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95b640cb6b
Author | SHA1 | Date | |
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95b640cb6b | |||
2cb5bedc15 | |||
806b02bddf | |||
de40395773 | |||
7ba4788715 | |||
06d9ce1a02 | |||
75bb6b2b40 | |||
74f10c2dc0 |
@ -406,6 +406,7 @@ double CartesianCommunicator::StencilSendToRecvFromBegin(std::vector<CommsReques
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void CartesianCommunicator::StencilSendToRecvFromComplete(std::vector<CommsRequest_t> &list,int dir)
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{
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acceleratorCopySynchronise();
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StencilBarrier();// Synch shared memory on a single nodes
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int nreq=list.size();
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@ -400,7 +400,6 @@ public:
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}
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this->face_table_computed=1;
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assert(this->u_comm_offset==this->_unified_buffer_size);
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accelerator_barrier();
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}
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};
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@ -233,10 +233,10 @@ void WilsonFermion5D<Impl>::ImportGauge(const GaugeField &_Umu)
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GaugeField HUmu(_Umu.Grid());
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HUmu = _Umu*(-0.5);
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if ( Dirichlet ) {
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std::cout << GridLogMessage << " Dirichlet BCs 5d " <<Block<<std::endl;
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std::cout << GridLogDslash << " Dirichlet BCs 5d " <<Block<<std::endl;
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Coordinate GaugeBlock(Nd);
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for(int d=0;d<Nd;d++) GaugeBlock[d] = Block[d+1];
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std::cout << GridLogMessage << " Dirichlet BCs 4d " <<GaugeBlock<<std::endl;
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std::cout << GridLogDslash << " Dirichlet BCs 4d " <<GaugeBlock<<std::endl;
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DirichletFilter<GaugeField> Filter(GaugeBlock);
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Filter.applyFilter(HUmu);
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}
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@ -382,12 +382,14 @@ void WilsonFermion5D<Impl>::DhopInternal(StencilImpl & st, LebesgueOrder &lo,
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DoubledGaugeField & U,
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const FermionField &in, FermionField &out,int dag)
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{
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DhopTotalTime-=usecond();
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// std::cout << GridLogDslash<<"Dhop internal"<<std::endl;
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DhopTotalTime=-usecond();
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if ( WilsonKernelsStatic::Comms == WilsonKernelsStatic::CommsAndCompute )
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DhopInternalOverlappedComms(st,lo,U,in,out,dag);
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else
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DhopInternalSerialComms(st,lo,U,in,out,dag);
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DhopTotalTime+=usecond();
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// std::cout << GridLogDslash<<"Dhop took"<<DhopTotalTime<<std::endl;
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}
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@ -404,53 +406,59 @@ void WilsonFermion5D<Impl>::DhopInternalOverlappedComms(StencilImpl & st, Lebesg
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/////////////////////////////
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// Start comms // Gather intranode and extra node differentiated??
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/////////////////////////////
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DhopFaceTime-=usecond();
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DhopFaceTime=-usecond();
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st.HaloExchangeOptGather(in,compressor);
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DhopFaceTime+=usecond();
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// std::cout << GridLogDslash<< " Dhop Gather end "<< DhopFaceTime<<" us " <<std::endl;
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DhopCommTime -=usecond();
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DhopCommTime =-usecond();
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std::vector<std::vector<CommsRequest_t> > requests;
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st.CommunicateBegin(requests);
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/////////////////////////////
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// Overlap with comms
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/////////////////////////////
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DhopFaceTime-=usecond();
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DhopFaceTime=-usecond();
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st.CommsMergeSHM(compressor);// Could do this inside parallel region overlapped with comms
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DhopFaceTime+=usecond();
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// std::cout << GridLogDslash<< " Dhop Commsmerge end "<<DhopFaceTime<< " us "<<std::endl;
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/////////////////////////////
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// do the compute interior
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/////////////////////////////
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int Opt = WilsonKernelsStatic::Opt; // Why pass this. Kernels should know
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DhopComputeTime-=usecond();
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DhopComputeTime=-usecond();
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if (dag == DaggerYes) {
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Kernels::DhopDagKernel(Opt,st,U,st.CommBuf(),LLs,U.oSites(),in,out,1,0);
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} else {
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Kernels::DhopKernel (Opt,st,U,st.CommBuf(),LLs,U.oSites(),in,out,1,0);
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}
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DhopComputeTime+=usecond();
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// std::cout << GridLogDslash<< " Dhop Compute 1 end "<< DhopComputeTime<<" us" <<std::endl;
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/////////////////////////////
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// Complete comms
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/////////////////////////////
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st.CommunicateComplete(requests);
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DhopCommTime +=usecond();
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// std::cout << GridLogDslash<< " Dhop Comunicate end "<< DhopCommTime << " us" <<std::endl;
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/////////////////////////////
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// do the compute exterior
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/////////////////////////////
