/* * Copyright 1993-2015 NVIDIA Corporation. All rights reserved. * * Please refer to the NVIDIA end user license agreement (EULA) associated * with this source code for terms and conditions that govern your use of * this software. Any use, reproduction, disclosure, or distribution of * this software and related documentation outside the terms of the EULA * is strictly prohibited. * */ /* A simple program demonstrating trivial use of global memory atomic * device functions (atomic*() functions). */ // includes, system #include #include #include #include #ifdef _WIN32 # define WINDOWS_LEAN_AND_MEAN # define NOMINMAX # include #endif // Includes CUDA #include #include // Utilities and timing functions #include // includes cuda.h and cuda_runtime_api.h const char *sampleName = "simpleAtomicIntrinsics_nvrtc"; //////////////////////////////////////////////////////////////////////////////// // Auto-Verification Code bool testResult = true; //////////////////////////////////////////////////////////////////////////////// // Declaration, forward void runTest(int argc, char **argv); extern "C" bool computeGold(int *gpuData, const int len); //////////////////////////////////////////////////////////////////////////////// // Program main //////////////////////////////////////////////////////////////////////////////// int main(int argc, char **argv) { printf("%s starting...\n", sampleName); runTest(argc, argv); printf("%s completed, returned %s\n", sampleName, testResult ? "OK" : "ERROR!"); exit(testResult ? EXIT_SUCCESS : EXIT_FAILURE); } //////////////////////////////////////////////////////////////////////////////// //! Run a simple test for CUDA //////////////////////////////////////////////////////////////////////////////// void runTest(int argc, char **argv) { int dev = 0; char *cubin, *kernel_file; size_t cubinSize; kernel_file = sdkFindFilePath("simpleAtomicIntrinsics_kernel.cuh", argv[0]); compileFileToCUBIN(kernel_file, argc, argv, &cubin, &cubinSize, 0); CUmodule module = loadCUBIN(cubin, argc, argv); CUfunction kernel_addr; checkCudaErrors(cuModuleGetFunction(&kernel_addr, module, "testKernel")); StopWatchInterface *timer; sdkCreateTimer(&timer); sdkStartTimer(&timer); unsigned int numThreads = 256; unsigned int numBlocks = 64; unsigned int numData = 11; unsigned int memSize = sizeof(int) * numData; //allocate mem for the result on host side int *hOData = (int *) malloc(memSize); //initialize the memory for (unsigned int i = 0; i < numData; i++) hOData[i] = 0; //To make the AND and XOR tests generate something other than 0... hOData[8] = hOData[10] = 0xff; // allocate device memory for result CUdeviceptr dOData; checkCudaErrors(cuMemAlloc(&dOData, memSize)); checkCudaErrors(cuMemcpyHtoD(dOData, hOData, memSize)); // execute the kernel dim3 cudaBlockSize(numThreads,1,1); dim3 cudaGridSize(numBlocks, 1, 1); void *arr[] = { (void *)&dOData }; checkCudaErrors(cuLaunchKernel(kernel_addr, cudaGridSize.x, cudaGridSize.y, cudaGridSize.z, /* grid dim */ cudaBlockSize.x, cudaBlockSize.y, cudaBlockSize.z, /* block dim */ 0,0, /* shared mem, stream */ &arr[0], /* arguments */ 0)); checkCudaErrors(cuCtxSynchronize()); checkCudaErrors(cuMemcpyDtoH(hOData, dOData, memSize)); //Copy result from device to host sdkStopTimer(&timer); printf("Processing time: %f (ms)\n", sdkGetTimerValue(&timer)); sdkDeleteTimer(&timer); // Compute reference solution testResult = computeGold(hOData, numThreads * numBlocks); // Cleanup memory free(hOData); checkCudaErrors(cuMemFree(dOData)); }