152 lines
3.1 KiB
Plaintext
152 lines
3.1 KiB
Plaintext
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dnl Create some tests for the compilers to work with CUDA
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AC_DEFUN([ATRIP_CUBLAS],
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[
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AC_LANG_PUSH([C++])dnl
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atrip_success=no
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ac_save_CXX="$CXX"
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ac_save_CXXFLAGS="$CXXFLAGS"
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ac_save_LDFLAGS="$LDFLAGS"
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CXXFLAGS="${CXXFLAGS} $CUDA_CXXFLAGS"
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LDFLAGS="${LDFLAGS} $CUDA_LDFLAGS"
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AC_MSG_CHECKING([that cublas works with the CXX compiler])
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AC_COMPILE_IFELSE([AC_LANG_SOURCE([_ATRIP_CUBLAS_SOURCE])],
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[
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atrip_success=yes
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AC_MSG_RESULT([yes])
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],
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[
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atrip_success=no
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AC_MSG_ERROR([Does not work!])
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])
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AC_MSG_CHECKING([that the detected graphic cards have memory available])
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AC_RUN_IFELSE([AC_LANG_SOURCE([_ATRIP_CUDA_MEMORY_OF_DEVICES])],
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[
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atrip_success=yes
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],
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[
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atrip_success=no
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AC_MSG_WARN([An available device reports zero memory available!])
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])
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CXX="$ac_save_CXX"
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CXXFLAGS="$ac_save_CXXFLAGS"
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LDFLAGS="$ac_save_LDFLAGS"
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AC_LANG_POP([C++])dnl
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])dnl DEFUN
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m4_define([_ATRIP_CUBLAS_SOURCE], [[
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#include <mpi.h>
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#include <mpi.h>
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#include <iostream>
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#include <string.h>
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#include <cublas_v2.h>
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#include <cuda.h>
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int main() {
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MPI_Init(NULL, NULL);
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int rank, np;
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MPI_Comm_rank(MPI_COMM_WORLD, &rank);
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MPI_Comm_size(MPI_COMM_WORLD, &np);
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cublasStatus_t stat;
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cublasHandle_t handle;
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stat = cublasCreate(&handle);
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cudaError_t error;
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int64_t els = 100, oo, No, Nv;
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double *PH_d, *HHP_d, *HHH_d, *F_d;
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double one(1.0);
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cuMemAlloc((CUdeviceptr*)&PH_d, els*sizeof(double));
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cuMemAlloc((CUdeviceptr*)&HHP_d, els*sizeof(double));
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cuMemAlloc((CUdeviceptr*)&HHH_d, els*sizeof(double));
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cuMemAlloc((CUdeviceptr*)&F_d, els*sizeof(double));
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stat = cublasDgemm(handle,
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CUBLAS_OP_N,
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CUBLAS_OP_N,
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oo, No, Nv,
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&one,
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HHP_d, oo, PH_d, Nv, &one, F_d, oo);
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//cudaSetDevice(rank);
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return 0;
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}
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]])
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m4_define([_ATRIP_CUDA_MEMORY_OF_DEVICES], [[
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#include <mpi.h>
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#include <iostream>
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#include <cassert>
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#include <string.h>
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#include <cuda.h>
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int main() {
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MPI_Init(NULL, NULL);
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int rank, np;
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MPI_Comm_rank(MPI_COMM_WORLD, &rank);
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MPI_Comm_size(MPI_COMM_WORLD, &np);
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int ngcards;
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cuDeviceGetCount(&ngcards);
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for (size_t rank = 0; rank < ngcards; rank++) {
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CUcontext ctx;
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CUdevice dev;
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CUdevprop_st prop;
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size_t _free, total, total2;
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char *name = (char*)malloc(256);
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cuDeviceGet(&dev, rank);
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cuCtxCreate(&ctx, 0, dev);
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cuCtxSetCurrent(ctx);
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cuDeviceGetProperties(&prop, dev);
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cuMemGetInfo(&_free, &total);
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cuDeviceGetName(name, 256, dev);
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cuDeviceTotalMem(&total2, dev);
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printf("\n"
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"CUDA CARD RANK %d\n"
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"=================\n"
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"\tname: %s\n"
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"\tShared Mem Per Block (KB): %f\n"
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"\tFree/Total mem (GB): %f/%f\n"
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"\ttotal2 mem (GB): %f\n"
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"\n",
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dev,
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name,
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prop.sharedMemPerBlock / 1024.0,
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_free / 1024.0 / 1024.0 / 1024.0 ,
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total / 1024.0 / 1024.0 / 1024.0 ,
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total2 / 1024.0 / 1024.0 / 1024.0
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);
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if (_free == 0 || total == 0 || total2 == 0)
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return 1;
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}
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return 0;
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}
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]])
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