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Summit jsrun GPU mapping updates. Conffigure with --enable-jsrun
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@ -41,9 +41,6 @@ Author: Peter Boyle <paboyle@ph.ed.ac.uk>
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#include <sys/shm.h>
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#include <sys/mman.h>
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#include <zlib.h>
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#ifdef HAVE_NUMAIF_H
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#include <numaif.h>
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#endif
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NAMESPACE_BEGIN(Grid);
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@ -99,6 +96,7 @@ public:
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static void OptimalCommunicator (const Coordinate &processors,Grid_MPI_Comm & optimal_comm); // Turns MPI_COMM_WORLD into right layout for Cartesian
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static void OptimalCommunicatorHypercube (const Coordinate &processors,Grid_MPI_Comm & optimal_comm); // Turns MPI_COMM_WORLD into right layout for Cartesian
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static void OptimalCommunicatorSharedMemory(const Coordinate &processors,Grid_MPI_Comm & optimal_comm); // Turns MPI_COMM_WORLD into right layout for Cartesian
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static void GetShmDims(const Coordinate &WorldDims,Coordinate &ShmDims);
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///////////////////////////////////////////////////
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// Provide shared memory facilities off comm world
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///////////////////////////////////////////////////
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@ -155,6 +155,37 @@ void GlobalSharedMemory::OptimalCommunicator(const Coordinate &processors,Grid_M
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if(nscan==3 && HPEhypercube ) OptimalCommunicatorHypercube(processors,optimal_comm);
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else OptimalCommunicatorSharedMemory(processors,optimal_comm);
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}
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static inline int divides(int a,int b)
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{
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return ( b == ( (b/a)*a ) );
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}
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void GlobalSharedMemory::GetShmDims(const Coordinate &WorldDims,Coordinate &ShmDims)
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{
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////////////////////////////////////////////////////////////////
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// Assert power of two shm_size.
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////////////////////////////////////////////////////////////////
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int log2size = Log2Size(WorldShmSize,MAXLOG2RANKSPERNODE);
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assert(log2size != -1);
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int ndimension = WorldDims.size();
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ShmDims=Coordinate(ndimension,1);
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std::vector<int> primes({2,3,5});
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int dim = 0;
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int AutoShmSize = 1;
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while(AutoShmSize != WorldShmSize) {
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for(int p=0;p<primes.size();p++) {
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int prime=primes[p];
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if ( divides(prime,WorldDims[dim]/ShmDims[dim]) ) {
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AutoShmSize*=prime;
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ShmDims[dim]*=prime;
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break;
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}
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}
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dim=(dim+1) %ndimension;
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}
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}
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void GlobalSharedMemory::OptimalCommunicatorHypercube(const Coordinate &processors,Grid_MPI_Comm & optimal_comm)
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{
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////////////////////////////////////////////////////////////////
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@ -221,17 +252,13 @@ void GlobalSharedMemory::OptimalCommunicatorHypercube(const Coordinate &processo
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// in a maximally symmetrical way
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////////////////////////////////////////////////////////////////
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int ndimension = processors.size();
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std::vector<int> processor_coor(ndimension);
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std::vector<int> WorldDims = processors.toVector();
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std::vector<int> ShmDims (ndimension,1); std::vector<int> NodeDims (ndimension);
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std::vector<int> ShmCoor (ndimension); std::vector<int> NodeCoor (ndimension); std::vector<int> WorldCoor(ndimension);
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std::vector<int> HyperCoor(ndimension);
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int dim = 0;
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for(int l2=0;l2<log2size;l2++){
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while ( (WorldDims[dim] / ShmDims[dim]) <= 1 ) dim=(dim+1)%ndimension;
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ShmDims[dim]*=2;
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dim=(dim+1)%ndimension;
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}
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Coordinate processor_coor(ndimension);
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Coordinate WorldDims = processors;
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Coordinate ShmDims (ndimension); Coordinate NodeDims (ndimension);
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Coordinate ShmCoor (ndimension); Coordinate NodeCoor (ndimension); Coordinate WorldCoor(ndimension);
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Coordinate HyperCoor(ndimension);
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GetShmDims(WorldDims,ShmDims);
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////////////////////////////////////////////////////////////////
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// Establish torus of processes and nodes with sub-blockings
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@ -281,11 +308,6 @@ void GlobalSharedMemory::OptimalCommunicatorHypercube(const Coordinate &processo
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}
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void GlobalSharedMemory::OptimalCommunicatorSharedMemory(const Coordinate &processors,Grid_MPI_Comm & optimal_comm)
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{
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////////////////////////////////////////////////////////////////
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// Assert power of two shm_size.
