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cudaCompressibleMemory: refactor and refine, and use only cuMemMap API for non-compressible allocation.

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hence, remove use of cudaMalloc.
This commit is contained in:
Mahesh Doijade 2020-05-27 19:00:33 +05:30
parent b60c149b17
commit 908dddb207
3 changed files with 93 additions and 99 deletions
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27
Samples/cudaCompressibleMemory/compMalloc.cpp
View File

@ -30,42 +30,27 @@
#include <cuda.h>
#include <cuda_runtime_api.h>
static int printOnce = 1;
cudaError_t setProp(CUmemAllocationProp *prop)
cudaError_t setProp(CUmemAllocationProp *prop, bool UseCompressibleMemory)
{
CUdevice currentDevice;
if (cuCtxGetDevice(&currentDevice) != CUDA_SUCCESS)
return cudaErrorMemoryAllocation;
int compressionAvailable = 0;
if (cuDeviceGetAttribute(&compressionAvailable,
CU_DEVICE_ATTRIBUTE_GENERIC_COMPRESSION_SUPPORTED,
currentDevice) != CUDA_SUCCESS)
return cudaErrorMemoryAllocation;
if (printOnce)
{
printf("Generic memory compression support %s\n",
compressionAvailable ? "is available" : "is not available");
printOnce = 0;
}
memset(prop, 0, sizeof(CUmemAllocationProp));
prop->type = CU_MEM_ALLOCATION_TYPE_PINNED;
prop->location.type = CU_MEM_LOCATION_TYPE_DEVICE;
prop->location.id = currentDevice;
if (compressionAvailable)
if (UseCompressibleMemory)
prop->allocFlags.compressionType = CU_MEM_ALLOCATION_COMP_GENERIC;
return cudaSuccess;
}
cudaError_t cudaMallocCompressible(void **adr, size_t size)
cudaError_t allocateCompressible(void **adr, size_t size, bool UseCompressibleMemory)
{
CUmemAllocationProp prop = {};
cudaError_t err = setProp(&prop);
cudaError_t err = setProp(&prop, UseCompressibleMemory);
if (err != cudaSuccess)
return err;
@ -100,10 +85,10 @@ cudaError_t cudaMallocCompressible(void **adr, size_t size)
return cudaSuccess;
}
cudaError_t cudaFreeCompressible(void *ptr, size_t size)
cudaError_t freeCompressible(void *ptr, size_t size, bool UseCompressibleMemory)
{
CUmemAllocationProp prop = {};
cudaError_t err = setProp(&prop);
cudaError_t err = setProp(&prop, UseCompressibleMemory);
if (err != cudaSuccess)
return err;

4
Samples/cudaCompressibleMemory/compMalloc.h
View File

@ -28,7 +28,7 @@
#ifndef COMP_MALLOC_H
#define COMP_MALLOC_H
cudaError_t cudaMallocCompressible(void **adr, size_t size);
cudaError_t cudaFreeCompressible(void *ptr, size_t size);
cudaError_t allocateCompressible(void **adr, size_t size, bool UseCompressibleMemory);
cudaError_t freeCompressible(void *ptr, size_t size, bool UseCompressibleMemory);
#endif

