mirror of
https://github.com/NVIDIA/cuda-samples.git
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119 lines
4.7 KiB
C++
119 lines
4.7 KiB
C++
/* Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
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*
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* Redistribution and use in source and binary forms, with or without
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* modification, are permitted provided that the following conditions
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* are met:
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* * Redistributions of source code must retain the above copyright
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* notice, this list of conditions and the following disclaimer.
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* * Redistributions in binary form must reproduce the above copyright
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* notice, this list of conditions and the following disclaimer in the
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* documentation and/or other materials provided with the distribution.
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* * Neither the name of NVIDIA CORPORATION nor the names of its
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* contributors may be used to endorse or promote products derived
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* from this software without specific prior written permission.
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*
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* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``AS IS'' AND ANY
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* EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
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* PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR
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* CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
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* EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
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* PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
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* PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY
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* OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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*/
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#include <stdio.h>
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#include <string.h>
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#include <helper_cuda.h>
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#include <cuda.h>
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#include <cuda_runtime_api.h>
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cudaError_t setProp(CUmemAllocationProp *prop, bool UseCompressibleMemory)
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{
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CUdevice currentDevice;
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if (cuCtxGetDevice(¤tDevice) != CUDA_SUCCESS)
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return cudaErrorMemoryAllocation;
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memset(prop, 0, sizeof(CUmemAllocationProp));
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prop->type = CU_MEM_ALLOCATION_TYPE_PINNED;
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prop->location.type = CU_MEM_LOCATION_TYPE_DEVICE;
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prop->location.id = currentDevice;
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if (UseCompressibleMemory)
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prop->allocFlags.compressionType = CU_MEM_ALLOCATION_COMP_GENERIC;
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return cudaSuccess;
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}
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cudaError_t allocateCompressible(void **adr, size_t size, bool UseCompressibleMemory)
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{
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CUmemAllocationProp prop = {};
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cudaError_t err = setProp(&prop, UseCompressibleMemory);
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if (err != cudaSuccess)
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return err;
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size_t granularity = 0;
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if (cuMemGetAllocationGranularity(&granularity, &prop,
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CU_MEM_ALLOC_GRANULARITY_MINIMUM) != CUDA_SUCCESS)
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return cudaErrorMemoryAllocation;
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size = ((size - 1) / granularity + 1) * granularity;
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CUdeviceptr dptr;
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if (cuMemAddressReserve(&dptr, size, 0, 0, 0) != CUDA_SUCCESS)
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return cudaErrorMemoryAllocation;
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CUmemGenericAllocationHandle allocationHandle;
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if (cuMemCreate(&allocationHandle, size, &prop, 0) != CUDA_SUCCESS)
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return cudaErrorMemoryAllocation;
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// Check if cuMemCreate was able to allocate compressible memory.
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if (UseCompressibleMemory) {
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CUmemAllocationProp allocationProp = {};
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cuMemGetAllocationPropertiesFromHandle(&allocationProp, allocationHandle);
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if (allocationProp.allocFlags.compressionType != CU_MEM_ALLOCATION_COMP_GENERIC) {
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printf("Could not allocate compressible memory... so waiving execution\n");
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exit(EXIT_WAIVED);
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}
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}
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if (cuMemMap(dptr, size, 0, allocationHandle, 0) != CUDA_SUCCESS)
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return cudaErrorMemoryAllocation;
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if (cuMemRelease(allocationHandle) != CUDA_SUCCESS)
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return cudaErrorMemoryAllocation;
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CUmemAccessDesc accessDescriptor;
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accessDescriptor.location.id = prop.location.id;
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accessDescriptor.location.type = prop.location.type;
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accessDescriptor.flags = CU_MEM_ACCESS_FLAGS_PROT_READWRITE;
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if (cuMemSetAccess(dptr, size, &accessDescriptor, 1) != CUDA_SUCCESS)
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return cudaErrorMemoryAllocation;
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*adr = (void *)dptr;
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return cudaSuccess;
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}
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cudaError_t freeCompressible(void *ptr, size_t size, bool UseCompressibleMemory)
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{
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CUmemAllocationProp prop = {};
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cudaError_t err = setProp(&prop, UseCompressibleMemory);
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if (err != cudaSuccess)
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return err;
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size_t granularity = 0;
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if (cuMemGetAllocationGranularity(&granularity, &prop,
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CU_MEM_ALLOC_GRANULARITY_MINIMUM) != CUDA_SUCCESS)
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return cudaErrorMemoryAllocation;
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size = ((size - 1) / granularity + 1) * granularity;
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if (ptr == NULL)
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return cudaSuccess;
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if (cuMemUnmap((CUdeviceptr)ptr, size) != CUDA_SUCCESS ||
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cuMemAddressFree((CUdeviceptr)ptr, size) != CUDA_SUCCESS)
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return cudaErrorInvalidValue;
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return cudaSuccess;
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}
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