mirror of
https://github.com/paboyle/Grid.git
synced 2025-08-18 04:01:53 +01:00
Updated to compile and run fast on CUDA
This commit is contained in:
@@ -111,6 +111,7 @@ public:
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default:
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GRID_ASSERT(0);
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}
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return CUBLAS_COMPUTE_32F_FAST_16F;
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}
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#endif
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// Force construct once
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@@ -228,6 +228,11 @@ public:
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//
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void Project(Field &data,std::vector< typename Field::scalar_object > & projected_gdata)
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{
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double t_import=0;
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double t_export=0;
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double t_gemm =0;
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double t_allreduce=0;
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t_import-=usecond();
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this->ImportVector(data);
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std::vector< typename Field::scalar_object > projected_planes;
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@@ -243,12 +248,14 @@ public:
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acceleratorPut(Vd[0],Vh);
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acceleratorPut(Md[0],Mh);
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acceleratorPut(Pd[0],Ph);
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t_import+=usecond();
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GridBLAS BLAS;
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/////////////////////////////////////////
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// P_im = VMmx . Vxi
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/////////////////////////////////////////
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t_gemm-=usecond();
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BLAS.gemmBatched(GridBLAS_OP_N,GridBLAS_OP_N,
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words*nt,nmom,nxyz,
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scalar(1.0),
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@@ -257,8 +264,11 @@ public:
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scalar(0.0), // wipe out result
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Pd);
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BLAS.synchronise();
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t_gemm+=usecond();
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t_export-=usecond();
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ExportMomentumProjection(projected_planes); // resizes
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t_export+=usecond();
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/////////////////////////////////
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// Reduce across MPI ranks
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@@ -275,7 +285,15 @@ public:
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int st = grid->LocalStarts()[nd-1];
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projected_gdata[t+st + gt*m] = projected_planes[t+lt*m];
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}}
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t_allreduce-=usecond();
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grid->GlobalSumVector((scalar *)&projected_gdata[0],gt*nmom*words);
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t_allreduce+=usecond();
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std::cout << GridLogPerformance<<" MomentumProject t_import "<<t_import<<"us"<<std::endl;
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std::cout << GridLogPerformance<<" MomentumProject t_export "<<t_export<<"us"<<std::endl;
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std::cout << GridLogPerformance<<" MomentumProject t_gemm "<<t_gemm<<"us"<<std::endl;
