mirror of
https://github.com/NVIDIA/cuda-samples.git
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198 lines
7.9 KiB
Plaintext
198 lines
7.9 KiB
Plaintext
/* 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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//
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// This sample uses the compressible memory allocation if device supports it
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// and performs saxpy on it.
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// Compressible memory may give better performance if the data is amenable to
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// compression.
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#include <stdio.h>
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#include <cuda.h>
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#define CUDA_DRIVER_API
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#include "helper_cuda.h"
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#include "compMalloc.h"
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__global__ void saxpy(const float a, const float4 *x, const float4 *y, float4 *z, const size_t n)
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{
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for (size_t i = blockIdx.x * blockDim.x + threadIdx.x; i < n; i += gridDim.x * blockDim.x)
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{
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const float4 x4 = x[i];
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const float4 y4 = y[i];
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z[i] = make_float4(a * x4.x + y4.x, a * x4.y + y4.y,
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a * x4.z + y4.z, a * x4.w + y4.w);
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}
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}
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__global__ void init(float4 *x, float4 *y, const float val, const size_t n)
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{
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const float4 val4 = make_float4(val, val, val, val);
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for (size_t i = blockIdx.x * blockDim.x + threadIdx.x; i < n; i += gridDim.x * blockDim.x)
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{
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x[i] = y[i] = val4;
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}
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}
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void launchSaxpy(const float a, float4 *x, float4 *y, float4 *z, const size_t n, const float init_val, const bool compressibleZbuf)
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{
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cudaEvent_t start, stop;
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float ms;
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int blockSize;
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int minGridSize;
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dim3 threads, blocks;
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if (!compressibleZbuf)
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{
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// We are on config where compressible buffer can only be initialized through cudaMemcpy
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// hence, x & y buffers are allocated as compressible and initialized via cudaMemcpy
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// whereas z buffer is allocated as non-compressible.
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float4 *h_x = (float4 *) malloc(sizeof(float4) * n);
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float4 *h_y = (float4 *) malloc(sizeof(float4) * n);
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for (int i = 0; i < n; i++)
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{
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h_x[i].x = h_x[i].y = h_x[i].z = h_x[i].w = init_val;
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h_y[i].x = h_y[i].y = h_y[i].z = h_y[i].w = init_val;
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}
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checkCudaErrors(cudaMemcpy(x, h_x, sizeof(float4) * n, cudaMemcpyHostToDevice));
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checkCudaErrors(cudaMemcpy(y, h_y, sizeof(float4) * n, cudaMemcpyHostToDevice));
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free(h_x);
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free(h_y);
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}
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else
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{
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checkCudaErrors(cudaOccupancyMaxPotentialBlockSize(&minGridSize, &blockSize, (void*)init));
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threads = dim3(blockSize, 1, 1);
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blocks = dim3(minGridSize, 1, 1);
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init<<<blocks, threads>>>(x, y, init_val, n);
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}
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checkCudaErrors(cudaOccupancyMaxPotentialBlockSize(&minGridSize, &blockSize, (void*)saxpy));
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threads = dim3(blockSize, 1, 1);
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blocks = dim3(minGridSize, 1, 1);
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checkCudaErrors(cudaEventCreate(&start));
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checkCudaErrors(cudaEventCreate(&stop));
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checkCudaErrors(cudaEventRecord(start));
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saxpy<<<blocks, threads>>>(a, x, y, z, n);
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checkCudaErrors(cudaEventRecord(stop));
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checkCudaErrors(cudaEventSynchronize(stop));
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checkCudaErrors(cudaEventElapsedTime(&ms, start, stop));
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const size_t size = n * sizeof(float4);
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printf("Running saxpy with %d blocks x %d threads = %.3f ms %.3f TB/s\n", blocks.x, threads.x, ms, (size*3)/ms/1e9);
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}
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int main(int argc, char **argv)
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{
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const size_t n = 10485760;
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if (checkCmdLineFlag(argc, (const char **)argv, "help") ||
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checkCmdLineFlag(argc, (const char **)argv, "?")) {
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printf("Usage -device=n (n >= 0 for deviceID)\n");
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exit(EXIT_SUCCESS);
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}
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findCudaDevice(argc, (const char**)argv);
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CUdevice currentDevice;
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checkCudaErrors(cuCtxGetDevice(¤tDevice));
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// Check that the selected device supports virtual memory management
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int vmm_supported = -1;
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checkCudaErrors(cuDeviceGetAttribute(&vmm_supported,
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CU_DEVICE_ATTRIBUTE_VIRTUAL_ADDRESS_MANAGEMENT_SUPPORTED,
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currentDevice));
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if (vmm_supported == 0) {
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printf("Device %d doesn't support Virtual Memory Management, waiving the execution.\n", currentDevice);
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exit(EXIT_WAIVED);
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}
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int isCompressionAvailable;
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checkCudaErrors(cuDeviceGetAttribute(&isCompressionAvailable,
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CU_DEVICE_ATTRIBUTE_GENERIC_COMPRESSION_SUPPORTED,
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currentDevice));
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if (isCompressionAvailable == 0)
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{
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printf("Device %d doesn't support Generic memory compression, waiving the execution.\n", currentDevice);
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exit(EXIT_WAIVED);
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}
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printf("Generic memory compression support is available\n");
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int major, minor;
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checkCudaErrors(cuDeviceGetAttribute(&major,
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CU_DEVICE_ATTRIBUTE_COMPUTE_CAPABILITY_MAJOR,
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currentDevice));
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checkCudaErrors(cuDeviceGetAttribute(&minor,
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CU_DEVICE_ATTRIBUTE_COMPUTE_CAPABILITY_MINOR,
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currentDevice));
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float4 *x, *y, *z;
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const size_t size = n * sizeof(float4);
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// Allocating compressible memory
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checkCudaErrors(allocateCompressible((void **)&x, size, true));
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checkCudaErrors(allocateCompressible((void **)&y, size, true));
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bool compressibleZbuf = 0;
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if ((major == 8 && minor == 0) || (major == 8 && minor == 6))
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{
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// On SM 8.0 and 8.6 GPUs compressible buffer can only be initialized
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// through cudaMemcpy.
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printf("allocating non-compressible Z buffer\n");
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checkCudaErrors(allocateCompressible((void **)&z, size, false));
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compressibleZbuf = 0;
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}
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else
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{
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checkCudaErrors(allocateCompressible((void **)&z, size, true));
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compressibleZbuf = 1;
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}
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printf("Running saxpy on %zu bytes of Compressible memory\n", size);
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const float a = 1.0f;
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const float init_val = 1.0f;
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launchSaxpy(a, x, y, z, n, init_val, compressibleZbuf);
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checkCudaErrors(freeCompressible(x, size, true));
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checkCudaErrors(freeCompressible(y, size, true));
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checkCudaErrors(freeCompressible(z, size, true));
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printf("Running saxpy on %zu bytes of Non-Compressible memory\n", size);
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// Allocating non-compressible memory
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checkCudaErrors(allocateCompressible((void **)&x, size, false));
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checkCudaErrors(allocateCompressible((void **)&y, size, false));
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checkCudaErrors(allocateCompressible((void **)&z, size, false));
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launchSaxpy(a, x, y, z, n, init_val, compressibleZbuf);
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checkCudaErrors(freeCompressible(x, size, false));
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checkCudaErrors(freeCompressible(y, size, false));
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checkCudaErrors(freeCompressible(z, size, false));
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printf("\nNOTE: The CUDA Samples are not meant for performance measurements. "
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"Results may vary when GPU Boost is enabled.\n");
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return EXIT_SUCCESS;
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} |