mirror of
https://github.com/paboyle/Grid.git
synced 2026-08-26 04:19:37 +01:00
Updated to compile and run fast on CUDA
This commit is contained in:
+35
-383
@@ -62,7 +62,7 @@ public:
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const FermionField *rhs_vj,
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std::vector<Gamma::Algebra> gammas,
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const std::vector<ComplexField > &mom,
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int orthogdim, double *t_kernel = nullptr, double *t_gsum = nullptr);
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int orthogdim);
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template <typename TensorType> // output: rank 5 tensor, e.g. Eigen::Tensor<ComplexD, 5>
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static void AslashField(TensorType &mat,
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@@ -70,7 +70,7 @@ public:
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const FermionField *rhs_vj,
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const std::vector<ComplexField> &emB0,
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const std::vector<ComplexField> &emB1,
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int orthogdim, double *t_kernel = nullptr, double *t_gsum = nullptr);
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int orthogdim);
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template <typename TensorType>
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typename std::enable_if<(std::is_same<Eigen::Tensor<ComplexD,3>, TensorType>::value ||
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@@ -136,7 +136,7 @@ typedef iVecComplex<vComplex > vVecComplex;
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typedef Lattice<vVecComplex> LatticeVecComplex;
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#define A2A_GPU_KERNELS
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#ifdef A2A_GPU_KERNELS
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template <class FImpl>
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template <typename TensorType>
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void A2Autils<FImpl>::MesonField(TensorType &mat,
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@@ -144,7 +144,7 @@ void A2Autils<FImpl>::MesonField(TensorType &mat,
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const FermionField *rhs_vj,
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std::vector<Gamma::Algebra> gammas,
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const std::vector<ComplexField > &mom,
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int orthogdim, double *t_kernel, double *t_gsum)
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int orthogdim)
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{
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const int block=A2Ablocking;
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typedef typename FImpl::SiteSpinor vobj;
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@@ -173,24 +173,34 @@ void A2Autils<FImpl>::MesonField(TensorType &mat,
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std::cout <<GridLogMessage<< "A2A Meson Field"<<std::endl;
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MomentumProject<LatticeVecSpinMatrix,ComplexField> MP;
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std::cout <<GridLogMessage<< "Momentum project constructed"<<std::endl;
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MP.Allocate(Nmom,grid);
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std::cout <<GridLogMessage<< "Momentum project allocated"<<std::endl;
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MP.ImportMomenta(mom);
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std::cout <<GridLogMessage<< "Momentum project momenta imported"<<std::endl;
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double t_view, t_gamma, t_kernel, t_momproj;
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t_view=0;
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t_gamma=0;
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t_kernel=0;
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t_momproj=0;
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std::vector<VecSpinMatrix> sliced;
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for(int i=0;i<Lblock;i++){
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t_view -= usecond();
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autoView(SpinMat_v,SpinMat,AcceleratorWrite);
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autoView(lhs_v,lhs_wi[i],AcceleratorRead);
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t_view += usecond();
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for(int jo=0;jo<Rblock;jo+=block){
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for(int j=jo;j<MIN(Rblock,jo+block);j++){
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int jj=j%block;
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t_view -= usecond();
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autoView(rhs_v,rhs_vj[j],AcceleratorRead); // Create a vector of views
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t_view += usecond();
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//////////////////////////////////////////
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// Should write a SpinOuterColorTrace
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//////////////////////////////////////////
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t_kernel -= usecond();
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accelerator_for(ss,grid->oSites(),(size_t)Nsimd,{
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auto left = conjugate(lhs_v(ss));
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auto right = rhs_v(ss);
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@@ -203,48 +213,38 @@ void A2Autils<FImpl>::MesonField(TensorType &mat,
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}}
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coalescedWrite(SpinMat_v[ss],vv);
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});
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t_kernel += usecond();
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}// j within block
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// After getting the sitewise product do the mom phase loop
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#if 1
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std::cout <<GridLogMessage<< "A2A contract "<<std::endl;
