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https://github.com/NVIDIA/cuda-samples.git
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87 lines
3.2 KiB
C++
87 lines
3.2 KiB
C++
/* Copyright (c) 2022, NVIDIA CORPORATION. All rights reserved.
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*
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* Redistribution and use in source and binary forms, with or without
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* modification, are permitted provided that the following conditions
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* are met:
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* * Redistributions of source code must retain the above copyright
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* notice, this list of conditions and the following disclaimer.
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* * Redistributions in binary form must reproduce the above copyright
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* notice, this list of conditions and the following disclaimer in the
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* documentation and/or other materials provided with the distribution.
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* * Neither the name of NVIDIA CORPORATION nor the names of its
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* contributors may be used to endorse or promote products derived
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* from this software without specific prior written permission.
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*
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* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``AS IS'' AND ANY
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* EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
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* PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR
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* CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
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* EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
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* PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
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* PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY
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* OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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*/
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/*
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* Example of integrating CUDA functions into an existing
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* application / framework.
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* CPP code representing the existing application / framework.
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* Compiled with default CPP compiler.
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*/
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// includes, system
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#include <iostream>
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#include <stdlib.h>
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// Required to include CUDA vector types
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#include <cuda_runtime.h>
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#include <vector_types.h>
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#include <helper_cuda.h>
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////////////////////////////////////////////////////////////////////////////////
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// declaration, forward
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extern "C" bool runTest(const int argc, const char **argv, char *data,
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int2 *data_int2, unsigned int len);
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////////////////////////////////////////////////////////////////////////////////
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// Program main
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////////////////////////////////////////////////////////////////////////////////
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int main(int argc, char **argv) {
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// input data
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int len = 16;
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// the data has some zero padding at the end so that the size is a multiple of
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// four, this simplifies the processing as each thread can process four
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// elements (which is necessary to avoid bank conflicts) but no branching is
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// necessary to avoid out of bounds reads
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char str[] = {82, 111, 118, 118, 121, 42, 97, 121,
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124, 118, 110, 56, 10, 10, 10, 10};
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// Use int2 showing that CUDA vector types can be used in cpp code
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int2 i2[16];
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for (int i = 0; i < len; i++) {
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i2[i].x = str[i];
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i2[i].y = 10;
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}
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bool bTestResult;
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// run the device part of the program
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bTestResult = runTest(argc, (const char **)argv, str, i2, len);
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std::cout << str << std::endl;
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char str_device[16];
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for (int i = 0; i < len; i++) {
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str_device[i] = (char)(i2[i].x);
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}
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std::cout << str_device << std::endl;
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exit(bTestResult ? EXIT_SUCCESS : EXIT_FAILURE);
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}
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