Added first performance measurements with threads per block from 1 to 32
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23
src/force.cu
23
src/force.cu
@ -128,6 +128,9 @@ double computeForce(
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fz[i] = 0.0;
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}
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const char *num_threads_env = getenv("NUM_THREADS");
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const int num_threads = atoi(num_threads_env);
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Atom c_atom;
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c_atom.Natoms = atom->Natoms;
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c_atom.Nlocal = atom->Nlocal;
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@ -135,6 +138,16 @@ double computeForce(
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c_atom.Nmax = atom->Nmax;
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c_atom.ntypes = atom->ntypes;
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/*
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int nDevices;
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cudaGetDeviceCount(&nDevices);
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for(int i = 0; i < nDevices; ++i) {
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cudaDeviceProp prop;
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cudaGetDeviceProperties(&prop, i);
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printf("DEVICE NAME: %s\r\n", prop.name);
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}
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*/
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// HINT: Run with cuda-memcheck ./MDBench-NVCC in case of error
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// HINT: Only works for data layout = AOS!!!
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@ -162,22 +175,28 @@ double computeForce(
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checkError( "c_atom.cutforcesq malloc", cudaMalloc((void**)&(c_atom.cutforcesq), sizeof(MD_FLOAT) * atom->ntypes * atom->ntypes) );
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checkError( "c_atom.cutforcesq memcpy", cudaMemcpy(c_atom.cutforcesq, atom->cutforcesq, sizeof(MD_FLOAT) * atom->ntypes * atom->ntypes, cudaMemcpyHostToDevice) );
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// double start_memory_bandwidth = getTimeStamp();
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int *c_neighs;
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double start_memory_bandwidth = getTimeStamp();
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checkError( "c_neighs malloc", cudaMalloc((void**)&c_neighs, sizeof(int) * Nlocal * neighbor->maxneighs) );
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checkError( "c_neighs memcpy", cudaMemcpy(c_neighs, neighbor->neighbors, sizeof(int) * Nlocal * neighbor->maxneighs, cudaMemcpyHostToDevice) );
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/*
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double end_memory_bandwidth = getTimeStamp();
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double memory_bandwith_time = (end_memory_bandwidth - start_memory_bandwidth);
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const unsigned long bytes = sizeof(int) * Nlocal * neighbor->maxneighs;
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const double gb_per_second = ((double)bytes / memory_bandwith_time) / 1024.0 / 1024.0 / 1024.0;
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printf("Data transfer of %lu bytes took %fs => %f GB/s\r\n", bytes, memory_bandwith_time, gb_per_second);
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*/
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int *c_neigh_numneigh;
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checkError( "c_neigh_numneigh malloc", cudaMalloc((void**)&c_neigh_numneigh, sizeof(int) * Nlocal) );
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checkError( "c_neigh_numneigh memcpy", cudaMemcpy(c_neigh_numneigh, neighbor->numneigh, sizeof(int) * Nlocal, cudaMemcpyHostToDevice) );
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const int num_threads_per_block = 32; // this should be multiple of 32 as operations are performed at the level of warps
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const int num_threads_per_block = num_threads; // this should be multiple of 32 as operations are performed at the level of warps
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const int num_blocks = ceil((float)Nlocal / (float)num_threads_per_block);
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// printf("Distribution size: %d\r\n%d Blocks with each %d threads\r\n", Nlocal, num_blocks, num_threads_per_block);
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double S = getTimeStamp();
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LIKWID_MARKER_START("force");
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