Bryce Allen
5 years ago
parent
df9a3a79a8
commit
4d504dd5b1
@ -1,2 +1,5 @@
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daxpy
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mpi_daxpy
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daxpy_nvtx
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mpi_daxpy_nvtx
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mpienv
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@ -0,0 +1,108 @@
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/*
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* =====================================================================================
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*
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* Filename: daxpy_nvtx.c
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*
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* Description: Test cublas DAXPY, specifically to verify usage on
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* summit with GPUMPS and all 6 GPUs shared over 42 procs.
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*
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* Version: 1.0
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* Created: 05/20/2019 10:33:30 AM
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* Revision: none
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* Compiler: gcc
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*
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* Author: YOUR NAME (),
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* Organization:
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*
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* =====================================================================================
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*/
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#include <stdio.h>
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#include <stdlib.h>
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#include "cublas_v2.h"
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#include "cuda_runtime_api.h"
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#include "nvToolsExt.h"
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#include "cuda_profiler_api.h"
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#define GPU_CHECK_CALLS
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#include "cuda_error.h"
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// column major
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#define IDX2C(i,j,ld) (((j)*(ld))+(i))
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static cublasHandle_t handle;
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int main(int argc, char **argv) {
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int n = 1024;
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double a = 2.0;
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double sum = 0.0;
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double *x, *y, *d_x, *d_y;
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x = (double *)malloc(n*sizeof(*x));
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if (x == NULL) {
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printf("host malloc(x) failed\n");
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return EXIT_FAILURE;
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}
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y = (double *)malloc(n*sizeof(*y));
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if (x == NULL) {
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printf("host malloc(y) failed\n");
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return EXIT_FAILURE;
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}
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for (int i=0; i<n; i++) {
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x[i] = i+1;
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y[i] = -i-1;
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}
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//CHECK("setDevice", cudaSetDevice(0));
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cudaProfilerStart();
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CHECK( "cublas", cublasCreate(&handle) );
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CHECK( "d_x", cudaMalloc((void**)&d_x, n*sizeof(*d_x)) );
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CHECK( "d_y", cudaMalloc((void**)&d_y, n*sizeof(*d_y)) );
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nvtxRangePushA("copyInput");
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CHECK("d_x = x",
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cudaMemcpy(d_x, x, n*sizeof(*x), cudaMemcpyHostToDevice) );
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CHECK("d_y = y",
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cudaMemcpy(d_y, y, n*sizeof(*y), cudaMemcpyHostToDevice) );
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nvtxRangePop();
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nvtxRangePushA("cublasDaxpy");
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CHECK("daxpy",
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cublasDaxpy(handle, n, &a, d_x, 1, d_y, 1) );
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CHECK("daxpy sync", cudaDeviceSynchronize());
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nvtxRangePop();
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nvtxRangePushA("copyOutput");
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CHECK("y = d_y",
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cudaMemcpy(y, d_y, n*sizeof(*y), cudaMemcpyDeviceToHost) );
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CHECK("y = d_y sync", cudaDeviceSynchronize() );
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nvtxRangePop();
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sum = 0.0;
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for (int i=0; i<n; i++) {
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printf("%f\n", y[i]);
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sum += y[i];
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}
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printf("SUM = %f\n", sum);
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// cleanup
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cudaFree(d_x);
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cudaFree(d_y);
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cublasDestroy(handle);
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cudaProfilerStop();
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return EXIT_SUCCESS;
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}
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@ -0,0 +1,217 @@
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/*
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* =====================================================================================
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*
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* Filename: mpi_daxpy.c
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*
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* Description: Adds MPI to cublas test, to debug issue on Summit
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*
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* Version: 1.0
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* Created: 05/20/2019 10:33:30 AM
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* Revision: none
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* Compiler: gcc
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*
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* Author: YOUR NAME (),
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* Organization:
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*
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* =====================================================================================
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*/
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#include <mpi.h>
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#include <stdio.h>
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#include <stdlib.h>
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#include "cublas_v2.h"
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#include "cuda_runtime_api.h"
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#include "nvToolsExt.h"
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#include "cuda_profiler_api.h"
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#define GPU_CHECK_CALLS
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#include "cuda_error.h"
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// column major
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#define IDX2C(i,j,ld) (((j)*(ld))+(i))
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static cublasHandle_t handle;
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void set_rank_device(int n_ranks, int rank) {
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int n_devices, device, ranks_per_device;
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size_t memory_per_rank;
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cudaDeviceProp device_prop;
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CHECK("get device count", cudaGetDeviceCount(&n_devices));
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if (n_ranks > n_devices) {
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if (n_ranks % n_devices != 0) {
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printf("ERROR: Number of ranks (%d) not a multiple of number of GPUs (%d)\n",
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n_ranks, n_devices);
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exit(EXIT_FAILURE);
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}
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ranks_per_device = n_ranks / n_devices;
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device = rank / ranks_per_device;
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} else {
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ranks_per_device = 1;
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device = rank;
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}
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CHECK("get device props", cudaGetDeviceProperties(&device_prop, device));
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memory_per_rank = device_prop.totalGlobalMem / ranks_per_device;
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printf("RANK[%d/%d] => DEVICE[%d/%d] mem=%zd\n", rank+1, n_ranks,
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device+1, n_devices, memory_per_rank);
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CHECK("set device", cudaSetDevice(device));
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}
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int main(int argc, char **argv) {
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int n = 1024;
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int world_size, world_rank;
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double a = 2.0;
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double sum = 0.0;
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double *x, *y, *d_x, *d_y;
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double *m_x, *m_y;
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double *allx, *ally;
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char *mb_per_core;
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MPI_Init(NULL, NULL);
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MPI_Comm_size(MPI_COMM_WORLD, &world_size);
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MPI_Comm_rank(MPI_COMM_WORLD, &world_rank);
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x = (double *)malloc(n*sizeof(*x));
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if (x == NULL) {
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printf("host malloc(x) failed\n");
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return EXIT_FAILURE;
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}
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y = (double *)malloc(n*sizeof(*y));
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if (y == NULL) {
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printf("host malloc(y) failed\n");
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return EXIT_FAILURE;
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}
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allx = (double *)malloc(n*sizeof(*x)*world_size);
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if (allx == NULL) {
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printf("host malloc(allx) failed\n");
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return EXIT_FAILURE;
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}
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ally = (double *)malloc(n*sizeof(*y)*world_size);
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if (ally == NULL) {
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printf("host malloc(ally) failed\n");
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return EXIT_FAILURE;
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}
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for (int i=0; i<n; i++) {
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x[i] = i+1;
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y[i] = -i-1;
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}
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// DEBUG weirdness on summit where GENE can't see MEMORY_PER_CORE,
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// possibly because the system spectrum mpi uses it in some way.