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std::cout << GridLogPerformance<<" MomentumProject t_reduce "<<t_allreduce<<"us"<<std::endl;
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}
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};
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@@ -10,7 +10,7 @@ class LatticeBase {};
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/////////////////////////////////////////////////////////////////////////////////////////
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void accelerator_inline conformable(GridBase *lhs,GridBase *rhs)
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{
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GRID_ASSERT(lhs == rhs);
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assert(lhs == rhs);
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}
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////////////////////////////////////////////////////////////////////////////
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@@ -222,7 +222,7 @@ public:
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#if 0
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static accelerator_inline typename SiteCloverTriangle::vector_type triangle_elem(const SiteCloverTriangle& triangle, int block, int i, int j) {
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GRID_ASSERT(i != j);
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assert(i != j);
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if(i < j) {
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return triangle()(block)(triangle_index(i, j));
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} else { // i > j
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@@ -232,7 +232,7 @@ public:
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#else
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template<typename vobj>
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static accelerator_inline vobj triangle_elem(const iImplCloverTriangle<vobj>& triangle, int block, int i, int j) {
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GRID_ASSERT(i != j);
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assert(i != j);
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if(i < j) {
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return triangle()(block)(triangle_index(i, j));
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} else { // i > j
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@@ -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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|
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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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}
|
||||
if (t_kernel) *t_kernel += usecond();
|
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GRID_ASSERT(mat.dimension(0) == Nmom);
|
||||
GRID_ASSERT(mat.dimension(1) == Ngamma);
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GRID_ASSERT(mat.dimension(2) == Nt);
|
||||
|
||||
// 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<Nmom;m++){
|
||||
int ij_dx = m+Nmom*i + Nmom*Lblock * j + Nmom*Lblock * Rblock * lt;
|
||||
for(int mu=0;mu<Ngamma;mu++){
|
||||
// this is a bit slow
|
||||
mat(m,mu,t,i,j) = trace(lsSum[ij_dx]*Gamma(gammas[mu]))()()();
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
} else {
|
||||
const scalar_type zz(0.0);
|
||||
for(int i=0;i<Lblock;i++){
|
||||
for(int j=0;j<Rblock;j++){
|
||||
for(int mu=0;mu<Ngamma;mu++){
|
||||
for(int m=0;m<Nmom;m++){
|
||||
mat(m,mu,t,i,j) =zz;
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
});
|
||||
|
||||
////////////////////////////////////////////////////////////////////
|
||||
// This global sum is taking as much as 50% of time on 16 nodes
|
||||
// Vector size is 7 x 16 x 32 x 16 x 16 x sizeof(complex) = 2MB - 60MB depending on volume
|
||||
// Healthy size that should suffice
|
||||
////////////////////////////////////////////////////////////////////
|
||||
if (t_gsum) *t_gsum = -usecond();
|
||||
grid->GlobalSumVector(&mat(0,0,0,0,0),Nmom*Ngamma*Nt*Lblock*Rblock);
|
||||
if (t_gsum) *t_gsum += usecond();
|
||||
}
|
||||
|
||||
template <class FImpl>
|
||||
template <typename TensorType>
|
||||
void A2Autils<FImpl>::AslashField(TensorType &mat,
|
||||
const FermionField *lhs_wi,
|
||||
const FermionField *rhs_vj,
|
||||
const std::vector<ComplexField> &emB0,
