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https://github.com/NVIDIA/cuda-samples.git
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135 lines
4.7 KiB
Plaintext
135 lines
4.7 KiB
Plaintext
/* Copyright (c) 2021, 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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/* A simple program demonstrating trivial use of global memory atomic
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* device functions (atomic*() functions).
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*/
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// includes, system
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#include <stdlib.h>
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#include <stdio.h>
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#include <string.h>
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#include <math.h>
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#ifdef _WIN32
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#define WINDOWS_LEAN_AND_MEAN
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#define NOMINMAX
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#include <windows.h>
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#endif
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// Includes CUDA
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#include <cuda_runtime.h>
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// Utilities and timing functions
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#include <helper_functions.h> // includes cuda.h and cuda_runtime_api.h
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// CUDA helper functions
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#include <helper_cuda.h> // helper functions for CUDA error check
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// Includes, kernels
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#include "simpleAtomicIntrinsics_kernel.cuh"
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const char *sampleName = "simpleAtomicIntrinsics";
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////////////////////////////////////////////////////////////////////////////////
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// Auto-Verification Code
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bool testResult = true;
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////////////////////////////////////////////////////////////////////////////////
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// Declaration, forward
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void runTest(int argc, char **argv);
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extern "C" bool computeGold(int *gpuData, const int len);
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////////////////////////////////////////////////////////////////////////////////
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// Program main
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////////////////////////////////////////////////////////////////////////////////
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int main(int argc, char **argv) {
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printf("%s starting...\n", sampleName);
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runTest(argc, argv);
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printf("%s completed, returned %s\n", sampleName,
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testResult ? "OK" : "ERROR!");
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exit(testResult ? EXIT_SUCCESS : EXIT_FAILURE);
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}
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////////////////////////////////////////////////////////////////////////////////
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//! Run a simple test for CUDA
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////////////////////////////////////////////////////////////////////////////////
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void runTest(int argc, char **argv) {
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cudaStream_t stream;
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// This will pick the best possible CUDA capable device
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findCudaDevice(argc, (const char **)argv);
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StopWatchInterface *timer;
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sdkCreateTimer(&timer);
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sdkStartTimer(&timer);
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unsigned int numThreads = 256;
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unsigned int numBlocks = 64;
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unsigned int numData = 11;
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unsigned int memSize = sizeof(int) * numData;
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// allocate mem for the result on host side
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int *hOData;
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checkCudaErrors(cudaMallocHost(&hOData, memSize));
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// initialize the memory
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for (unsigned int i = 0; i < numData; i++) hOData[i] = 0;
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// To make the AND and XOR tests generate something other than 0...
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hOData[8] = hOData[10] = 0xff;
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checkCudaErrors(cudaStreamCreateWithFlags(&stream, cudaStreamNonBlocking));
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// allocate device memory for result
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int *dOData;
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checkCudaErrors(cudaMalloc((void **)&dOData, memSize));
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// copy host memory to device to initialize to zero
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checkCudaErrors(
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cudaMemcpyAsync(dOData, hOData, memSize, cudaMemcpyHostToDevice, stream));
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// execute the kernel
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testKernel<<<numBlocks, numThreads, 0, stream>>>(dOData);
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// Copy result from device to host
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checkCudaErrors(
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cudaMemcpyAsync(hOData, dOData, memSize, cudaMemcpyDeviceToHost, stream));
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checkCudaErrors(cudaStreamSynchronize(stream));
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sdkStopTimer(&timer);
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printf("Processing time: %f (ms)\n", sdkGetTimerValue(&timer));
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sdkDeleteTimer(&timer);
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// Compute reference solution
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testResult = computeGold(hOData, numThreads * numBlocks);
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// Cleanup memory
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checkCudaErrors(cudaFreeHost(hOData));
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checkCudaErrors(cudaFree(dOData));
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}
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