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DhopFaceTime-=usecond();
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DhopFaceTime=-usecond();
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st.CommsMerge(compressor);
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DhopFaceTime+=usecond();
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// std::cout << GridLogDslash<< " Dhop CommsMerge2 end "<<DhopFaceTime << " us "<<std::endl;
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DhopComputeTime2-=usecond();
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DhopComputeTime2=-usecond();
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if (dag == DaggerYes) {
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Kernels::DhopDagKernel(Opt,st,U,st.CommBuf(),LLs,U.oSites(),in,out,0,1);
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} else {
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Kernels::DhopKernel (Opt,st,U,st.CommBuf(),LLs,U.oSites(),in,out,0,1);
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}
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DhopComputeTime2+=usecond();
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// std::cout << GridLogDslash<< " Dhop Ext end "<<DhopComputeTime2 <<"us "<<std::endl;
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}
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@ -463,12 +471,14 @@ void WilsonFermion5D<Impl>::DhopInternalSerialComms(StencilImpl & st, LebesgueOr
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Compressor compressor(dag);
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int LLs = in.Grid()->_rdimensions[0];
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DhopCommTime-=usecond();
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// std::cout << GridLogDslash<< " Dhop Halo exchange begine " <<std::endl;
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DhopCommTime=-usecond();
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st.HaloExchangeOpt(in,compressor);
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DhopCommTime+=usecond();
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// std::cout << GridLogDslash<< " Dhop Comms end "<<DhopCommTime<<" us"<<std::endl;
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DhopComputeTime-=usecond();
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DhopComputeTime=-usecond();
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int Opt = WilsonKernelsStatic::Opt;
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if (dag == DaggerYes) {
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Kernels::DhopDagKernel(Opt,st,U,st.CommBuf(),LLs,U.oSites(),in,out);
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@ -476,6 +486,7 @@ void WilsonFermion5D<Impl>::DhopInternalSerialComms(StencilImpl & st, LebesgueOr
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Kernels::DhopKernel(Opt,st,U,st.CommBuf(),LLs,U.oSites(),in,out);
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}
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DhopComputeTime+=usecond();
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// std::cout << GridLogDslash<< " Dhop Compute end "<<DhopComputeTime<<" us" <<std::endl;
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}
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@ -416,19 +416,6 @@ void WilsonKernels<Impl>::DhopDirKernel( StencilImpl &st, DoubledGaugeField &U,S
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#undef LoopBody
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}
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#define KERNEL_CALL_TMP(A) \
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const uint64_t NN = Nsite*Ls; \
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auto U_p = & U_v[0]; \
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auto in_p = & in_v[0]; \
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auto out_p = & out_v[0]; \
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auto st_p = st_v._entries_p; \
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auto st_perm = st_v._permute_type; \
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accelerator_forNB( ss, NN, Simd::Nsimd(), { \
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int sF = ss; \
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int sU = ss/Ls; \
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WilsonKernels<Impl>::A(st_perm,st_p,U_p,buf,sF,sU,in_p,out_p); \
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}); \
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accelerator_barrier();
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#define KERNEL_CALLNB(A) \
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const uint64_t NN = Nsite*Ls; \
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@ -448,8 +435,7 @@ void WilsonKernels<Impl>::DhopDirKernel( StencilImpl &st, DoubledGaugeField &U,S
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int sF = ptr[ss]; \
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int sU = ss/Ls; \
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WilsonKernels<Impl>::A(st_v,U_v,buf,sF,sU,in_v,out_v); \
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}); \
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accelerator_barrier();
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});
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#define ASM_CALL(A) \
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thread_for( ss, Nsite, { \
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@ -471,7 +457,7 @@ void WilsonKernels<Impl>::DhopKernel(int Opt,StencilImpl &st, DoubledGaugeField
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if( interior && exterior ) {
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if (Opt == WilsonKernelsStatic::OptGeneric ) { KERNEL_CALL(GenericDhopSite); return;}
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#ifdef SYCL_HACK
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if (Opt == WilsonKernelsStatic::OptHandUnroll ) { KERNEL_CALL_TMP(HandDhopSiteSycl); return; }
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if (Opt == WilsonKernelsStatic::OptHandUnroll ) { KERNEL_CALL(HandDhopSiteSycl); return; }
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#else
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if (Opt == WilsonKernelsStatic::OptHandUnroll ) { KERNEL_CALL(HandDhopSite); return;}
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#endif
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@ -359,6 +359,7 @@ public:
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////////////////////////////////////////////////////////////////////////
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void CommunicateBegin(std::vector<std::vector<CommsRequest_t> > &reqs)
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{
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accelerator_barrier();
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for(int i=0;i<Packets.size();i++){
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_grid->StencilSendToRecvFromBegin(MpiReqs,
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Packets[i].send_buf,
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@ -371,39 +372,19 @@ public:
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void CommunicateComplete(std::vector<std::vector<CommsRequest_t> > &reqs)
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{
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_grid->StencilSendToRecvFromComplete(MpiReqs,i);
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_grid->StencilSendToRecvFromComplete(MpiReqs,0);
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}
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////////////////////////////////////////////////////////////////////////
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// Blocking send and receive. Either sequential or parallel.
