mirror of
https://github.com/NVIDIA/cuda-samples.git
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238 lines
7.5 KiB
C
238 lines
7.5 KiB
C
// Copyright (c) 1993-2023, 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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#include <assert.h>
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#include <builtin_types.h>
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#include <cuda.h>
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#include <math.h>
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#include <nvvm.h>
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#include <stdio.h>
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#include <stdlib.h>
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#include <sys/stat.h>
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// If 'err' is non-zero, emit an error message and exit.
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#define checkCudaErrors(err) __checkCudaErrors(err, __FILE__, __LINE__)
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static void __checkCudaErrors(CUresult err, const char *filename, int line) {
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assert(filename);
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if (CUDA_SUCCESS != err) {
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const char *ename = NULL;
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const CUresult res = cuGetErrorName(err, &ename);
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fprintf(stderr,
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"CUDA API Error %04d: \"%s\" from file <%s>, "
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"line %i.\n",
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err, ((CUDA_SUCCESS == res) ? ename : "Unknown"), filename, line);
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exit(err);
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}
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}
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// Return a CUDA capable device or exit if one cannot be found.
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static CUdevice cudaDeviceInit(void) {
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CUresult err = cuInit(0);
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int deviceCount = 0;
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if (CUDA_SUCCESS == err)
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checkCudaErrors(cuDeviceGetCount(&deviceCount));
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if (deviceCount == 0) {
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fprintf(stderr, "cudaDeviceInit error: no devices supporting CUDA\n");
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exit(EXIT_FAILURE);
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}
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// Locate a CUDA supporting device and its name.
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CUdevice cuDevice = 0;
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checkCudaErrors(cuDeviceGet(&cuDevice, 0));
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char name[128];
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cuDeviceGetName(name, sizeof(name), cuDevice);
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printf("Using CUDA Device [0]: %s\n", name);
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// Obtain the device's compute capability.
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int major = 0;
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checkCudaErrors(cuDeviceGetAttribute(
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&major, CU_DEVICE_ATTRIBUTE_COMPUTE_CAPABILITY_MAJOR, cuDevice));
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if (major < 5) {
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fprintf(stderr, "Device 0 is not sm_50 or later\n");
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exit(EXIT_FAILURE);
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}
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return cuDevice;
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}
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static CUresult initCUDA(CUcontext *phContext, CUdevice *phDevice,
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CUmodule *phModule, CUfunction *phKernel,
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const char *ptx) {
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assert(phContext && phDevice && phModule && phKernel && ptx);
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// Initialize.
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*phDevice = cudaDeviceInit();
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// Create a CUDA context on the device.
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checkCudaErrors(cuCtxCreate(phContext, 0, *phDevice));
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// Load the PTX.
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checkCudaErrors(cuModuleLoadDataEx(phModule, ptx, 0, 0, 0));
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// Locate the kernel entry point.
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checkCudaErrors(cuModuleGetFunction(phKernel, *phModule, "simple"));
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return CUDA_SUCCESS;
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}
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static char *loadProgramSource(const char *filename, size_t *size) {
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assert(filename && size);
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char *source = NULL;
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*size = 0;
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FILE *fh = fopen(filename, "rb");
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if (fh) {
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struct stat statbuf;
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stat(filename, &statbuf);
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source = malloc(statbuf.st_size + 1);
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assert(source);
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fread(source, statbuf.st_size, 1, fh);
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source[statbuf.st_size] = 0;
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*size = statbuf.st_size + 1;
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} else {
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fprintf(stderr, "Error reading file %s\n", filename);
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exit(EXIT_FAILURE);
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}
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return source;
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}
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static char *generatePTX(const char *ir, size_t size, const char *filename) {
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assert(ir && filename);
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// Create a program instance for use with libNVVM.
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nvvmProgram program;
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nvvmResult result = nvvmCreateProgram(&program);
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if (result != NVVM_SUCCESS) {
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fprintf(stderr, "nvvmCreateProgram: Failed\n");
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exit(EXIT_FAILURE);
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}
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// Add the NVVM IR to the program instance.
