mirror of
https://github.com/NVIDIA/cuda-samples.git
synced 2024-11-24 22:59:18 +08:00
166 lines
5.8 KiB
Plaintext
166 lines
5.8 KiB
Plaintext
|
/* Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
|
||
|
*
|
||
|
* Redistribution and use in source and binary forms, with or without
|
||
|
* modification, are permitted provided that the following conditions
|
||
|
* are met:
|
||
|
* * Redistributions of source code must retain the above copyright
|
||
|
* notice, this list of conditions and the following disclaimer.
|
||
|
* * Redistributions in binary form must reproduce the above copyright
|
||
|
* notice, this list of conditions and the following disclaimer in the
|
||
|
* documentation and/or other materials provided with the distribution.
|
||
|
* * Neither the name of NVIDIA CORPORATION nor the names of its
|
||
|
* contributors may be used to endorse or promote products derived
|
||
|
* from this software without specific prior written permission.
|
||
|
*
|
||
|
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``AS IS'' AND ANY
|
||
|
* EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
|
||
|
* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
|
||
|
* PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR
|
||
|
* CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
|
||
|
* EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
|
||
|
* PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
|
||
|
* PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY
|
||
|
* OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
|
||
|
* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
|
||
|
* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
|
||
|
*/
|
||
|
|
||
|
/* Template project which demonstrates the basics on how to setup a project
|
||
|
* example application.
|
||
|
* Host code.
|
||
|
*/
|
||
|
|
||
|
// includes, system
|
||
|
#include <stdlib.h>
|
||
|
#include <stdio.h>
|
||
|
#include <string.h>
|
||
|
#include <math.h>
|
||
|
|
||
|
// includes CUDA
|
||
|
#include <cuda_runtime.h>
|
||
|
|
||
|
// includes, project
|
||
|
#include <helper_cuda.h>
|
||
|
#include <helper_functions.h> // helper functions for SDK examples
|
||
|
|
||
|
////////////////////////////////////////////////////////////////////////////////
|
||
|
// declaration, forward
|
||
|
void runTest(int argc, char **argv);
|
||
|
|
||
|
extern "C" void computeGold(float *reference, float *idata,
|
||
|
const unsigned int len);
|
||
|
|
||
|
////////////////////////////////////////////////////////////////////////////////
|
||
|
//! Simple test kernel for device functionality
|
||
|
//! @param g_idata input data in global memory
|
||
|
//! @param g_odata output data in global memory
|
||
|
////////////////////////////////////////////////////////////////////////////////
|
||
|
__global__ void testKernel(float *g_idata, float *g_odata) {
|
||
|
// shared memory
|
||
|
// the size is determined by the host application
|
||
|
extern __shared__ float sdata[];
|
||
|
|
||
|
// access thread id
|
||
|
const unsigned int tid = threadIdx.x;
|
||
|
// access number of threads in this block
|
||
|
const unsigned int num_threads = blockDim.x;
|
||
|
|
||
|
// read in input data from global memory
|
||
|
sdata[tid] = g_idata[tid];
|
||
|
__syncthreads();
|
||
|
|
||
|
// perform some computations
|
||
|
sdata[tid] = (float)num_threads * sdata[tid];
|
||
|
__syncthreads();
|
||
|
|
||
|
// write data to global memory
|
||
|
g_odata[tid] = sdata[tid];
|
||
|
}
|
||
|
|
||
|
////////////////////////////////////////////////////////////////////////////////
|
||
|
// Program main
|
||
|
////////////////////////////////////////////////////////////////////////////////
|
||
|
int main(int argc, char **argv) { runTest(argc, argv); }
|
||
|
|
||
|
////////////////////////////////////////////////////////////////////////////////
|
||
|
//! Run a simple test for CUDA
|
||
|
////////////////////////////////////////////////////////////////////////////////
|
||
|
void runTest(int argc, char **argv) {
|
||
|
bool bTestResult = true;
|
||
|
|
||
|
printf("%s Starting...\n\n", argv[0]);
|
||
|
|
||
|
// use command-line specified CUDA device, otherwise use device with highest
|
||
|
// Gflops/s
|
||
|
int devID = findCudaDevice(argc, (const char **)argv);
|
||
|
|
||
|
StopWatchInterface *timer = 0;
|
||
|
sdkCreateTimer(&timer);
|
||
|
sdkStartTimer(&timer);
|
||
|
|
||
|
unsigned int num_threads = 32;
|
||
|
unsigned int mem_size = sizeof(float) * num_threads;
|
||
|
|
||
|
// allocate host memory
|
||
|
float *h_idata = (float *)malloc(mem_size);
|
||
|
|
||
|
// initalize the memory
|
||
|
for (unsigned int i = 0; i < num_threads; ++i) {
|
||
|
h_idata[i] = (float)i;
|
||
|
}
|
||
|
|
||
|
// allocate device memory
|
||
|
float *d_idata;
|
||
|
checkCudaErrors(cudaMalloc((void **)&d_idata, mem_size));
|
||
|
// copy host memory to device
|
||
|
checkCudaErrors(
|
||
|
cudaMemcpy(d_idata, h_idata, mem_size, cudaMemcpyHostToDevice));
|
||
|
|
||
|
// allocate device memory for result
|
||
|
float *d_odata;
|
||
|
checkCudaErrors(cudaMalloc((void **)&d_odata, mem_size));
|
||
|
|
||
|
// setup execution parameters
|
||
|
dim3 grid(1, 1, 1);
|
||
|
dim3 threads(num_threads, 1, 1);
|
||
|
|
||
|
// execute the kernel
|
||
|
testKernel<<<grid, threads, mem_size>>>(d_idata, d_odata);
|
||
|
|
||
|
// check if kernel execution generated and error
|
||
|
getLastCudaError("Kernel execution failed");
|
||
|
|
||
|
// allocate mem for the result on host side
|
||
|
float *h_odata = (float *)malloc(mem_size);
|
||
|
// copy result from device to host
|
||
|
checkCudaErrors(cudaMemcpy(h_odata, d_odata, sizeof(float) * num_threads,
|
||
|
cudaMemcpyDeviceToHost));
|
||
|
|
||
|
sdkStopTimer(&timer);
|
||
|
printf("Processing time: %f (ms)\n", sdkGetTimerValue(&timer));
|
||
|
sdkDeleteTimer(&timer);
|
||
|
|
||
|
// compute reference solution
|
||
|
float *reference = (float *)malloc(mem_size);
|
||
|
computeGold(reference, h_idata, num_threads);
|
||
|
|
||
|
// check result
|
||
|
if (checkCmdLineFlag(argc, (const char **)argv, "regression")) {
|
||
|
// write file for regression test
|
||
|
sdkWriteFile("./data/regression.dat", h_odata, num_threads, 0.0f, false);
|
||
|
} else {
|
||
|
// custom output handling when no regression test running
|
||
|
// in this case check if the result is equivalent to the expected solution
|
||
|
bTestResult = compareData(reference, h_odata, num_threads, 0.0f, 0.0f);
|
||
|
}
|
||
|
|
||
|
// cleanup memory
|
||
|
free(h_idata);
|
||
|
free(h_odata);
|
||
|
free(reference);
|
||
|
checkCudaErrors(cudaFree(d_idata));
|
||
|
checkCudaErrors(cudaFree(d_odata));
|
||
|
|
||
|
exit(bTestResult ? EXIT_SUCCESS : EXIT_FAILURE);
|
||
|
}
|