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