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assert(orthogdim==Nd-1);
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t_momproj -= usecond();
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MP.Project(SpinMat,sliced);
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std::cout <<GridLogMessage<< "A2A MP Project "<<std::endl;
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for(int m=0;m<Nmom;m++){
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for(int t=0;t<Nt;t++){
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t_momproj += usecond();
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t_gamma -= usecond();
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thread_for2d( m, Nmom,t,Nt,{
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// for(int m=0;m<Nmom;m++)
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// for(int t=0;t<Nt;t++)
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int idx = t+m*Nt;
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for(int j=jo;j<MIN(Rblock,jo+block);j++){
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int jj=j%block;
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auto tmp = peekIndex<LorentzIndex>(sliced[idx],jj);
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for(int mu=0;mu<Ngamma;mu++){
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auto trSG = trace(tmp*Gamma(gammas[mu]));
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mat(m,mu,t,i,j) = trSG()();
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mat((long)m,mu,(long)t,i,j) = trSG()();
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}
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}
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}
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}
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#else
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for(int m=0;m<Nmom;m++){
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MomSpinMat = SpinMat * mom[m];
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sliceSum(MomSpinMat,sliced,orthogdim);
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for(int mu=0;mu<Ngamma;mu++){
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for(int t=0;t<sliced.size();t++){
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for(int j=jo;j<MIN(Rblock,jo+block);j++){
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int jj=j%block;
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auto tmp = peekIndex<LorentzIndex>(sliced[t],jj);
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auto trSG = trace(tmp*Gamma(gammas[mu]));
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mat(m,mu,t,i,j) = trSG()();
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}
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}
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}
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}
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#endif
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});
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t_gamma += usecond();
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}//jo
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}
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std::cout << GridLogMessage<<" A2A::MesonField t_view "<<t_view/1e6<<"s"<<std::endl;
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std::cout << GridLogMessage<<" A2A::MesonField t_momproj "<<t_momproj/1e6<<"s"<<std::endl;
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std::cout << GridLogMessage<<" A2A::MesonField t_kernel "<<t_kernel/1e6<<"s"<<std::endl;
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std::cout << GridLogMessage<<" A2A::MesonField t_gamma "<<t_gamma/1e6<<"s"<<std::endl;
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}
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// "A-slash" field w_i(x)^dag * i * A_mu * gamma_mu * v_j(x)
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@@ -268,7 +268,7 @@ void A2Autils<FImpl>::AslashField(TensorType &mat,
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const FermionField *rhs_vj,
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const std::vector<ComplexField> &emB0,
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const std::vector<ComplexField> &emB1,
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int orthogdim, double *t_kernel, double *t_gsum)
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int orthogdim)
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{
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const int block=A2Ablocking;
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typedef typename FImpl::SiteSpinor vobj;
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@@ -355,354 +355,6 @@ void A2Autils<FImpl>::AslashField(TensorType &mat,
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}
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}
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#else
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template <class FImpl>
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template <typename TensorType>
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void A2Autils<FImpl>::MesonField(TensorType &mat,
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const FermionField *lhs_wi,
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const FermionField *rhs_vj,
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std::vector<Gamma::Algebra> gammas,
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const std::vector<ComplexField > &mom,
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int orthogdim, double *t_kernel, double *t_gsum)
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{
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typedef typename FImpl::SiteSpinor vobj;
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typedef typename vobj::scalar_object sobj;
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typedef typename vobj::scalar_type scalar_type;
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typedef typename vobj::vector_type vector_type;
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typedef iSpinMatrix<vector_type> SpinMatrix_v;
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typedef iSpinMatrix<scalar_type> SpinMatrix_s;
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int Lblock = mat.dimension(3);
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int Rblock = mat.dimension(4);
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GridBase *grid = lhs_wi[0].Grid();
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const int Nd = grid->_ndimension;
