forked from lijiext/lammps
git-svn-id: svn://svn.icms.temple.edu/lammps-ro/trunk@12132 f3b2605a-c512-4ea7-a41b-209d697bcdaa
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7b5846a386
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@ -1,6 +1,6 @@
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#precision setting: 1 single, 2 double, 4 mixed
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precision ?= 2
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precision ?= 4
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#verbose setting: 0 no, 1 yes
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verbose ?= 1
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@ -1,5 +1,5 @@
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# Settings that the LAMMPS build will import when this package library is used
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CUDA_FLAGS := -I/usr/local/cuda/include -DUNIX -DFFT_CUFFT -DCUDA_PRECISION=2 -DCUDA_ARCH=20
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CUDA_FLAGS := -I/usr/local/cuda/include -DUNIX -DFFT_CUFFT -DCUDA_PRECISION=1 -DX_PRECISION=2 -DV_PRECISION=2 -DCUDA_ARCH=20
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CUDA_USRLIB_CONDITIONAL := -L/usr/local/cuda/lib -L/usr/local/cuda/lib64 -lcufft
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user-cuda_SYSINC = ${CUDA_FLAGS}
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@ -254,7 +254,7 @@ void cuda_check_error(char* comment)
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printf("ERROR-CUDA %s %s\n", comment, cudaGetErrorString(cudaGetLastError()));
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}
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int CudaWrapper_CheckMemUseage()
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int CudaWrapper_CheckMemUsage()
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{
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size_t free, total;
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cudaMemGetInfo(&free, &total);
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@ -36,7 +36,7 @@ extern "C" void CudaWrapper_CopyData(void* dev_dest, void* dev_source, unsigned
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extern "C" void* CudaWrapper_AllocPinnedHostData(unsigned nbytes, bool mapped = false, bool writeCombind = false);
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extern "C" void CudaWrapper_FreePinnedHostData(void* dev_data);
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extern "C" void cuda_check_error(char* comment);
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extern "C" int CudaWrapper_CheckMemUseage();
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extern "C" int CudaWrapper_CheckMemUsage();
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extern "C" double CudaWrapper_CheckUploadTime(bool reset = false);
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extern "C" double CudaWrapper_CheckDownloadTime(bool reset = false);
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extern "C" double CudaWrapper_CheckCPUBufUploadTime(bool reset = false);
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@ -492,6 +492,7 @@ void DeviceT::output_times(UCL_Timer &time_pair, Answer<numtyp,acctyp> &ans,
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const double driver_overhead,
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const int threads_per_atom, FILE *screen) {
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double single[9], times[9];
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int post_final=0;
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single[0]=atom.transfer_time()+ans.transfer_time();
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single[1]=nbor.time_nbor.total_seconds()+nbor.time_hybrid1.total_seconds()+
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@ -504,6 +505,9 @@ void DeviceT::output_times(UCL_Timer &time_pair, Answer<numtyp,acctyp> &ans,
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single[7]=ans.cpu_idle_time();
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single[8]=nbor.bin_time();
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MPI_Finalized(&post_final);
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if (post_final) return;
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MPI_Reduce(single,times,9,MPI_DOUBLE,MPI_SUM,0,_comm_replica);
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double my_max_bytes=max_bytes+atom.max_gpu_bytes();
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