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////////////////////////////////////////////////////////////////
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int log2size = Log2Size(WorldShmSize,MAXLOG2RANKSPERNODE);
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assert(log2size != -1);
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////////////////////////////////////////////////////////////////
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// Identify subblock of ranks on node spreading across dims
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@ -293,15 +315,10 @@ void GlobalSharedMemory::OptimalCommunicatorSharedMemory(const Coordinate &proce
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////////////////////////////////////////////////////////////////
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int ndimension = processors.size();
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Coordinate processor_coor(ndimension);
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Coordinate WorldDims = processors; Coordinate ShmDims(ndimension,1); Coordinate NodeDims (ndimension);
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Coordinate WorldDims = processors; Coordinate ShmDims(ndimension); Coordinate NodeDims (ndimension);
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Coordinate ShmCoor(ndimension); Coordinate NodeCoor(ndimension); Coordinate WorldCoor(ndimension);
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int dim = 0;
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for(int l2=0;l2<log2size;l2++){
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while ( (WorldDims[dim] / ShmDims[dim]) <= 1 ) dim=(dim+1)%ndimension;
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ShmDims[dim]*=2;
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dim=(dim+1)%ndimension;
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}
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GetShmDims(WorldDims,ShmDims);
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////////////////////////////////////////////////////////////////
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// Establish torus of processes and nodes with sub-blockings
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////////////////////////////////////////////////////////////////
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@ -418,7 +435,11 @@ void GlobalSharedMemory::SharedMemoryAllocate(uint64_t bytes, int flags)
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// e.g. DGX1, supermicro board,
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//////////////////////////////////////////////////////////////////////////////////////////////////////////
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// cudaDeviceGetP2PAttribute(&perfRank, cudaDevP2PAttrPerformanceRank, device1, device2);
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#ifdef GRID_IBM_SUMMIT
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std::cout << header << "flag IBM_SUMMIT disabled CUDA set device: ensure jsrun is used correctly" <<std::endl;
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#else
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cudaSetDevice(WorldShmRank);
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#endif
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///////////////////////////////////////////////////////////////////////////////////////////////////////////
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// Each MPI rank should allocate our own buffer
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///////////////////////////////////////////////////////////////////////////////////////////////////////////
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@ -292,7 +292,7 @@ void GridGpuInit(void)
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gpu_props = new cudaDeviceProp[nDevices];
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char * localRankStr = NULL;
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int rank = 0, device = 0, world_rank=0;
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int rank = 0, world_rank=0;
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#define ENV_LOCAL_RANK_OMPI "OMPI_COMM_WORLD_LOCAL_RANK"
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#define ENV_LOCAL_RANK_MVAPICH "MV2_COMM_WORLD_LOCAL_RANK"
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#define ENV_RANK_OMPI "OMPI_COMM_WORLD_RANK"
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@ -301,23 +301,16 @@ void GridGpuInit(void)
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if ((localRankStr = getenv(ENV_LOCAL_RANK_OMPI)) != NULL)
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{
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rank = atoi(localRankStr);
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device = rank %nDevices;
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}
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if ((localRankStr = getenv(ENV_LOCAL_RANK_MVAPICH)) != NULL)
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{
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rank = atoi(localRankStr);
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device = rank %nDevices;
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}
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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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cudaSetDevice(device);
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if ( world_rank == 0 ) {
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GridBanner();
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printf("GpuInit: ================================================\n");
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printf("GpuInit: Setting up Cuda Device map before first MPI call\n",nDevices);
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printf("GpuInit: ================================================\n");
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printf("GpuInit: Cuda reports %d GPUs on MPI rank 0\n",nDevices);
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}
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for (int i = 0; i < nDevices; i++) {
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@ -325,7 +318,6 @@ void GridGpuInit(void)
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#define GPU_PROP_FMT(canMapHostMemory,FMT) printf("GpuInit: " #canMapHostMemory ": " FMT" \n",prop.canMapHostMemory);
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#define GPU_PROP(canMapHostMemory) GPU_PROP_FMT(canMapHostMemory,"%d");
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// cudaGetDeviceProperties(&prop, i);
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cudaGetDeviceProperties(&gpu_props[i], i);
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if ( world_rank == 0) {
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cudaDeviceProp prop;