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result = nvvmAddModuleToProgram(program, ir, size, filename);
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if (result != NVVM_SUCCESS) {
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fprintf(stderr, "nvvmAddModuleToProgram: Failed\n");
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exit(EXIT_FAILURE);
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}
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// Compile the NVVM IR into PTX.
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result = nvvmCompileProgram(program, 0, NULL);
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if (result != NVVM_SUCCESS) {
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fprintf(stderr, "nvvmCompileProgram: Failed\n");
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size_t logSize;
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nvvmGetProgramLogSize(program, &logSize);
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char *msg = malloc(logSize);
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assert(msg);
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nvvmGetProgramLog(program, msg);
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fprintf(stderr, "%s\n", msg);
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free(msg);
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exit(EXIT_FAILURE);
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}
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// Obrain the resulting PTX.
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size_t ptxSize;
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result = nvvmGetCompiledResultSize(program, &ptxSize);
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if (result != NVVM_SUCCESS) {
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fprintf(stderr, "nvvmGetCompiledResultSize: Failed\n");
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exit(EXIT_FAILURE);
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}
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char *ptx = malloc(ptxSize);
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assert(ptx);
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result = nvvmGetCompiledResult(program, ptx);
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if (result != NVVM_SUCCESS) {
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fprintf(stderr, "nvvmGetCompiledResult: Failed\n");
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free(ptx);
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exit(EXIT_FAILURE);
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}
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// Cleanup the libNVVM program instance.
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result = nvvmDestroyProgram(&program);
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if (result != NVVM_SUCCESS) {
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fprintf(stderr, "nvvmDestroyProgram: Failed\n");
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free(ptx);
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exit(EXIT_FAILURE);
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}
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return ptx;
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}
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int main(int argc, char **argv) {
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const unsigned int nThreads = 32;
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const unsigned int nBlocks = 1;
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const size_t memSize = nThreads * nBlocks * sizeof(int);
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const char *filename = "simple-gpu64.ll";
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// Retrieve the NVVM IR from filename and create the kernel parameters.
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size_t size = 0;
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char *ir = loadProgramSource(filename, &size);
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fprintf(stdout, "NVVM IR (.ll) file loaded\n");
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// Use libNVVM to generate PTX from the NVVM IR.
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char *ptx = generatePTX(ir, size, filename);
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fprintf(stdout, "PTX generated:\n");
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fprintf(stdout, "%s\n", ptx);
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// Initialize the device and get a handle to the kernel.
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CUcontext hContext = 0;
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CUdevice hDevice = 0;
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CUmodule hModule = 0;
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CUfunction hKernel = 0;
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checkCudaErrors(initCUDA(&hContext, &hDevice, &hModule, &hKernel, ptx));
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// Allocate memory on the host and device.
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int *hData = malloc(memSize);
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if (!hData) {
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fprintf(stderr, "Could not allocate host memory\n");
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exit(EXIT_FAILURE);
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}
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CUdeviceptr dData = 0;
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checkCudaErrors(cuMemAlloc(&dData, memSize));
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// Launch the kernel.
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void *params[] = {&dData};
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checkCudaErrors(cuLaunchKernel(hKernel, nBlocks, 1, 1, nThreads, 1, 1, 0,
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NULL, params, NULL));
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fprintf(stdout, "CUDA kernel launched\n");
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// Copy the result back to the host.
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checkCudaErrors(cuMemcpyDtoH(hData, dData, memSize));
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// Print the result.
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for (unsigned i = 0; i < nBlocks * nThreads; i++)
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fprintf(stdout, "%d ", hData[i]);
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fprintf(stdout, "\n");
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// Cleanup.
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if (dData)
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checkCudaErrors(cuMemFree(dData));
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if (hModule)
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checkCudaErrors(cuModuleUnload(hModule));
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if (hContext)
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checkCudaErrors(cuCtxDestroy(hContext));
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free(hData);
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free(ir);
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free(ptx);
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return 0;
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}
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