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////////////////////////////////////////////////////////////////////////
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void Communicate(void)
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{
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if ( CartesianCommunicator::CommunicatorPolicy == CartesianCommunicator::CommunicatorPolicySequential ){
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/////////////////////////////////////////////////////////
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// several way threaded on different communicators.
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// Cannot combine with Dirichlet operators
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// This scheme is needed on Intel Omnipath for best performance
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// Deprecate once there are very few omnipath clusters
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/////////////////////////////////////////////////////////
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int nthreads = CartesianCommunicator::nCommThreads;
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int old = GridThread::GetThreads();
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GridThread::SetThreads(nthreads);
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thread_for(i,Packets.size(),{
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_grid->StencilSendToRecvFrom(Packets[i].send_buf,
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Packets[i].to_rank,Packets[i].do_send,
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Packets[i].recv_buf,
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Packets[i].from_rank,Packets[i].do_recv,
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Packets[i].bytes,i);
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});
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GridThread::SetThreads(old);
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} else {
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/////////////////////////////////////////////////////////
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// Concurrent and non-threaded asynch calls to MPI
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/////////////////////////////////////////////////////////
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std::vector<std::vector<CommsRequest_t> > reqs;
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this->CommunicateBegin(reqs);
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this->CommunicateComplete(reqs);
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}
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/////////////////////////////////////////////////////////
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// Concurrent and non-threaded asynch calls to MPI
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/////////////////////////////////////////////////////////
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std::vector<std::vector<CommsRequest_t> > reqs;
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this->CommunicateBegin(reqs);
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this->CommunicateComplete(reqs);
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}
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template<class compressor> void HaloExchange(const Lattice<vobj> &source,compressor &compress)
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@ -483,7 +464,6 @@ public:
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face_table_computed=1;
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assert(u_comm_offset==_unified_buffer_size);
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accelerator_barrier();
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}
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/////////////////////////
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@ -1,6 +1,7 @@
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#include <Grid/GridCore.h>
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NAMESPACE_BEGIN(Grid);
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int world_rank; // Use to control world rank for print guarding
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int acceleratorAbortOnGpuError=1;
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uint32_t accelerator_threads=2;
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uint32_t acceleratorThreads(void) {return accelerator_threads;};
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@ -16,7 +17,7 @@ void acceleratorThreads(uint32_t t) {accelerator_threads = t;};
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#ifdef GRID_CUDA
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cudaDeviceProp *gpu_props;
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cudaStream_t copyStream;
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cudaStream_t cpuStream;
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cudaStream_t computeStream;
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void acceleratorInit(void)
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{
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int nDevices = 1;
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@ -24,7 +25,8 @@ void acceleratorInit(void)
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gpu_props = new cudaDeviceProp[nDevices];
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char * localRankStr = NULL;
