/* * Copyright 1993-2010 NVIDIA Corporation. All rights reserved. * * NVIDIA Corporation and its licensors retain all intellectual property and * proprietary rights in and to this software and related documentation. * Any use, reproduction, disclosure, or distribution of this software * and related documentation without an express license agreement from * NVIDIA Corporation is strictly prohibited. * * Please refer to the applicable NVIDIA end user license agreement (EULA) * associated with this source code for terms and conditions that govern * your use of this NVIDIA software. * */ /* Template project which demonstrates the basics on how to setup a project * example application. * Host code. */ // includes, system #include #include #include #include // includes, project #include // includes, kernels #include //////////////////////////////////////////////////////////////////////////////// // declaration, forward void runTest( int argc, char** argv); extern "C" void computeGold( float* reference, float* idata, const unsigned int len); //////////////////////////////////////////////////////////////////////////////// // Program main //////////////////////////////////////////////////////////////////////////////// int main( int argc, char** argv) { runTest( argc, argv); cutilExit(argc, argv); } //////////////////////////////////////////////////////////////////////////////// //! Run a simple test for CUDA //////////////////////////////////////////////////////////////////////////////// void runTest( int argc, char** argv) { // use command-line specified CUDA device, otherwise use device with highest Gflops/s if( cutCheckCmdLineFlag(argc, (const char**)argv, "device") ) cutilDeviceInit(argc, argv); else cudaSetDevice( cutGetMaxGflopsDeviceId() ); unsigned int timer = 0; cutilCheckError( cutCreateTimer( &timer)); cutilCheckError( cutStartTimer( 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; cutilSafeCall( cudaMalloc( (void**) &d_idata, mem_size)); // copy host memory to device cutilSafeCall( cudaMemcpy( d_idata, h_idata, mem_size, cudaMemcpyHostToDevice) ); // allocate device memory for result float* d_odata; cutilSafeCall( 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 cutilCheckMsg("Kernel execution failed"); // allocate mem for the result on host side float* h_odata = (float*) malloc( mem_size); // copy result from device to host cutilSafeCall( cudaMemcpy( h_odata, d_odata, sizeof( float) * num_threads, cudaMemcpyDeviceToHost) ); cutilCheckError( cutStopTimer( timer)); printf( "Processing time: %f (ms)\n", cutGetTimerValue( timer)); cutilCheckError( cutDeleteTimer( timer)); // compute reference solution float* reference = (float*) malloc( mem_size); computeGold( reference, h_idata, num_threads); // check result if( cutCheckCmdLineFlag( argc, (const char**) argv, "regression")) { // write file for regression test cutilCheckError( cutWriteFilef( "./data/regression.dat", h_odata, num_threads, 0.0)); } else { // custom output handling when no regression test running // in this case check if the result is equivalent to the expected soluion CUTBoolean res = cutComparef( reference, h_odata, num_threads); printf( "%s\n", (1 == res) ? "PASSED" : "FAILED"); } // cleanup memory free( h_idata); free( h_odata); free( reference); cutilSafeCall(cudaFree(d_idata)); cutilSafeCall(cudaFree(d_odata)); cudaThreadExit(); }