|
||||
const std::vector<ComplexField> &emB1,
|
||||
int orthogdim, double *t_kernel, double *t_gsum)
|
||||
{
|
||||
typedef typename FermionField::vector_object vobj;
|
||||
typedef typename vobj::scalar_object sobj;
|
||||
typedef typename vobj::scalar_type scalar_type;
|
||||
typedef typename vobj::vector_type vector_type;
|
||||
|
||||
typedef iSpinMatrix<vector_type> SpinMatrix_v;
|
||||
typedef iSpinMatrix<scalar_type> SpinMatrix_s;
|
||||
typedef iSinglet<vector_type> Singlet_v;
|
||||
typedef iSinglet<scalar_type> Singlet_s;
|
||||
|
||||
int Lblock = mat.dimension(3);
|
||||
int Rblock = mat.dimension(4);
|
||||
|
||||
GridBase *grid = lhs_wi[0].Grid();
|
||||
|
||||
const int Nd = grid->_ndimension;
|
||||
const int Nsimd = grid->Nsimd();
|
||||
|
||||
int Nt = grid->GlobalDimensions()[orthogdim];
|
||||
int Nem = emB0.size();
|
||||
GRID_ASSERT(emB1.size() == Nem);
|
||||
|
||||
int fd=grid->_fdimensions[orthogdim];
|
||||
int ld=grid->_ldimensions[orthogdim];
|
||||
int rd=grid->_rdimensions[orthogdim];
|
||||
|
||||
// will locally sum vectors first
|
||||
// sum across these down to scalars
|
||||
// splitting the SIMD
|
||||
int MFrvol = rd*Lblock*Rblock*Nem;
|
||||
int MFlvol = ld*Lblock*Rblock*Nem;
|
||||
|
||||
std::vector<vector_type> lvSum(MFrvol);
|
||||
thread_for(r,MFrvol,
|
||||
{
|
||||
lvSum[r] = Zero();
|
||||
});
|
||||
|
||||
std::vector<scalar_type> lsSum(MFlvol);
|
||||
thread_for(r,MFlvol,
|
||||
{
|
||||
lsSum[r] = scalar_type(0.0);
|
||||
});
|
||||
|
||||
int e1= grid->_slice_nblock[orthogdim];
|
||||
int e2= grid->_slice_block [orthogdim];
|
||||
int stride=grid->_slice_stride[orthogdim];
|
||||
|
||||
// Nested parallelism would be ok
|
||||
// Wasting cores here. Test case r
|
||||
if (t_kernel) *t_kernel = -usecond();
|
||||
for(int r=0;r<rd;r++)
|
||||
{
|
||||
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++)
|
||||
{
|
||||
autoView(wi_v,lhs_wi[i],CpuRead);
|
||||
auto left = conjugate(wi_v[ss]);
|
||||
|
||||
for(int j=0;j<Rblock;j++)
|
||||
{
|
||||
SpinMatrix_v vv;
|
||||
autoView(vj_v,rhs_vj[j],CpuRead);
|
||||
auto right = vj_v[ss];
|
||||
|
||||
for(int s1=0;s1<Ns;s1++)
|
||||
for(int s2=0;s2<Ns;s2++)
|
||||
{
|
||||
vv()(s1,s2)() = left()(s2)(0) * right()(s1)(0)
|
||||
+ left()(s2)(1) * right()(s1)(1)
|
||||
+ left()(s2)(2) * right()(s1)(2);
|
||||
}
|
||||
|
||||
// After getting the sitewise product do the mom phase loop
|
||||
int base = Nem*i+Nem*Lblock*j+Nem*Lblock*Rblock*r;
|
||||
|
||||
for ( int m=0;m<Nem;m++)
|
||||
{
|
||||
autoView(emB0_v,emB0[m],CpuRead);
|
||||
autoView(emB1_v,emB1[m],CpuRead);
|
||||
int idx = m+base;
|
||||
auto b0 = emB0_v[ss];
|
||||
auto b1 = emB1_v[ss];
|
||||
auto cb0 = conjugate(b0);
|
||||
auto cb1 = conjugate(b1);
|
||||
|
||||
lvSum[idx] += - vv()(3,0)()*b0()()() - vv()(2,0)()*cb1()()()
|
||||
+ vv()(3,1)()*b1()()() - vv()(2,1)()*cb0()()()
|
||||
+ vv()(0,2)()*b1()()() + vv()(1,2)()*b0()()()
|
||||
+ vv()(0,3)()*cb0()()() - vv()(1,3)()*cb1()()();
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// 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
|
||||
//
|
||||
|
@@ -119,7 +119,7 @@ static void generatorDiagonal(int diagIndex, iGroupMatrix<cplx> &ta) {
|
||||
// Map a su2 subgroup number to the pair of rows that are non zero
|
||||
////////////////////////////////////////////////////////////////////////
|
||||
static accelerator_inline void su2SubGroupIndex(int &i1, int &i2, int su2_index, GroupName::SU) {
|
||||
GRID_ASSERT((su2_index >= 0) && (su2_index < (ncolour * (ncolour - 1)) / 2));
|
||||
assert((su2_index >= 0) && (su2_index < (ncolour * (ncolour - 1)) / 2));
|
||||
|
||||
int spare = su2_index;
|
||||
for (i1 = 0; spare >= (ncolour - 1 - i1); i1++) {
|
||||
|
@@ -31,7 +31,7 @@ namespace Grid{
|
||||
static accelerator_inline void IndexFromCoor (const coor_t& coor,int &index,const coor_t &dims){
|
||||
int64_t index64;
|
||||
IndexFromCoor(coor,index64,dims);
|
||||
GRID_ASSERT(index64<2*1024*1024*1024LL);
|
||||
assert(index64<2*1024*1024*1024LL);
|
||||
index = (int) index64;
|
||||
}
|
||||
|
||||
|
@@ -292,7 +292,7 @@ AC_ARG_ENABLE([accelerator],
|
||||
case ${ac_ACCELERATOR} in
|
||||
cuda)
|
||||
echo CUDA acceleration
|
||||
LIBS="${LIBS} -lcuda"
|
||||
LIBS="${LIBS} -lcuda -lcublas"
|
||||
AC_DEFINE([GRID_CUDA],[1],[Use CUDA offload]);;
|
||||
sycl)
|
||||
echo SYCL acceleration
|
||||
|
Reference in New Issue
Block a user