 0 >::type * =nullptr>
accelerator_inline iMatrix<vtype,N> ProjectOnSpGroup(const iMatrix<vtype,N> &arg)
{
// need a check for the group type?
iMatrix<vtype,N> ret(arg);
vtype nrm;
vtype inner;
for(int c1=0;c1<N/2;c1++)
{
for (int b=0; b<c1; b++) // remove the b-rows from U_c1
{
decltype(ret._internal[b][b]*ret._internal[b][b]) pr;
decltype(ret._internal[b][b]*ret._internal[b][b]) prn;
zeroit(pr);
zeroit(prn);
for(int c=0; c<N; c++)
{
pr += conjugate(ret._internal[c1][c])*ret._internal[b][c]; // <U_c1 | U_b >
prn += conjugate(ret._internal[c1][c])*ret._internal[b+N/2][c]; // <U_c1 | U_{b+N} >
}
for(int c=0; c<N; c++)
{
ret._internal[c1][c] -= (conjugate(pr) * ret._internal[b][c] + conjugate(prn) * ret._internal[b+N/2][c] ); // U_c1 -= ( <U_c1 | U_b > U_b + <U_c1 | U_{b+N} > U_{b+N} )
}
}
zeroit(inner);
for(int c2=0;c2<N;c2++)
{
inner += innerProduct(ret._internal[c1][c2],ret._internal[c1][c2]);
}
nrm = sqrt(inner);
nrm = 1.0/nrm;
for(int c2=0;c2<N;c2++)
{
ret._internal[c1][c2]*= nrm;
}
for(int c2=0;c2<N/2;c2++)
{
ret._internal[c1+N/2][c2+N/2] = conjugate(ret._internal[c1][c2]); // down right in the new matrix = (up-left)* of the old matrix
}
for(int c2=N/2;c2<N;c2++)
{
ret._internal[c1+N/2][c2-N/2] = -conjugate(ret._internal[c1][c2]);; // down left in the new matrix = -(up-right)* of the old
}
}
return ret;
}
NAMESPACE_END(Grid);
#endif

View File

@ -53,8 +53,9 @@ template<class vtype, int N> accelerator_inline iVector<vtype, N> Exponentiate(c
}
// Specialisation: Cayley-Hamilton exponential for SU(3)
#if 0
#ifndef GRID_ACCELERATED
template<class vtype, typename std::enable_if< GridTypeMapper<vtype>::TensorLevel == 0>::type * =nullptr>
accelerator_inline iMatrix<vtype,3> Exponentiate(const iMatrix<vtype,3> &arg, RealD alpha , Integer Nexp = DEFAULT_MAT_EXP )
{

View File

@ -137,18 +137,6 @@ inline void cuda_mem(void)
dim3 cu_blocks ((num1+nt-1)/nt,num2,1); \
LambdaApply<<<cu_blocks,cu_threads,0,computeStream>>>(num1,num2,nsimd,lambda); \
}
#define prof_accelerator_for2dNB( iter1, num1, iter2, num2, nsimd, ... ) \
{ \
int nt=acceleratorThreads(); \
typedef uint64_t Iterator; \
auto lambda = [=] accelerator \
(Iterator iter1,Iterator iter2,Iterator lane) mutable { \
__VA_ARGS__; \
}; \
dim3 cu_threads(nsimd,acceleratorThreads(),1); \
dim3 cu_blocks ((num1+nt-1)/nt,num2,1); \
ProfileLambdaApply<<<cu_blocks,cu_threads,0,computeStream>>>(num1,num2,nsimd,lambda); \
}
#define accelerator_for6dNB(iter1, num1, \
iter2, num2, \
@ -169,20 +157,6 @@ inline void cuda_mem(void)
Lambda6Apply<<<cu_blocks,cu_threads,0,computeStream>>>(num1,num2,num3,num4,num5,num6,lambda); \
}
#define accelerator_for2dNB( iter1, num1, iter2, num2, nsimd, ... ) \
{ \
int nt=acceleratorThreads(); \
typedef uint64_t Iterator; \
auto lambda = [=] accelerator \
(Iterator iter1,Iterator iter2,Iterator lane) mutable { \
__VA_ARGS__; \
}; \
dim3 cu_threads(nsimd,acceleratorThreads(),1); \
dim3 cu_blocks ((num1+nt-1)/nt,num2,1); \
LambdaApply<<<cu_blocks,cu_threads,0,computeStream>>>(num1,num2,nsimd,lambda); \
}
template<typename lambda> __global__
void LambdaApply(uint64_t num1, uint64_t num2, uint64_t num3, lambda Lambda)
{
@ -194,17 +168,6 @@ void LambdaApply(uint64_t num1, uint64_t num2, uint64_t num3, lambda Lambda)
Lambda(x,y,z);
}
}
template<typename lambda> __global__
void ProfileLambdaApply(uint64_t num1, uint64_t num2, uint64_t num3, lambda Lambda)
{
// Weird permute is to make lane coalesce for large blocks
uint64_t x = threadIdx.y + blockDim.y*blockIdx.x;
uint64_t y = threadIdx.z + blockDim.z*blockIdx.y;
uint64_t z = threadIdx.x;
if ( (x < num1) && (y<num2) && (z<num3) ) {
Lambda(x,y,z);
}
}
template<typename lambda> __global__
void Lambda6Apply(uint64_t num1, uint64_t num2, uint64_t num3,
@ -245,7 +208,6 @@ inline void *acceleratorAllocShared(size_t bytes)
if( err != cudaSuccess ) {
ptr = (void *) NULL;
printf(" cudaMallocManaged failed for %d %s \n",bytes,cudaGetErrorString(err));
assert(0);
}
return ptr;
};
@ -498,9 +460,6 @@ inline void acceleratorCopySynchronise(void) { hipStreamSynchronize(copyStream);
#if defined(GRID_SYCL) || defined(GRID_CUDA) || defined(GRID_HIP)
// FIXME -- the non-blocking nature got broken March 30 2023 by PAB
#define accelerator_forNB( iter1, num1, nsimd, ... ) accelerator_for2dNB( iter1, num1, iter2, 1, nsimd, {__VA_ARGS__} );
#define prof_accelerator_for( iter1, num1, nsimd, ... ) \
prof_accelerator_for2dNB( iter1, num1, iter2, 1, nsimd, {__VA_ARGS__} );\
accelerator_barrier(dummy);
#define accelerator_for( iter, num, nsimd, ... ) \
accelerator_forNB(iter, num, nsimd, { __VA_ARGS__ } ); \