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const int Nsimd = grid->Nsimd();
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int Nt = grid->GlobalDimensions()[orthogdim];
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int Ngamma = gammas.size();
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int Nmom = mom.size();
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int fd=grid->_fdimensions[orthogdim];
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int ld=grid->_ldimensions[orthogdim];
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int rd=grid->_rdimensions[orthogdim];
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// will locally sum vectors first
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// sum across these down to scalars
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// splitting the SIMD
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int MFrvol = rd*Lblock*Rblock*Nmom;
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int MFlvol = ld*Lblock*Rblock*Nmom;
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std::vector<SpinMatrix_v > lvSum(MFrvol);
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for(int r=0;r<MFrvol;r++){
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lvSum[r] = Zero();
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}
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std::vector<SpinMatrix_s > lsSum(MFlvol);
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for(int r=0;r<MFlvol;r++){
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lsSum[r]=scalar_type(0.0);
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}
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int e1= grid->_slice_nblock[orthogdim];
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int e2= grid->_slice_block [orthogdim];
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int stride=grid->_slice_stride[orthogdim];
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// potentially wasting cores here if local time extent too small
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if (t_kernel) *t_kernel = -usecond();
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for(int r=0;r<rd;r++) {
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int so=r*grid->_ostride[orthogdim]; // base offset for start of plane
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for(int n=0;n<e1;n++){
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for(int b=0;b<e2;b++){
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int ss= so+n*stride+b;
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for(int i=0;i<Lblock;i++){
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// Recreate view potentially expensive outside fo UVM mode
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autoView(lhs_v,lhs_wi[i],CpuRead);
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auto left = conjugate(lhs_v[ss]);
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for(int j=0;j<Rblock;j++){
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SpinMatrix_v vv;
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// Recreate view potentially expensive outside fo UVM mode
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autoView(rhs_v,rhs_vj[j],CpuRead);
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auto right = rhs_v[ss];
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for(int s1=0;s1<Ns;s1++){
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for(int s2=0;s2<Ns;s2++){
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vv()(s1,s2)() = left()(s2)(0) * right()(s1)(0)
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+ left()(s2)(1) * right()(s1)(1)
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+ left()(s2)(2) * right()(s1)(2);
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}}
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// After getting the sitewise product do the mom phase loop
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int base = Nmom*i+Nmom*Lblock*j+Nmom*Lblock*Rblock*r;
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for ( int m=0;m<Nmom;m++){
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int idx = m+base;
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autoView(mom_v,mom[m],CpuRead);
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auto phase = mom_v[ss];
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mac(&lvSum[idx],&vv,&phase);
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}
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}
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}
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}
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}
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};
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// Sum across simd lanes in the plane, breaking out orthog dir.
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for(int rt=0;rt<rd;rt++){
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Coordinate icoor(Nd);
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ExtractBuffer<SpinMatrix_s> extracted(Nsimd);
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for(int i=0;i<Lblock;i++){
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for(int j=0;j<Rblock;j++){
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for(int m=0;m<Nmom;m++){
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int ij_rdx = m+Nmom*i+Nmom*Lblock*j+Nmom*Lblock*Rblock*rt;
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extract(lvSum[ij_rdx],extracted);
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for(int idx=0;idx<Nsimd;idx++){
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grid->iCoorFromIindex(icoor,idx);
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int ldx = rt+icoor[orthogdim]*rd;
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int ij_ldx = m+Nmom*i+Nmom*Lblock*j+Nmom*Lblock*Rblock*ldx;
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lsSum[ij_ldx]=lsSum[ij_ldx]+extracted[idx];
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}
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}}}
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}
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if (t_kernel) *t_kernel += usecond();
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GRID_ASSERT(mat.dimension(0) == Nmom);
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GRID_ASSERT(mat.dimension(1) == Ngamma);
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GRID_ASSERT(mat.dimension(2) == Nt);
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// ld loop and local only??