161
Samples/cudaCompressibleMemory/saxpy.cu
View File

@ -37,112 +37,121 @@
#include "helper_cuda.h"
#include "compMalloc.h"
__global__ void saxpy(float a, float4 *x, float4 *y, float4 *z, int64_t n)
__global__ void saxpy(const float a, const float4 *x, const float4 *y, float4 *z, const size_t n)
{
int64_t i = blockIdx.x * blockDim.x + threadIdx.x;
if (i >= n)
return;
z[i] = make_float4(a * x[i].x + y[i].x,
a * x[i].y + y[i].y,
a * x[i].z + y[i].z,
a * x[i].w + y[i].w);
for (size_t i = blockIdx.x * blockDim.x + threadIdx.x; i < n; i += gridDim.x * blockDim.x)
{
const float4 x4 = x[i];
const float4 y4 = y[i];
z[i] = make_float4(a * x4.x + y4.x, a * x4.y + y4.y,
a * x4.z + y4.z, a * x4.w + y4.w);
}
}
__global__ void init(float4 *x, float4 *y, float4 *z, float val, int64_t n)
__global__ void init(float4 *x, float4 *y, float4 *z, const float val, const size_t n)
{
int64_t i = blockIdx.x * blockDim.x + threadIdx.x;
if (i < n)
const float4 val4 = make_float4(val, val, val, val);
for (size_t i = blockIdx.x * blockDim.x + threadIdx.x; i < n; i += gridDim.x * blockDim.x)
{
x[i] = make_float4(val, val, val, val);
y[i] = make_float4(val, val, val, val);
z[i] = make_float4(val, val, val, val);
z[i] = x[i] = y[i] = val4;
}
}
void launchSaxpy(const float a, float4 *x, float4 *y, float4 *z, const size_t n, const float init_val)
{
cudaEvent_t start, stop;
float ms;
int blockSize;
int minGridSize;
checkCudaErrors(cudaOccupancyMaxPotentialBlockSize(&minGridSize, &blockSize, (void*)init));
dim3 threads = dim3(blockSize, 1, 1);
dim3 blocks = dim3(minGridSize, 1, 1);
init<<<blocks, threads>>>(x, y, z, init_val, n);
checkCudaErrors(cudaOccupancyMaxPotentialBlockSize(&minGridSize, &blockSize, (void*)saxpy));
threads = dim3(blockSize, 1, 1);
blocks = dim3(minGridSize, 1, 1);
checkCudaErrors(cudaEventCreate(&start));
checkCudaErrors(cudaEventCreate(&stop));
checkCudaErrors(cudaEventRecord(start));
saxpy<<<blocks, threads>>>(a, x, y, z, n);
checkCudaErrors(cudaEventRecord(stop));
checkCudaErrors(cudaEventSynchronize(stop));
checkCudaErrors(cudaEventElapsedTime(&ms, start, stop));
const size_t size = n * sizeof(float4);
printf("Running saxpy with %d blocks x %d threads = %.3f ms %.3f TB/s\n", blocks.x, threads.x, ms, (size*3)/ms/1e9);
}
int main(int argc, char **argv)
{
int devId, UseCompressibleMemory = 1;
int64_t n = 10485760;
const size_t n = 10485760;
if (checkCmdLineFlag(argc, (const char **)argv, "help") ||
checkCmdLineFlag(argc, (const char **)argv, "?")) {
printf("Usage -device=n (n >= 0 for deviceID)\n");
printf(" -UseCompressibleMemory=0 or 1 (default is 1 : Use compressible memory)\n");
exit(EXIT_SUCCESS);
}
if (checkCmdLineFlag(argc, (const char **)argv, "UseCompressibleMemory")) {
UseCompressibleMemory = getCmdLineArgumentInt(argc, (const char **)argv, "UseCompressibleMemory");
if (UseCompressibleMemory > 1) {
printf("Permitted options for UseCompressibleMemory are 0 or 1, you have entered %d \n", UseCompressibleMemory);
exit(EXIT_WAIVED);
}
}
devId = findCudaDevice(argc, (const char**)argv);
findCudaDevice(argc, (const char**)argv);
CUdevice currentDevice;
checkCudaErrors(cuCtxGetDevice(&currentDevice));
// Check that the selected device supports virtual address management
int vam_supported = -1;
checkCudaErrors(cuDeviceGetAttribute(&vam_supported,
// Check that the selected device supports virtual memory management
int vmm_supported = -1;
checkCudaErrors(cuDeviceGetAttribute(&vmm_supported,
CU_DEVICE_ATTRIBUTE_VIRTUAL_ADDRESS_MANAGEMENT_SUPPORTED,
currentDevice));
printf("Device %d VIRTUAL ADDRESS MANAGEMENT SUPPORTED = %d.\n", currentDevice, vam_supported);