View File

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

View File

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

View File

@ -1,224 +0,0 @@
/*************************************************************************************
Grid physics library, www.github.com/paboyle/Grid
Copyright (C) 2023
Author: Peter Boyle <pabobyle@ph.ed.ac.uk>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License along
with this program; if not, write to the Free Software Foundation, Inc.,
51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
See the full license in the file "LICENSE" in the top level distribution
directory
*************************************************************************************/
/* END LEGAL */
#include <Grid/Grid.h>
#include <Grid/qcd/smearing/GaugeConfigurationMasked.h>
#include <Grid/qcd/smearing/JacobianAction.h>
using namespace Grid;
int main(int argc, char **argv)
{
std::cout << std::setprecision(12);
Grid_init(&argc, &argv);
int threads = GridThread::GetThreads();
// here make a routine to print all the relevant information on the run
std::cout << GridLogMessage << "Grid is setup to use " << threads << " threads" << std::endl;
// Typedefs to simplify notation
typedef WilsonImplR FermionImplPolicy;
typedef MobiusFermionD FermionAction;
typedef typename FermionAction::FermionField FermionField;
typedef Grid::XmlReader Serialiser;
//::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
IntegratorParameters MD;
// typedef GenericHMCRunner<LeapFrog> HMCWrapper;
// MD.name = std::string("Leap Frog");
// typedef GenericHMCRunner<ForceGradient> HMCWrapper;
// MD.name = std::string("Force Gradient");
typedef GenericHMCRunner<MinimumNorm2> HMCWrapper;
MD.name = std::string("MinimumNorm2");
MD.MDsteps = 12;
MD.trajL = 1.0;
HMCparameters HMCparams;
HMCparams.StartTrajectory = 0;
HMCparams.Trajectories = 200;
HMCparams.NoMetropolisUntil= 20;
// "[HotStart, ColdStart, TepidStart, CheckpointStart]\n";
HMCparams.StartingType =std::string("HotStart");
HMCparams.MD = MD;
HMCWrapper TheHMC(HMCparams);
// Grid from the command line arguments --grid and --mpi
TheHMC.Resources.AddFourDimGrid("gauge"); // use default simd lanes decomposition
CheckpointerParameters CPparams;
CPparams.config_prefix = "ckpoint_EODWF_lat";
CPparams.smeared_prefix = "ckpoint_EODWF_lat_smr";
CPparams.rng_prefix = "ckpoint_EODWF_rng";
CPparams.saveInterval = 1;
CPparams.saveSmeared = true;
CPparams.format = "IEEE64BIG";
TheHMC.Resources.LoadNerscCheckpointer(CPparams);
RNGModuleParameters RNGpar;
RNGpar.serial_seeds = "1 2 3 4 5";
RNGpar.parallel_seeds = "6 7 8 9 10";
TheHMC.Resources.SetRNGSeeds(RNGpar);
// Construct observables
// here there is too much indirection
typedef PlaquetteMod<HMCWrapper::ImplPolicy> PlaqObs;
TheHMC.Resources.AddObservable<PlaqObs>();
//////////////////////////////////////////////
const int Ls = 16;
Real beta = 2.13;
Real light_mass = 0.01;
Real strange_mass = 0.04;
Real pv_mass = 1.0;
RealD M5 = 1.8;
RealD b = 1.0; // Scale factor two
RealD c = 0.0;
OneFlavourRationalParams OFRp;
OFRp.lo = 1.0e-2;
OFRp.hi = 64;
OFRp.MaxIter = 10000;
OFRp.tolerance= 1.0e-10;
OFRp.degree = 14;
OFRp.precision= 40;
std::vector<Real> hasenbusch({ 0.1 });
auto GridPtr = TheHMC.Resources.GetCartesian();
auto GridRBPtr = TheHMC.Resources.GetRBCartesian();
auto FGrid = SpaceTimeGrid::makeFiveDimGrid(Ls,GridPtr);
auto FrbGrid = SpaceTimeGrid::makeFiveDimRedBlackGrid(Ls,GridPtr);
IwasakiGaugeActionR GaugeAction(beta);
// temporarily need a gauge field
LatticeGaugeField U(GridPtr);
LatticeGaugeField Uhot(GridPtr);
// These lines are unecessary if BC are all periodic