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int pd = grid->_processors[orthogdim];
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int pc = grid->_processor_coor[orthogdim];
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thread_for_collapse(2,lt,ld,{
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for(int pt=0;pt<pd;pt++){
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int t = lt + pt*ld;
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if (pt == pc){
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for(int i=0;i<Lblock;i++){
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for(int j=0;j<Rblock;j++){
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for(int m=0;m<Nmom;m++){
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int ij_dx = m+Nmom*i + Nmom*Lblock * j + Nmom*Lblock * Rblock * lt;
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for(int mu=0;mu<Ngamma;mu++){
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// this is a bit slow
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mat(m,mu,t,i,j) = trace(lsSum[ij_dx]*Gamma(gammas[mu]))()()();
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}
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}
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}
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}
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} else {
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const scalar_type zz(0.0);
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for(int i=0;i<Lblock;i++){
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for(int j=0;j<Rblock;j++){
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for(int mu=0;mu<Ngamma;mu++){
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for(int m=0;m<Nmom;m++){
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mat(m,mu,t,i,j) =zz;
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}
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}
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}
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}
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}
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}
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});
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////////////////////////////////////////////////////////////////////
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// This global sum is taking as much as 50% of time on 16 nodes
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// Vector size is 7 x 16 x 32 x 16 x 16 x sizeof(complex) = 2MB - 60MB depending on volume
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// Healthy size that should suffice
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////////////////////////////////////////////////////////////////////
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if (t_gsum) *t_gsum = -usecond();
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grid->GlobalSumVector(&mat(0,0,0,0,0),Nmom*Ngamma*Nt*Lblock*Rblock);
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if (t_gsum) *t_gsum += usecond();
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}
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template <class FImpl>
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template <typename TensorType>
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void A2Autils<FImpl>::AslashField(TensorType &mat,
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const FermionField *lhs_wi,
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const FermionField *rhs_vj,
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const std::vector<ComplexField> &emB0,
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const std::vector<ComplexField> &emB1,
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int orthogdim, double *t_kernel, double *t_gsum)
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{
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typedef typename FermionField::vector_object vobj;
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typedef typename vobj::scalar_object sobj;
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typedef typename vobj::scalar_type scalar_type;
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typedef typename vobj::vector_type vector_type;
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typedef iSpinMatrix<vector_type> SpinMatrix_v;
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typedef iSpinMatrix<scalar_type> SpinMatrix_s;
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typedef iSinglet<vector_type> Singlet_v;
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typedef iSinglet<scalar_type> Singlet_s;
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int Lblock = mat.dimension(3);
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int Rblock = mat.dimension(4);
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GridBase *grid = lhs_wi[0].Grid();
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const int Nd = grid->_ndimension;
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const int Nsimd = grid->Nsimd();
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int Nt = grid->GlobalDimensions()[orthogdim];
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int Nem = emB0.size();
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GRID_ASSERT(emB1.size() == Nem);
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int fd=grid->_fdimensions[orthogdim];
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int ld=grid->_ldimensions[orthogdim];
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int rd=grid->_rdimensions[orthogdim];
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// will locally sum vectors first
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// sum across these down to scalars
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// splitting the SIMD
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int MFrvol = rd*Lblock*Rblock*Nem;
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int MFlvol = ld*Lblock*Rblock*Nem;
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std::vector<vector_type> lvSum(MFrvol);
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thread_for(r,MFrvol,
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{
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lvSum[r] = Zero();
|
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});
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std::vector<scalar_type> lsSum(MFlvol);
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thread_for(r,MFlvol,
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{
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lsSum[r] = scalar_type(0.0);
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});
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int e1= grid->_slice_nblock[orthogdim];
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int e2= grid->_slice_block [orthogdim];
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int stride=grid->_slice_stride[orthogdim];
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// Nested parallelism would be ok
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// Wasting cores here. Test case r
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if (t_kernel) *t_kernel = -usecond();
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for(int r=0;r<rd;r++)
|
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{
|
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int so=r*grid->_ostride[orthogdim]; // base offset for start of plane
|
||||
|
||||
for(int n=0;n<e1;n++)
|
||||
for(int b=0;b<e2;b++)
|
||||
{
|
||||
int ss= so+n*stride+b;
|
||||
|
||||
for(int i=0;i<Lblock;i++)
|
||||
{
|
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autoView(wi_v,lhs_wi[i],CpuRead);
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auto left = conjugate(wi_v[ss]);
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|
||||
for(int j=0;j<Rblock;j++)
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{
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SpinMatrix_v vv;
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autoView(vj_v,rhs_vj[j],CpuRead);
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auto right = vj_v[ss];
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|
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for(int s1=0;s1<Ns;s1++)
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for(int s2=0;s2<Ns;s2++)
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{
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vv()(s1,s2)() = left()(s2)(0) * right()(s1)(0)
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+ left()(s2)(1) * right()(s1)(1)
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+ left()(s2)(2) * right()(s1)(2);
|
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}
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||||
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||||
// After getting the sitewise product do the mom phase loop
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int base = Nem*i+Nem*Lblock*j+Nem*Lblock*Rblock*r;
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||||
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for ( int m=0;m<Nem;m++)
|
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{
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autoView(emB0_v,emB0[m],CpuRead);
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autoView(emB1_v,emB1[m],CpuRead);
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int idx = m+base;
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auto b0 = emB0_v[ss];
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auto b1 = emB1_v[ss];
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auto cb0 = conjugate(b0);
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auto cb1 = conjugate(b1);
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||||
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||||
lvSum[idx] += - vv()(3,0)()*b0()()() - vv()(2,0)()*cb1()()()
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+ vv()(3,1)()*b1()()() - vv()(2,1)()*cb0()()()
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||||
+ vv()(0,2)()*b1()()() + vv()(1,2)()*b0()()()
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+ vv()(0,3)()*cb0()()() - vv()(1,3)()*cb1()()();
|
||||
}
|
||||
}
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}
|
||||
}
|
||||
}
|
||||
|
||||
// Sum across simd lanes in the plane, breaking out orthog dir.