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@ -334,15 +326,13 @@ void GridGpuInit(void)
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printf("GpuInit: Device Number : %d\n", i);
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printf("GpuInit: ========================\n");
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printf("GpuInit: Device identifier: %s\n", prop.name);
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// printf("GpuInit: Peak Memory Bandwidth (GB/s): %f\n",(float)2.0*prop.memoryClockRate*(prop.memoryBusWidth/8)/1.0e6);
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GPU_PROP(managedMemory);
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GPU_PROP(isMultiGpuBoard);
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GPU_PROP(warpSize);
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#if 0
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GPU_PROP(unifiedAddressing);
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GPU_PROP(l2CacheSize);
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GPU_PROP(singleToDoublePrecisionPerfRatio);
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#endif
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// GPU_PROP(unifiedAddressing);
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// GPU_PROP(l2CacheSize);
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// GPU_PROP(singleToDoublePrecisionPerfRatio);
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}
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}
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if ( world_rank == 0 ) {
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32
configure.ac
32
configure.ac
@ -67,7 +67,6 @@ AC_CHECK_HEADERS(malloc/malloc.h)
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AC_CHECK_HEADERS(malloc.h)
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AC_CHECK_HEADERS(endian.h)
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AC_CHECK_HEADERS(execinfo.h)
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AC_CHECK_HEADERS(numaif.h)
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AC_CHECK_DECLS([ntohll],[], [], [[#include <arpa/inet.h>]])
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AC_CHECK_DECLS([be64toh],[], [], [[#include <arpa/inet.h>]])
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@ -136,6 +135,18 @@ case ${ac_SFW_FP16} in
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AC_MSG_ERROR(["SFW FP16 option not supported ${ac_SFW_FP16}"]);;
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esac
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############### SUMMIT JSRUN
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AC_ARG_ENABLE([jsrun],
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[AC_HELP_STRING([--enable-jsrun=yes|no], [enable IBMs jsrun resource manager for SUMMIT])],
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[ac_JSRUN=${enable_jsrun}], [ac_JSRUN=no])
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case ${ac_JSRUN} in
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yes)
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AC_DEFINE([GRID_IBM_SUMMIT],[1],[Let JSRUN manage the GPU device allocation]);;
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no);;
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*)
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AC_MSG_ERROR(["JSRUN option not supported ${ac_JSRUN}"]);;
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esac
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############### Intel libraries
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AC_ARG_ENABLE([mkl],
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[AC_HELP_STRING([--enable-mkl=yes|no|prefix], [enable Intel MKL for LAPACK & FFTW])],
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@ -173,19 +184,6 @@ AC_ARG_WITH([hdf5],
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[AM_CXXFLAGS="-I$with_hdf5/include $AM_CXXFLAGS"]
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[AM_LDFLAGS="-L$with_hdf5/lib $AM_LDFLAGS"])
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############### first-touch
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AC_ARG_ENABLE([numa],
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[AC_HELP_STRING([--enable-numa=yes|no|prefix], [enable first touch numa opt])],
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[ac_NUMA=${enable_NUMA}],[ac_NUMA=no])
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case ${ac_NUMA} in
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no)
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;;
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yes)
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AC_DEFINE([GRID_NUMA],[1],[First touch numa locality]);;
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*)
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AC_DEFINE([GRID_NUMA],[1],[First touch numa locality]);;
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esac
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############### Checks for library functions
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CXXFLAGS_CPY=$CXXFLAGS
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@ -241,10 +239,6 @@ AC_SEARCH_LIBS([crc32], [z],
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[have_zlib=true] [LIBS="${LIBS} -lz"],
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[AC_MSG_ERROR(zlib library was not found in your system.)])
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AC_SEARCH_LIBS([move_pages], [numa],
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[AC_DEFINE([HAVE_LIBNUMA], [1], [Define to 1 if you have the `LIBNUMA' library])]
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[have_libnuma=true] [LIBS="${LIBS} -lnuma"],
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[AC_MSG_WARN(libnuma library was not found in your system. Some optimisations will not apply)])
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AC_SEARCH_LIBS([H5Fopen], [hdf5_cpp],
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[AC_DEFINE([HAVE_HDF5], [1], [Define to 1 if you have the `HDF5' library])]
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@ -263,7 +257,7 @@ AC_ARG_ENABLE([gen-simd-width],
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[AS_HELP_STRING([--enable-gen-simd-width=size],
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[size (in bytes) of the generic SIMD vectors (default: 32)])],
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[ac_gen_simd_width=$enable_gen_simd_width],
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[ac_gen_simd_width=32])
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[ac_gen_simd_width=64])
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AC_ARG_ENABLE([gen-scalar],
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[AS_HELP_STRING([--enable-gen-scalar=yes|no],
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