std::vector<Complex> boundary = {1,1,1,-1};
FermionAction::ImplParams Params(boundary);
double StoppingCondition = 1e-10;
double MaxCGIterations = 30000;
ConjugateGradient<FermionField> CG(StoppingCondition,MaxCGIterations);
bool ApplySmearing = true;
////////////////////////////////////
// Collect actions
////////////////////////////////////
ActionLevel<HMCWrapper::Field> Level1(1);
ActionLevel<HMCWrapper::Field> Level2(2);
ActionLevel<HMCWrapper::Field> Level3(4);
////////////////////////////////////
// Strange action
////////////////////////////////////
MobiusEOFAFermionD Strange_Op_L (U , *FGrid , *FrbGrid , *GridPtr , *GridRBPtr , strange_mass, strange_mass, pv_mass, 0.0, -1, M5, b, c);
MobiusEOFAFermionD Strange_Op_R (U , *FGrid , *FrbGrid , *GridPtr , *GridRBPtr , pv_mass, strange_mass, pv_mass, -1.0, 1, M5, b, c);
ExactOneFlavourRatioPseudoFermionAction<FermionImplPolicy>
EOFA(Strange_Op_L, Strange_Op_R,
CG,
CG, CG,
CG, CG,
OFRp, false);
EOFA.is_smeared = ApplySmearing;
Level1.push_back(&EOFA);
////////////////////////////////////
// up down action
////////////////////////////////////
std::vector<Real> light_den;
std::vector<Real> light_num;
int n_hasenbusch = hasenbusch.size();
light_den.push_back(light_mass);
for(int h=0;h<n_hasenbusch;h++){
light_den.push_back(hasenbusch[h]);
light_num.push_back(hasenbusch[h]);
}
light_num.push_back(pv_mass);
std::vector<FermionAction *> Numerators;
std::vector<FermionAction *> Denominators;
std::vector<TwoFlavourEvenOddRatioPseudoFermionAction<FermionImplPolicy> *> Quotients;
for(int h=0;h<n_hasenbusch+1;h++){
std::cout << GridLogMessage << " 2f quotient Action "<< light_num[h] << " / " << light_den[h]<< std::endl;
Numerators.push_back (new FermionAction(U,*FGrid,*FrbGrid,*GridPtr,*GridRBPtr,light_num[h],M5,b,c, Params));
Denominators.push_back(new FermionAction(U,*FGrid,*FrbGrid,*GridPtr,*GridRBPtr,light_den[h],M5,b,c, Params));
Quotients.push_back (new TwoFlavourEvenOddRatioPseudoFermionAction<FermionImplPolicy>(*Numerators[h],*Denominators[h],CG,CG));
}
for(int h=0;h<n_hasenbusch+1;h++){
Quotients[h]->is_smeared = ApplySmearing;
Level1.push_back(Quotients[h]);
}
/////////////////////////////////////////////////////////////
// lnDetJacobianAction
/////////////////////////////////////////////////////////////
double rho = 0.1; // smearing parameter
int Nsmear = 1; // number of smearing levels - must be multiple of 2Nd
int Nstep = 8*Nsmear; // number of smearing levels - must be multiple of 2Nd
Smear_Stout<HMCWrapper::ImplPolicy> Stout(rho);
SmearedConfigurationMasked<HMCWrapper::ImplPolicy> SmearingPolicy(GridPtr, Nstep, Stout);
JacobianAction<HMCWrapper::ImplPolicy> Jacobian(&SmearingPolicy);
if( ApplySmearing ) Level2.push_back(&Jacobian);
std::cout << GridLogMessage << " Built the Jacobian "<< std::endl;
/////////////////////////////////////////////////////////////
// Gauge action
/////////////////////////////////////////////////////////////
// GaugeAction.is_smeared = ApplySmearing;
GaugeAction.is_smeared = true;
Level3.push_back(&GaugeAction);
std::cout << GridLogMessage << " ************************************************"<< std::endl;
std::cout << GridLogMessage << " Action complete -- NO FERMIONS FOR NOW -- FIXME"<< std::endl;
std::cout << GridLogMessage << " ************************************************"<< std::endl;
std::cout << GridLogMessage << std::endl;
std::cout << GridLogMessage << std::endl;
std::cout << GridLogMessage << " Running the FT HMC "<< std::endl;
TheHMC.TheAction.push_back(Level1);
TheHMC.TheAction.push_back(Level2);
TheHMC.TheAction.push_back(Level3);
TheHMC.Run(SmearingPolicy); // for smearing
Grid_finalize();
} // main

