simpleAtomicIntrinsics.cpp

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/* A simple program demonstrating trivial use of global memory atomic
 * device functions (atomic*() functions).
 */

// includes, system
#include <stdlib.h>
#include <stdio.h>
#include <string.h>
#include <math.h>

#ifdef _WIN32
#define WINDOWS_LEAN_AND_MEAN
#define NOMINMAX
#include <windows.h>
#endif

// Includes CUDA
#include <cuda_runtime.h>
#include <nvrtc_helper.h>

// Utilities and timing functions
#include <helper_functions.h>  // 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));
}