|
||||
thread_for(rt,rd,
|
||||
{
|
||||
Coordinate icoor(Nd);
|
||||
ExtractBuffer<scalar_type> extracted(Nsimd);
|
||||
|
||||
for(int i=0;i<Lblock;i++)
|
||||
for(int j=0;j<Rblock;j++)
|
||||
for(int m=0;m<Nem;m++)
|
||||
{
|
||||
|
||||
int ij_rdx = m+Nem*i+Nem*Lblock*j+Nem*Lblock*Rblock*rt;
|
||||
|
||||
extract<vector_type,scalar_type>(lvSum[ij_rdx],extracted);
|
||||
for(int idx=0;idx<Nsimd;idx++)
|
||||
{
|
||||
grid->iCoorFromIindex(icoor,idx);
|
||||
|
||||
int ldx = rt+icoor[orthogdim]*rd;
|
||||
int ij_ldx = m+Nem*i+Nem*Lblock*j+Nem*Lblock*Rblock*ldx;
|
||||
|
||||
lsSum[ij_ldx]=lsSum[ij_ldx]+extracted[idx];
|
||||
}
|
||||
}
|
||||
});
|
||||
if (t_kernel) *t_kernel += usecond();
|
||||
|
||||
// ld loop and local only??
|
||||
int pd = grid->_processors[orthogdim];
|
||||
int pc = grid->_processor_coor[orthogdim];
|
||||
thread_for_collapse(2,lt,ld,
|
||||
{
|
||||
for(int pt=0;pt<pd;pt++)
|
||||
{
|
||||
int t = lt + pt*ld;
|
||||
if (pt == pc)
|
||||
{
|
||||
for(int i=0;i<Lblock;i++)
|
||||
for(int j=0;j<Rblock;j++)
|
||||
for(int m=0;m<Nem;m++)
|
||||
{
|
||||
int ij_dx = m+Nem*i + Nem*Lblock * j + Nem*Lblock * Rblock * lt;
|
||||
|
||||
mat(m,0,t,i,j) = lsSum[ij_dx];
|
||||
}
|
||||
}
|
||||
else
|
||||
{
|
||||
const scalar_type zz(0.0);
|
||||
|
||||
for(int i=0;i<Lblock;i++)
|
||||
for(int j=0;j<Rblock;j++)
|
||||
for(int m=0;m<Nem;m++)
|
||||
{
|
||||
mat(m,0,t,i,j) = zz;
|
||||
}
|
||||
}
|
||||
}
|
||||
});
|
||||
if (t_gsum) *t_gsum = -usecond();
|
||||
grid->GlobalSumVector(&mat(0,0,0,0,0),Nem*Nt*Lblock*Rblock);
|
||||
if (t_gsum) *t_gsum += usecond();
|
||||
}
|
||||
#endif
|
||||
////////////////////////////////////////////
|
||||
// Schematic thoughts about more generalised four quark insertion
|
||||
//
|
||||
|
||||
Reference in New Issue
Block a user