View File

@ -146,8 +146,6 @@ NAMESPACE_END(Grid);
int main(int argc, char **argv) {
using namespace Grid;
std::cout << " Grid Initialise "<<std::endl;
Grid_init(&argc, &argv);
CartesianCommunicator::BarrierWorld();
@ -172,24 +170,24 @@ int main(int argc, char **argv) {
IntegratorParameters MD;
// typedef GenericHMCRunner<LeapFrog> HMCWrapper;
// MD.name = std::string("Leap Frog");
// typedef GenericHMCRunner<ForceGradient> HMCWrapper;
// MD.name = std::string("Force Gradient");
typedef GenericHMCRunner<MinimumNorm2> HMCWrapper;
MD.name = std::string("MinimumNorm2");
typedef GenericHMCRunner<ForceGradient> HMCWrapper;
MD.name = std::string("Force Gradient");
//typedef GenericHMCRunner<MinimumNorm2> HMCWrapper;
// MD.name = std::string("MinimumNorm2");
// TrajL = 2
// 4/2 => 0.6 dH
// 3/3 => 0.8 dH .. depth 3, slower
//MD.MDsteps = 4;
MD.MDsteps = 14;
MD.MDsteps = 12;
MD.trajL = 0.5;
HMCparameters HMCparams;
HMCparams.StartTrajectory = 1077;
HMCparams.Trajectories = 20;
HMCparams.Trajectories = 1;
HMCparams.NoMetropolisUntil= 0;
// "[HotStart, ColdStart, TepidStart, CheckpointStart]\n";
HMCparams.StartingType =std::string("ColdStart");
// HMCparams.StartingType =std::string("CheckpointStart");
// HMCparams.StartingType =std::string("ColdStart");
HMCparams.StartingType =std::string("CheckpointStart");
HMCparams.MD = MD;
HMCWrapper TheHMC(HMCparams);
@ -225,7 +223,7 @@ int main(int argc, char **argv) {
Real pv_mass = 1.0;
// std::vector<Real> hasenbusch({ 0.01, 0.045, 0.108, 0.25, 0.51 , pv_mass });
// std::vector<Real> hasenbusch({ light_mass, 0.01, 0.045, 0.108, 0.25, 0.51 , pv_mass });
std::vector<Real> hasenbusch({ 0.005, 0.0145, 0.045, 0.108, 0.25, 0.51 }); // Updated
std::vector<Real> hasenbusch({ 0.005, 0.0145, 0.045, 0.108, 0.25, 0.51 , pv_mass }); // Updated
// std::vector<Real> hasenbusch({ light_mass, 0.0145, 0.045, 0.108, 0.25, 0.51 , 0.75 , pv_mass });
auto GridPtr = TheHMC.Resources.GetCartesian();
@ -277,10 +275,10 @@ int main(int argc, char **argv) {
// double StoppingCondition = 1e-14;
// double MDStoppingCondition = 1e-9;
double StoppingCondition = 1e-9;
double MDStoppingCondition = 1e-8;
double MDStoppingConditionLoose = 1e-8;
double MDStoppingConditionStrange = 1e-8;
double StoppingCondition = 1e-8;
double MDStoppingCondition = 1e-7;
double MDStoppingConditionLoose = 1e-7;
double MDStoppingConditionStrange = 1e-7;
double MaxCGIterations = 300000;
ConjugateGradient<FermionField> CG(StoppingCondition,MaxCGIterations);
ConjugateGradient<FermionField> MDCG(MDStoppingCondition,MaxCGIterations);