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int rank = 0, world_rank=0;
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int rank = 0;
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world_rank=0;
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if ((localRankStr = getenv(ENV_RANK_OMPI )) != NULL) { world_rank = atoi(localRankStr);}
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if ((localRankStr = getenv(ENV_RANK_MVAPICH)) != NULL) { world_rank = atoi(localRankStr);}
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if ((localRankStr = getenv(ENV_RANK_SLURM )) != NULL) { world_rank = atoi(localRankStr);}
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@ -99,7 +101,7 @@ void acceleratorInit(void)
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cudaSetDevice(device);
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cudaStreamCreate(©Stream);
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cudaStreamCreate(&cpuStream);
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cudaStreamCreate(&computeStream);
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const int len=64;
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char busid[len];
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if( rank == world_rank ) {
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@ -114,7 +116,7 @@ void acceleratorInit(void)
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#ifdef GRID_HIP
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hipDeviceProp_t *gpu_props;
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hipStream_t copyStream;
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hipStream_t cpuStream;
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hipStream_t computeStream;
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void acceleratorInit(void)
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{
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int nDevices = 1;
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@ -122,7 +124,8 @@ void acceleratorInit(void)
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gpu_props = new hipDeviceProp_t[nDevices];
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char * localRankStr = NULL;
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int rank = 0, world_rank=0;
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int rank = 0;
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world_rank=0;
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// We extract the local rank initialization using an environment variable
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if ((localRankStr = getenv(ENV_LOCAL_RANK_OMPI)) != NULL)
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{
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@ -183,7 +186,7 @@ void acceleratorInit(void)
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#endif
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hipSetDevice(device);
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hipStreamCreate(©Stream);
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hipStreamCreate(&cpuStream);
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hipStreamCreate(&computeStream);
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const int len=64;
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char busid[len];
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if( rank == world_rank ) {
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@ -210,7 +213,8 @@ void acceleratorInit(void)
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#endif
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char * localRankStr = NULL;
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int rank = 0, world_rank=0;
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int rank = 0;
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world_rank=0;
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// We extract the local rank initialization using an environment variable
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if ((localRankStr = getenv(ENV_LOCAL_RANK_OMPI)) != NULL)
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|
@ -107,7 +107,7 @@ void acceleratorInit(void);
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extern int acceleratorAbortOnGpuError;
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extern cudaStream_t copyStream;
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extern cudaStream_t cpuStream;
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extern cudaStream_t computeStream;
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accelerator_inline int acceleratorSIMTlane(int Nsimd) {
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#ifdef GRID_SIMT
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@ -135,7 +135,7 @@ inline void cuda_mem(void)
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}; \
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dim3 cu_threads(nsimd,acceleratorThreads(),1); \
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dim3 cu_blocks ((num1+nt-1)/nt,num2,1); \
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LambdaApply<<<cu_blocks,cu_threads,0,cpuStream>>>(num1,num2,nsimd,lambda); \
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LambdaApply<<<cu_blocks,cu_threads,0,computeStream>>>(num1,num2,nsimd,lambda); \
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}
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#define accelerator_for6dNB(iter1, num1, \
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@ -154,7 +154,7 @@ inline void cuda_mem(void)
