/* * 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. * */ /* Example of integrating CUDA functions into an existing * application / framework. * CPP code representing the existing application / framework. * Compiled with default CPP compiler. */ // includes, system #include #include // Required to include CUDA vector types #include #include #include //////////////////////////////////////////////////////////////////////////////// // declaration, forward extern "C" bool runTest(const int argc, const char **argv, char *data, int2 *data_int2, unsigned int len); //////////////////////////////////////////////////////////////////////////////// // Program main //////////////////////////////////////////////////////////////////////////////// int main(int argc, char **argv) { // input data int len = 16; // the data has some zero padding at the end so that the size is a multiple of // four, this simplifies the processing as each thread can process four // elements (which is necessary to avoid bank conflicts) but no branching is // necessary to avoid out of bounds reads char str[] = { 82, 111, 118, 118, 121, 42, 97, 121, 124, 118, 110, 56, 10, 10, 10, 10 }; // Use int2 showing that CUDA vector types can be used in cpp code int2 i2[16]; for (int i = 0; i < len; i++) { i2[i].x = str[i]; i2[i].y = 10; } bool bTestResult; // run the device part of the program bTestResult = runTest(argc, (const char **)argv, str, i2, len); std::cout << str << std::endl; char str_device[16]; for (int i = 0; i < len; i++) { str_device[i] = (char)(i2[i].x); } std::cout << str_device << std::endl; exit(bTestResult ? EXIT_SUCCESS : EXIT_FAILURE); }