View File

@ -41,7 +41,7 @@ AC_PROG_RANLIB
############### Get compiler informations
AC_LANG([C++])
AX_CXX_COMPILE_STDCXX(14,noext,mandatory)
AX_CXX_COMPILE_STDCXX_11([noext],[mandatory])
AX_COMPILER_VENDOR
AC_DEFINE_UNQUOTED([CXX_COMP_VENDOR],["$ax_cv_cxx_compiler_vendor"],
[vendor of C++ compiler that will compile the code])
@ -191,28 +191,10 @@ case ${ac_Nc} in
AC_DEFINE([Config_Nc],[4],[Gauge group Nc]);;
5)
AC_DEFINE([Config_Nc],[5],[Gauge group Nc]);;
8)
AC_DEFINE([Config_Nc],[8],[Gauge group Nc]);;
*)
AC_MSG_ERROR(["Unsupport gauge group choice Nc = ${ac_Nc}"]);;
esac
############### Symplectic group
AC_ARG_ENABLE([Sp],
[AC_HELP_STRING([--enable-Sp=yes|no], [enable gauge group Sp2n])],
[ac_ENABLE_SP=${enable_Sp}], [ac_ENABLE_SP=no])
AM_CONDITIONAL(BUILD_SP, [ test "${ac_ENABLE_SP}X" == "yesX" ])
case ${ac_ENABLE_SP} in
yes)
AC_DEFINE([Sp2n_config],[1],[gauge group Sp2n], [have_sp2n=true]);;
no)
AC_DEFINE([Sp2n_config],[0],[gauge group SUn], [have_sp2n=false]);;
*)
AC_MSG_ERROR(["--enable-Sp is either yes or no"]);;
esac
############### FP16 conversions
AC_ARG_ENABLE([sfw-fp16],
[AS_HELP_STRING([--enable-sfw-fp16=yes|no],[enable software fp16 comms])],
@ -755,7 +737,7 @@ case ${ac_TIMERS} in
esac
############### Chroma regression test
AC_ARG_ENABLE([chroma],[AS_HELP_STRING([--enable-chroma],[Expect chroma compiled under c++14 ])],ac_CHROMA=yes,ac_CHROMA=no)
AC_ARG_ENABLE([chroma],[AS_HELP_STRING([--enable-chroma],[Expect chroma compiled under c++11 ])],ac_CHROMA=yes,ac_CHROMA=no)
case ${ac_CHROMA} in
yes|no)
@ -837,7 +819,6 @@ FFTW : `if test "x$have_fftw" = xtrue; then echo yes; els
LIME (ILDG support) : `if test "x$have_lime" = xtrue; then echo yes; else echo no; fi`
HDF5 : `if test "x$have_hdf5" = xtrue; then echo yes; else echo no; fi`
build DOXYGEN documentation : `if test "$DX_FLAG_doc" = '1'; then echo yes; else echo no; fi`
Sp2n : ${ac_ENABLE_SP}
----- BUILD FLAGS -------------------------------------
CXXFLAGS:
`echo ${AM_CXXFLAGS} ${CXXFLAGS} | tr ' ' '\n' | sed 's/^-/ -/g'`
@ -866,7 +847,6 @@ AC_CONFIG_FILES(tests/lanczos/Makefile)
AC_CONFIG_FILES(tests/smearing/Makefile)
AC_CONFIG_FILES(tests/qdpxx/Makefile)
AC_CONFIG_FILES(tests/testu01/Makefile)
AC_CONFIG_FILES(tests/sp2n/Makefile)
AC_CONFIG_FILES(benchmarks/Makefile)
AC_CONFIG_FILES(examples/Makefile)
AC_OUTPUT

Binary file not shown.