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}; \
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dim3 cu_blocks (num1,num2,num3); \
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dim3 cu_threads(num4,num5,num6); \
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Lambda6Apply<<<cu_blocks,cu_threads,0,cpuStream>>>(num1,num2,num3,num4,num5,num6,lambda); \
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Lambda6Apply<<<cu_blocks,cu_threads,0,computeStream>>>(num1,num2,num3,num4,num5,num6,lambda); \
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}
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|
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template<typename lambda> __global__
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@ -190,7 +190,7 @@ void Lambda6Apply(uint64_t num1, uint64_t num2, uint64_t num3,
|
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|
||||
#define accelerator_barrier(dummy) \
|
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{ \
|
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cudaDeviceSynchronize(); \
|
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cudaStreamSynchronize(computeStream); \
|
||||
cudaError err = cudaGetLastError(); \
|
||||
if ( cudaSuccess != err ) { \
|
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printf("accelerator_barrier(): Cuda error %s \n", \
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@ -340,7 +340,7 @@ NAMESPACE_BEGIN(Grid);
|
||||
#define accelerator_inline __host__ __device__ inline
|
||||
|
||||
extern hipStream_t copyStream;
|
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extern hipStream_t cpuStream;
|
||||
extern hipStream_t computeStream;
|
||||
/*These routines define mapping from thread grid to loop & vector lane indexing */
|
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accelerator_inline int acceleratorSIMTlane(int Nsimd) {
|
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#ifdef GRID_SIMT
|
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@ -362,16 +362,15 @@ accelerator_inline int acceleratorSIMTlane(int Nsimd) {
|
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dim3 hip_blocks ((num1+nt-1)/nt,num2,1); \
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if(hip_threads.x * hip_threads.y * hip_threads.z <= 64){ \
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hipLaunchKernelGGL(LambdaApply64,hip_blocks,hip_threads, \
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||||
0,0/*cpuStream*/, \
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0,computeStream, \
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num1,num2,nsimd, lambda); \
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} else { \
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hipLaunchKernelGGL(LambdaApply,hip_blocks,hip_threads, \
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0,0/*cpuStream*/, \
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||||
0,computeStream, \
|
||||
num1,num2,nsimd, lambda); \
|
||||
} \
|
||||
}
|
||||
|
||||
|
||||
template<typename lambda> __global__
|
||||
__launch_bounds__(64,1)
|
||||
void LambdaApply64(uint64_t numx, uint64_t numy, uint64_t numz, lambda Lambda)
|
||||
@ -400,7 +399,7 @@ void LambdaApply(uint64_t numx, uint64_t numy, uint64_t numz, lambda Lambda)
|
||||
|
||||
#define accelerator_barrier(dummy) \
|
||||
{ \
|
||||
hipStreamSynchronize(cpuStream); \
|
||||
hipStreamSynchronize(computeStream); \
|
||||
auto err = hipGetLastError(); \
|
||||
if ( err != hipSuccess ) { \
|
||||
printf("After hipDeviceSynchronize() : HIP error %s \n", hipGetErrorString( err )); \
|
||||
@ -443,7 +442,7 @@ inline void acceleratorMemSet(void *base,int value,size_t bytes) { hipMemset(bas
|
||||
|
||||
inline void acceleratorCopyDeviceToDeviceAsynch(void *from,void *to,size_t bytes) // Asynch
|
||||
{
|
||||
hipMemcpy(to,from,bytes, hipMemcpyDeviceToDevice);
|
||||
hipMemcpyDtoDAsync(to,from,bytes, copyStream);
|
||||
}
|
||||
inline void acceleratorCopySynchronise(void) { hipStreamSynchronize(copyStream); };
|
||||
|
||||
|
@ -332,9 +332,9 @@ int main(int argc, char **argv) {
|
||||
OneFlavourEvenOddRatioRationalPseudoFermionAction<FermionImplPolicy> StrangePseudoFermionBdy(StrangeOpDir,StrangeOp,SFRp);
|
||||
OneFlavourEvenOddRatioRationalPseudoFermionAction<FermionImplPolicy> StrangePseudoFermionLocal(StrangePauliVillarsOpDir,StrangeOpDir,SFRp);
|
||||
OneFlavourEvenOddRatioRationalPseudoFermionAction<FermionImplPolicy> StrangePseudoFermionPVBdy(StrangePauliVillarsOp,StrangePauliVillarsOpDir,SFRp);
|
||||
Level1.push_back(&StrangePseudoFermionBdy);
|
||||
Level1.push_back(&StrangePseudoFermionBdy); // ok
|
||||
Level2.push_back(&StrangePseudoFermionLocal);
|
||||
Level1.push_back(&StrangePseudoFermionPVBdy);
|
||||
Level1.push_back(&StrangePseudoFermionPVBdy); //ok
|
||||
|
||||
////////////////////////////////////
|
||||
// up down action
|
||||
@ -436,6 +436,10 @@ int main(int argc, char **argv) {
|
||||
*Numerators[h],*Denominators[h],
|
||||
*NumeratorsF[h],*DenominatorsF[h],
|
||||
OFRp, 500) );
|
||||
Bdys.push_back( new OneFlavourEvenOddRatioRationalMixedPrecPseudoFermionAction<FermionImplPolicy,FermionImplPolicyF>(
|
||||
*Numerators[h],*Denominators[h],
|
||||
*NumeratorsF[h],*DenominatorsF[h],
|
||||
OFRp, 500) );
|
||||
#else
|
||||
Bdys.push_back( new OneFlavourEvenOddRatioRationalPseudoFermionAction<FermionImplPolicy>(*Numerators[h],*Denominators[h],OFRp));
|
||||
Bdys.push_back( new OneFlavourEvenOddRatioRationalPseudoFermionAction<FermionImplPolicy>(*Numerators[h],*Denominators[h],OFRp));
|
||||
|
Reference in New Issue
Block a user