if (vam_supported == 0) {
printf("Device %d doesn't support VIRTUAL ADDRESS MANAGEMENT, so not using compressible memory.\n", currentDevice);
UseCompressibleMemory = 0;
if (vmm_supported == 0) {
printf("Device %d doesn't support Virtual Memory Management, waiving the execution.\n", currentDevice);
exit(EXIT_WAIVED);
}
int nsm = 0;
checkCudaErrors(cudaDeviceGetAttribute(&nsm, cudaDevAttrMultiProcessorCount, devId));
printf("Found %d SMs on the device\n", nsm);
int isCompressionAvailable;
checkCudaErrors(cuDeviceGetAttribute(&isCompressionAvailable,
CU_DEVICE_ATTRIBUTE_GENERIC_COMPRESSION_SUPPORTED,
currentDevice));
if (isCompressionAvailable == 0)
{
printf("Device %d doesn't support Generic memory compression, waiving the execution.\n", currentDevice);
exit(EXIT_WAIVED);
}
printf("Generic memory compression support is available\n");
float4 *x, *y, *z;
size_t size = n * sizeof(float4);
if (UseCompressibleMemory) {
checkCudaErrors(cudaMallocCompressible((void **)&x, size));
checkCudaErrors(cudaMallocCompressible((void **)&y, size));
checkCudaErrors(cudaMallocCompressible((void **)&z, size));
}
else {
printf("Using non compressible memory\n");
checkCudaErrors(cudaMalloc((void **)&x, size));
checkCudaErrors(cudaMalloc((void **)&y, size));
checkCudaErrors(cudaMalloc((void **)&z, size));
}
const size_t size = n * sizeof(float4);
printf("Running saxpy on %lu bytes\n", size);
// Allocating compressible memory
checkCudaErrors(allocateCompressible((void **)&x, size, true));
checkCudaErrors(allocateCompressible((void **)&y, size, true));
checkCudaErrors(allocateCompressible((void **)&z, size, true));
cudaEvent_t start, stop;
float ms;
checkCudaErrors(cudaEventCreate(&start));
checkCudaErrors(cudaEventCreate(&stop));
dim3 threads(1024, 1, 1);
dim3 blocks;
printf("Running saxpy on %zu bytes of Compressible memory\n", size);
init<<<n / 1024, 1024>>>(x, y, z, 1.0f, n);
checkCudaErrors(cudaDeviceSynchronize());
// Running with single element per thread, lots of blocks
blocks = dim3(n / threads.x, 1, 1);
checkCudaErrors(cudaEventRecord(start));
saxpy<<<blocks, threads>>>(1.0f, x, y, z, n);
checkCudaErrors(cudaEventRecord(stop));
checkCudaErrors(cudaEventSynchronize(stop));
checkCudaErrors(cudaEventElapsedTime(&ms, start, stop));
printf("Running saxpy with %d blocks x %d threads = %.3f ms %.3f TB/s\n", blocks.x, threads.x, ms, (size*3)/ms/1e9);
const float a = 1.0f;
const float init_val = 1.0f;
launchSaxpy(a, x, y, z, n, init_val);
if (UseCompressibleMemory) {
checkCudaErrors(cudaFreeCompressible(x, size));
checkCudaErrors(cudaFreeCompressible(y, size));
checkCudaErrors(cudaFreeCompressible(z, size));
}
else {
checkCudaErrors(cudaFree(x));
checkCudaErrors(cudaFree(y));
checkCudaErrors(cudaFree(z));
}
checkCudaErrors(freeCompressible(x, size, true));
checkCudaErrors(freeCompressible(y, size, true));
checkCudaErrors(freeCompressible(z, size, true));
printf("Running saxpy on %zu bytes of Non-Compressible memory\n", size);
// Allocating non-compressible memory
checkCudaErrors(allocateCompressible((void **)&x, size, false));
checkCudaErrors(allocateCompressible((void **)&y, size, false));
checkCudaErrors(allocateCompressible((void **)&z, size, false));
launchSaxpy(a, x, y, z, n, init_val);
checkCudaErrors(freeCompressible(x, size, false));
checkCudaErrors(freeCompressible(y, size, false));
checkCudaErrors(freeCompressible(z, size, false));
printf("\nNOTE: The CUDA Samples are not meant for performance measurements. "
"Results may vary when GPU Boost is enabled.\n");
return EXIT_SUCCESS;
}