View File

@ -10,8 +10,9 @@ For first time setup of the Xcode and Grid build environment on Mac OS, you will
1. Install Xcode and the Xcode command-line utilities
2. Set Grid environment variables
3. Install and build Grid pre-requisites
4. Install, Configure and Build Grid
3. Install and build Open MPI ***optional***
4. Install and build Grid pre-requisites
5. Install, Configure and Build Grid
Apple's [Xcode website][Xcode] is the go-to reference for 1, and the definitive reference for 4 and 5 is the [Grid Documentation][GridDoc].
@ -91,33 +92,60 @@ launchctl setenv GridPkg /opt/local</string>
</plist>
```
## 3. Install and build Grid pre-requisites
## 3. Install and build Open MPI -- ***optional***
Download the latest version of [Open MPI][OMPI] version 3.1 (I used 3.1.5) and build it like so:
[OMPI]: https://www.open-mpi.org/software/ompi/v3.1/
../configure CC=clang CXX=clang++ CXXFLAGS=-g --prefix=$GridPre/bin
make -j 4 all install
***Note the `/bin` at the end of the prefix - this is required. As a quirk of the OpenMPI installer, `--prefix` must point to the `bin` subdirectory, with other files installed in `$GridPre/include`, `$GridPre/lib`, `$GridPre/share`, etc.***
Grid does not have any dependencies on fortran, however many standard scientific packages do, so you may wish to download GNU fortran (e.g. MacPorts ``gfortran`` package) and add the following to your configure invocation:
F77=gfortran FC=gfortran
## 4. Install and build Grid pre-requisites
To simplify the installation of **Grid pre-requisites**, you can use your favourite package manager, e.g.:
### 3.1. [MacPorts][MacPorts]
### 1. [MacPorts][MacPorts]
[MacPorts]: https://www.macports.org "MacPorts package manager"
Install [MacPorts][MacPorts] if you haven't done so already, and then install packages with:
sudo port install openmpi git-flow-avh gmp hdf5 mpfr fftw-3-single lapack wget autoconf automake bison cmake gawk libomp
sudo port install <portname>
On a Mac without GPUs:
These are the `portname`s for mandatory Grid libraries:
sudo port install OpenBLAS +native
* git-flow-avh
* gmp
* hdf5
* mpfr
To use `Gnu sha256sum`:
and these are the `portname`s for optional Grid libraries:
pushd /opt/local/bin; sudo ln -s gsha256sum sha256sum; popd
* fftw-3-single
* lapack
* doxygen
* OpenBLAS
These `port`s are not strictly necessary, but they are helpful:
***Please update this list with any packages I've missed! ... and double-check whether OpenBLAS is really for Grid. NB: lapack doesn't seem to work. Should it be scalapack?***
sudo port install gnuplot gsl h5utils nasm rclone texinfo tree xorg-server
### 2. [Homebrew][Homebrew]
***Please update this list with any packages I've missed!***
[Homebrew]: https://brew.sh "Homebrew package manager"
#### Install LIME
Install [Homebrew][Homebrew] if you haven't done so already, and then install packages with:
sudo brew install <packagename>
The same packages are available as from MacPorts.
### Install LIME ***optional***
There isn't currently a port for [C-LIME][C-LIME], so download the source and then build it:
@ -126,19 +154,9 @@ There isn't currently a port for [C-LIME][C-LIME], so download the source and th
../configure CC=clang --prefix=$GridPre
make -j 4 all install
### 3.2. [Homebrew][Homebrew]
## 5. Install, Configure and Build Grid
[Homebrew]: https://brew.sh "Homebrew package manager"
Install [Homebrew][Homebrew] if you haven't done so already, and then install packages with:
sudo brew install <packagename>
I don't use Homebrew, so I'm not sure what the Brew package name equivalents are. ** Please update if you know **
## 4. Install, Configure and Build Grid
### 4.1 Install Grid
### 5.1 Install Grid
[Grid]: https://github.com/paboyle/Grid
@ -156,7 +174,7 @@ or
depending on how many times you like to enter your password.
### 4.2 Configure Grid
### 5.2 Configure Grid
The Xcode build system supports multiple configurations for each project, by default: `Debug` and `Release`, but more configurations can be defined. We will create separate Grid build directories for each configuration, using the Grid **Autoconf** build system to make each configuration. NB: it is **not** necessary to run `make install` on them once they are built (IDE features such as *jump to definition* will work better of you don't).
@ -180,7 +198,7 @@ Debug configuration with MPI:
../configure CXX=clang++ CXXFLAGS="-I$GridPkg/include/libomp -Xpreprocessor -fopenmp -std=c++11" LDFLAGS="-L$GridPkg/lib/libomp" LIBS="-lomp" --with-hdf5=$GridPkg --with-gmp=$GridPkg --with-mpfr=$GridPkg --with-fftw=$GridPkg --with-lime=$GridPre --enable-simd=GEN --enable-comms=mpi-auto MPICXX=$GridPre/bin/mpicxx --prefix=$GridPre/MPIDebug
### 4.3 Build Grid
### 5.3 Build Grid
Each configuration must be built before they can be used. You can either:

View File

@ -2778,81 +2778,47 @@ and there are associated reconstruction routines for assembling four spinors fro
These ca
Gauge Group
SU(N)
--------