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if (world_rank == 0) {
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mb_per_core = getenv("MEMORY_PER_CORE");
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if (mb_per_core == NULL) {
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printf("MEMORY_PER_CORE is not set\n");
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} else {
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printf("MEMORY_PER_CORE=%s\n", mb_per_core);
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}
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}
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set_rank_device(world_size, world_rank);
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//CHECK("setDevice", cudaSetDevice(0));
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cudaProfilerStart();
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CHECK( "cublas", cublasCreate(&handle) );
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CHECK( "d_x", cudaMalloc((void**)&d_x, n*sizeof(*d_x)) );
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CHECK( "d_y", cudaMalloc((void**)&d_y, n*sizeof(*d_y)) );
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CHECK( "m_x", cudaMallocManaged((void**)&m_x, n*sizeof(*m_x)) );
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CHECK( "m_y", cudaMallocManaged((void**)&m_y, n*sizeof(*m_y)) );
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nvtxRangePushA("copyInput");
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CHECK("d_x = x",
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cudaMemcpy(d_x, x, n*sizeof(*x), cudaMemcpyHostToDevice) );
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CHECK("d_y = y",
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cudaMemcpy(d_y, y, n*sizeof(*y), cudaMemcpyHostToDevice) );
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CHECK("m_x = x",
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cudaMemcpy(m_x, x, n*sizeof(*x), cudaMemcpyHostToDevice) );
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CHECK("m_y = y",
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cudaMemcpy(m_y, y, n*sizeof(*y), cudaMemcpyHostToDevice) );
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nvtxRangePop();
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MEMINFO("d_x", d_x, sizeof(d_x));
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MEMINFO("d_y", d_y, sizeof(d_y));
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MEMINFO("m_x", m_x, sizeof(m_x));
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MEMINFO("m_y", m_y, sizeof(m_y));
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MEMINFO("x", x, sizeof(x));
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MEMINFO("y", y, sizeof(y));
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nvtxRangePushA("cublasDaxpy");
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CHECK("daxpy",
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cublasDaxpy(handle, n, &a, m_x, 1, m_y, 1) );
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CHECK("daxpy sync", cudaDeviceSynchronize());
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nvtxRangePop();
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/*
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CHECK("y = d_y",
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cudaMemcpy(y, m_y, n*sizeof(*y), cudaMemcpyDeviceToHost) );
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*/
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nvtxRangePushA("copyOutput");
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CHECK("y = d_y sync", cudaDeviceSynchronize() );
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nvtxRangePop();
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nvtxRangePushA("localSum");
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sum = 0.0;
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for (int i=0; i<n; i++) {
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//printf("%f\n", y[i]);
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sum += m_y[i];
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}
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nvtxRangePop();
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printf("%d/%d SUM = %f\n", world_rank, world_size, sum);
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nvtxRangePushA("allGather");
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nvtxRangePushA("x");
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MPI_Allgather(x, n, MPI_DOUBLE, allx, n*world_size, MPI_DOUBLE, MPI_COMM_WORLD);
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nvtxRangePop();
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nvtxRangePushA("y");
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MPI_Allgather(y, n, MPI_DOUBLE, ally, n*world_size, MPI_DOUBLE, MPI_COMM_WORLD);
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nvtxRangePop();
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nvtxRangePop();
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sum = 0.0;
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nvtxRangePushA("allSum");
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for (int i=0; i<n*world_size; i++) {
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//printf("%f\n", y[i]);
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sum += ally[i];
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}
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nvtxRangePop();
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printf("%d/%d ALLSUM = %f\n", world_rank, world_size, sum);
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// cleanup
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cudaFree(d_x);
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cudaFree(d_y);
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cudaFree(m_x);
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cudaFree(m_y);
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cublasDestroy(handle);
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MPI_Finalize();
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cudaProfilerStop();
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return EXIT_SUCCESS;
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}
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