A generic Nc qcd/utils/GaugeGroup.h is provided. This defines a template class that can be specialised to different gauge groups::
template <int ncolour, class group_name>
class GaugeGroup {...}
A generic Nc qcd/utils/SUn.h is provided. This defines a template class::
Supported groups are SU(N) and Sp(2N). The group can be specified through the GroupName namespace::
template <int ncolour> class SU ;
namespace GroupName {
class SU {};
class Sp {};
}
The most important external methods are::
A simpler interface is achieved by aliasing the GaugeGroup class with a specific group::
template <int ncolour>
using SU = GaugeGroup<ncolour, GroupName::SU>;
template <int ncolour>
using Sp = GaugeGroup<ncolour, GroupName::Sp>;
Specific aliases are then defined::
typedef SU<2> SU2;
typedef SU<3> SU3;
typedef SU<4> SU4;
typedef SU<5> SU5;
typedef Sp<2> Sp2;
typedef Sp<4> Sp4;
typedef Sp<6> Sp6;
typedef Sp<8> Sp8;
Some methods are common to both gauge groups. Common external methods are::
template <class cplx> static void generator(int lieIndex, iSUnMatrix<cplx> &ta) ;
static void GaussianFundamentalLieAlgebraMatrix(GridParallelRNG &pRNG, LatticeMatrix &out, Real scale = 1.0) ;
static void HotConfiguration(GridParallelRNG &pRNG, GaugeField &out) ;
static void TepidConfiguration(GridParallelRNG &pRNG,GaugeField &out);
static void ColdConfiguration(GaugeField &out);
static void taProj( const LatticeMatrixType &in, LatticeMatrixType &out);
static void taExp(const LatticeMatrixType &x, LatticeMatrixType &ex) ;
static void printGenerators(void) ;
Whenever needed, a different implementation of these methods for the gauge groups is achieved by overloading. For example,::
template <typename LatticeMatrixType> // shared interface for the traceless-antihermitian projection
static void taProj(const LatticeMatrixType &in, LatticeMatrixType &out) {
taProj(in, out, group_name());
}
template <typename LatticeMatrixType> // overloaded function to SU(N) simply perform Ta
static void taProj(const LatticeMatrixType &in, LatticeMatrixType &out, GroupName::SU) {
out = Ta(in);
}
template <typename LatticeMatrixType> // overloaded function to Sp(2N) must use a modified Ta function
static void taProj(const LatticeMatrixType &in, LatticeMatrixType &out, GroupName::Sp) {
out = SpTa(in);
}
Gauge Group: SU(N)
--------
The specialisation of GaugeGroup to SU(N), formally part of qcd/utils/GaugeGroup.h, is found in the file qcd/utils/SUn.impl
It contains methods that are only implemented for SU(N), and specialisations of shared methods to the special unitary group
Public methods are::
template <class cplx> static void generator(int lieIndex, iSUnMatrix<cplx> &ta) ;
static void SubGroupHeatBath(GridSerialRNG &sRNG, GridParallelRNG &pRNG, RealD beta, // coeff multiplying staple in action (with no 1/Nc)
LatticeMatrix &link,
const LatticeMatrix &barestaple, // multiplied by action coeffs so th
int su2_subgroup, int nheatbath, LatticeInteger &wheremask);
static void GaussianFundamentalLieAlgebraMatrix(GridParallelRNG &pRNG,
LatticeMatrix &out,
Real scale = 1.0) ;
static void GaugeTransform( GaugeField &Umu, GaugeMat &g)
static void RandomGaugeTransform(GridParallelRNG &pRNG, GaugeField &Umu, GaugeMat &g);
static void HotConfiguration(GridParallelRNG &pRNG, GaugeField &out) ;
static void TepidConfiguration(GridParallelRNG &pRNG,GaugeField &out);
static void ColdConfiguration(GaugeField &out);
static void taProj( const LatticeMatrixType &in, LatticeMatrixType &out);
static void taExp(const LatticeMatrixType &x, LatticeMatrixType &ex) ;
static int su2subgroups(void) ; // returns how many subgroups
Specific instantiations are defined::
typedef SU<2> SU2;
typedef SU<3> SU3;
typedef SU<4> SU4;
typedef SU<5> SU5;
For example, Quenched QCD updating may be run as (tests/core/Test_quenched_update.cc)::
for(int sweep=0;sweep<1000;sweep++){
@ -2891,16 +2857,6 @@ For example, Quenched QCD updating may be run as (tests/core/Test_quenched_updat
}
}
Gauge Group: Sp(2N)
--------
The specialisation of GaugeGroup to Sp(2N), formally part of qcd/utils/GaugeGroup.h, is found in the file qcd/utils/Sp(2N).impl
It contains methods that are only implemented for Sp(2N), and specialisations of shared methods to the special unitary group
External methods are::
static void Omega(LatticeColourMatrixD &in) // Symplectic matrix left invariant by Sp(2N)
Generation of Sp(2N) gauge fields is only supported via HMC.
Space time grids
----------------

View File

@ -15,8 +15,6 @@ STAG_FERMION_FILES=` find . -name '*.cc' -path '*/instantiation/*' -path '*/ins
GP_FERMION_FILES=` find . -name '*.cc' -path '*/instantiation/*' -path '*/instantiation/Gparity*' `
ADJ_FERMION_FILES=` find . -name '*.cc' -path '*/instantiation/*' -path '*/instantiation/WilsonAdj*' `
TWOIND_FERMION_FILES=`find . -name '*.cc' -path '*/instantiation/*' -path '*/instantiation/WilsonTwoIndex*'`
SP_FERMION_FILES=`find . -name '*.cc' -path '*/instantiation/*' -path '*/instantiation/SpWilsonImpl*'`
SP_TWOIND_FERMION_FILES=`find . -name '*.cc' -path '*/instantiation/*' -path '*/instantiation/SpWilsonTwo*'`
HPPFILES=`find . -type f -name '*.hpp'`
echo HFILES=$HFILES $HPPFILES > Make.inc
@ -29,14 +27,13 @@ echo STAG_FERMION_FILES=$STAG_FERMION_FILES >> Make.inc
echo GP_FERMION_FILES=$GP_FERMION_FILES >> Make.inc
echo ADJ_FERMION_FILES=$ADJ_FERMION_FILES >> Make.inc
echo TWOIND_FERMION_FILES=$TWOIND_FERMION_FILES >> Make.inc
echo SP_FERMION_FILES=$SP_FERMION_FILES >> Make.inc
echo SP_TWOIND_FERMION_FILES=$SP_TWOIND_FERMION_FILES >> Make.inc
# tests Make.inc
cd $home/tests
dirs=`find . -type d -not -path '*/\.*'`
for subdir in $dirs; do
cd $home/tests/$subdir
pwd
TESTS=`ls T*.cc`
TESTLIST=`echo ${TESTS} | sed s/.cc//g `
PREF=`[ $subdir = '.' ] && echo noinst || echo EXTRA`

View File

@ -1,43 +0,0 @@
#!/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

@ -1,23 +0,0 @@
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 "

View File

@ -1,13 +0,0 @@
#!/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 "
$*

View File

@ -1,13 +0,0 @@
. /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

View File

@ -1,9 +0,0 @@
#!/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 $@
$@

View File

@ -1,44 +0,0 @@
#!/bin/bash -l
#SBATCH --job-name=bench_lehner
#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=project_465000546
#SBATCH --gpu-bind=none
#SBATCH --exclusive
#SBATCH --mem=0
CPU_BIND="map_cpu:48,56,32,40,16,24,1,8"
echo $CPU_BIND
cat << EOF > select_gpu
#!/bin/bash
export GPU_MAP=(0 1 2 3 4 5 6 7)
export GPU=\${GPU_MAP[\$SLURM_LOCALID]}
export HIP_VISIBLE_DEVICES=\$GPU
unset ROCR_VISIBLE_DEVICES
echo RANK \$SLURM_LOCALID using GPU \$GPU
exec \$*
EOF
chmod +x ./select_gpu
root=/scratch/project_465000546/boylepet/Grid/systems/Lumi
source ${root}/sourceme.sh
export OMP_NUM_THREADS=7
export MPICH_GPU_SUPPORT_ENABLED=1
export MPICH_SMP_SINGLE_COPY_MODE=XPMEM
for vol in 16.16.16.64 32.32.32.64 32.32.32.128
do
srun --cpu-bind=${CPU_BIND} ./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 --cpu-bind=${CPU_BIND} ./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 --cpu-bind=${CPU_BIND} ./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 --cpu-bind=${CPU_BIND} ./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

@ -3,28 +3,30 @@ spack load gmp
spack load mpfr
CLIME=`spack find --paths c-lime | grep c-lime| cut -c 15-`
GMP=`spack find --paths gmp | grep gmp | cut -c 12-`
MPFR=`spack find --paths mpfr | grep mpfr | cut -c 13-`
echo clime X$CLIME
echo gmp X$GMP
echo mpfr X$MPFR
MPFR=`spack find --paths mpfr | grep mpfr | cut -c 12-`
echo clime $CLIME
echo gmp $GMP
echo mpfr $MPFR
../../configure \
--enable-comms=mpi-auto \
../../configure --enable-comms=mpi-auto \
--with-lime=$CLIME \
--enable-unified=no \
--enable-shm=nvlink \
--enable-tracing=timer \
--enable-accelerator=hip \
--enable-gen-simd-width=64 \
--enable-simd=GPU \
--enable-accelerator-cshift \
--with-gmp=$GMP \
--with-mpfr=$MPFR \
--disable-accelerator-cshift \
--with-gmp=$OLCF_GMP_ROOT \
--with-fftw=$FFTW_DIR/.. \
--with-mpfr=/opt/cray/pe/gcc/mpfr/3.1.4/ \
--disable-fermion-reps \
--disable-gparity \
CXX=hipcc MPICXX=mpicxx \
CXXFLAGS="-fPIC --offload-arch=gfx90a -I/opt/rocm/include/ -std=c++14 -I/opt/cray/pe/mpich/8.1.23/ofi/gnu/9.1/include" \
LDFLAGS="-L/opt/cray/pe/mpich/8.1.23/ofi/gnu/9.1/lib -lmpi -L/opt/cray/pe/mpich/8.1.23/gtl/lib -lmpi_gtl_hsa -lamdhip64 -fopenmp"
CXXFLAGS="-fPIC -I{$ROCM_PATH}/include/ -std=c++14 -I${MPICH_DIR}/include -L/lib64 --amdgpu-target=gfx90a" \
LDFLAGS="-L/lib64 -L/opt/rocm-5.2.0/lib/ -L${MPICH_DIR}/lib -lmpi -L${CRAY_MPICH_ROOTDIR}/gtl/lib -lmpi_gtl_hsa -lamdhip64 --amdgpu-target=gfx90a "
#--enable-simd=GPU-RRII \

View File

@ -1,5 +1 @@
source ~/spack/share/spack/setup-env.sh
module load CrayEnv LUMI/22.12 partition/G cray-fftw/3.3.10.1 rocm
spack load c-lime
spack load gmp
spack load mpfr
module load CrayEnv LUMI/22.12 partition/G cray-fftw/3.3.10.1

View File

@ -1,53 +0,0 @@
1. Prerequisites:
===================
Make sure you have the latest Intel ipcx release loaded (via modules or similar)
Make sure you have SYCL aware MPICH or Intel MPI loaded (assumed as mpicxx)
2. Obtain Grid:
===================
bash$
git clone https://github.com/paboyle/Grid
cd Grid
./bootstrap.sh
cd systems/PVC
3. Build Grid:
===================
Here, configure command is stored in file config-command:
bash$
../../configure \
--enable-simd=GPU \
--enable-gen-simd-width=64 \
--enable-comms=mpi-auto \
--enable-accelerator-cshift \
--disable-gparity \
--disable-fermion-reps \
--enable-shm=nvlink \
--enable-accelerator=sycl \
--enable-unified=no \
MPICXX=mpicxx \
CXX=icpx \
LDFLAGS="-fiopenmp -fsycl -fsycl-device-code-split=per_kernel -fsycl-device-lib=all -lze_loader " \
CXXFLAGS="-fiopenmp -fsycl-unnamed-lambda -fsycl -Wno-tautological-compare "
make all
4. Run a benchmark:
===================
*** Assumes interactive access to node. ***
run Benchmark_dwf_fp32 using benchmarks/bench.sh
bash$
cd benchmarks
./bench.sh

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