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Fix #194 and add Large Kernel Parameters Sample
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| /* Copyright (c) 2022, 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 <cuda.h> | ||
| #include <nvJitLink.h> | ||
| #include <nvrtc.h> | ||
| #include <iostream> | ||
| #include <cstring> | ||
|
|
||
| #define NUM_THREADS 128 | ||
| #define NUM_BLOCKS 32 | ||
|
|
||
| #define NVRTC_SAFE_CALL(x) \ | ||
| do { \ | ||
| nvrtcResult result = x; \ | ||
| if (result != NVRTC_SUCCESS) { \ | ||
| std::cerr << "\nerror: " #x " failed with error " \ | ||
| << nvrtcGetErrorString(result) << '\n'; \ | ||
| exit(1); \ | ||
| } \ | ||
| } while(0) | ||
| #define CUDA_SAFE_CALL(x) \ | ||
| do { \ | ||
| CUresult result = x; \ | ||
| if (result != CUDA_SUCCESS) { \ | ||
| const char *msg; \ | ||
| cuGetErrorName(result, &msg); \ | ||
| std::cerr << "\nerror: " #x " failed with error " \ | ||
| << msg << '\n'; \ | ||
| exit(1); \ | ||
| } \ | ||
| } while(0) | ||
| #define NVJITLINK_SAFE_CALL(h,x) \ | ||
| do { \ | ||
| nvJitLinkResult result = x; \ | ||
| if (result != NVJITLINK_SUCCESS) { \ | ||
| std::cerr << "\nerror: " #x " failed with error " \ | ||
| << result << '\n'; \ | ||
| size_t lsize; \ | ||
| result = nvJitLinkGetErrorLogSize(h, &lsize); \ | ||
| if (result == NVJITLINK_SUCCESS && lsize > 0) { \ | ||
| char *log = (char*)malloc(lsize); \ | ||
| result = nvJitLinkGetErrorLog(h, log); \ | ||
| if (result == NVJITLINK_SUCCESS) { \ | ||
| std::cerr << "error log: " << log << '\n'; \ | ||
| free(log); \ | ||
| } \ | ||
| } \ | ||
| exit(1); \ | ||
| } \ | ||
| } while(0) | ||
|
|
||
| const char *lto_saxpy = " \n\ | ||
| extern __device__ float compute(float a, float x, float y); \n\ | ||
| \n\ | ||
| extern \"C\" __global__ \n\ | ||
| void saxpy(float a, float *x, float *y, float *out, size_t n) \n\ | ||
| { \n\ | ||
| size_t tid = blockIdx.x * blockDim.x + threadIdx.x; \n\ | ||
| if (tid < n) { \n\ | ||
| out[tid] = compute(a, x[tid], y[tid]); \n\ | ||
| } \n\ | ||
| } \n"; | ||
|
|
||
| const char *lto_compute = " \n\ | ||
| __device__ float compute(float a, float x, float y) { \n\ | ||
| return a * x + y; \n\ | ||
| } \n"; | ||
|
|
||
| // compile code into LTOIR, returning the IR and its size | ||
| static void getLTOIR (const char *code, const char *name, | ||
| char **ltoIR, size_t *ltoIRSize) | ||
| { | ||
| // Create an instance of nvrtcProgram with the code string. | ||
| nvrtcProgram prog; | ||
| NVRTC_SAFE_CALL( | ||
| nvrtcCreateProgram(&prog, // prog | ||
| code, // buffer | ||
| name, // name | ||
| 0, // numHeaders | ||
| NULL, // headers | ||
| NULL)); // includeNames | ||
|
|
||
| // specify that LTO IR should be generated for LTO operation | ||
| const char *opts[] = {"-dlto", | ||
| "--relocatable-device-code=true"}; | ||
| nvrtcResult compileResult = nvrtcCompileProgram(prog, // prog | ||
| 2, // numOptions | ||
| opts); // options | ||
| // Obtain compilation log from the program. | ||
| size_t logSize; | ||
| NVRTC_SAFE_CALL(nvrtcGetProgramLogSize(prog, &logSize)); | ||
| char *log = new char[logSize]; | ||
| NVRTC_SAFE_CALL(nvrtcGetProgramLog(prog, log)); | ||
| std::cout << log << '\n'; | ||
| delete[] log; | ||
| if (compileResult != NVRTC_SUCCESS) { | ||
| exit(1); | ||
| } | ||
| // Obtain generated LTO IR from the program. | ||
| NVRTC_SAFE_CALL(nvrtcGetLTOIRSize(prog, ltoIRSize)); | ||
| *ltoIR = new char[*ltoIRSize]; | ||
| NVRTC_SAFE_CALL(nvrtcGetLTOIR(prog, *ltoIR)); | ||
| // Destroy the program. | ||
| NVRTC_SAFE_CALL(nvrtcDestroyProgram(&prog)); | ||
| } | ||
|
|
||
| int main(int argc, char *argv[]) | ||
| { | ||
| char *ltoIR1; | ||
| char *ltoIR2; | ||
| size_t ltoIR1Size; | ||
| size_t ltoIR2Size; | ||
| // getLTOIR uses nvrtc to get the LTOIR. | ||
| // We could also use nvcc offline with -dlto -fatbin | ||
| // to generate the IR, but using nvrtc keeps the build simpler. | ||
| getLTOIR(lto_saxpy, "lto_saxpy.cu", <oIR1, <oIR1Size); | ||
| getLTOIR(lto_compute, "lto_compute.cu", <oIR2, <oIR2Size); | ||
|
|
||
| CUdevice cuDevice; | ||
| CUcontext context; | ||
| CUmodule module; | ||
| CUfunction kernel; | ||
| CUDA_SAFE_CALL(cuInit(0)); | ||
| CUDA_SAFE_CALL(cuDeviceGet(&cuDevice, 0)); | ||
| CUDA_SAFE_CALL(cuCtxCreate(&context, 0, cuDevice)); | ||
|
|
||
| // Dynamically determine the arch to link for | ||
| int major = 0; | ||
| int minor = 0; | ||
| CUDA_SAFE_CALL(cuDeviceGetAttribute(&major, | ||
| CU_DEVICE_ATTRIBUTE_COMPUTE_CAPABILITY_MAJOR, cuDevice)); | ||
| CUDA_SAFE_CALL(cuDeviceGetAttribute(&minor, | ||
| CU_DEVICE_ATTRIBUTE_COMPUTE_CAPABILITY_MINOR, cuDevice)); | ||
| int arch = major*10 + minor; | ||
| char smbuf[16]; | ||
| memset(smbuf,0,16); | ||
| sprintf(smbuf, "-arch=sm_%d", arch); | ||
|
|
||
| // Load the generated LTO IR and link them together | ||
| nvJitLinkHandle handle; | ||
| const char *lopts[] = {"-lto", smbuf}; | ||
| NVJITLINK_SAFE_CALL(handle, nvJitLinkCreate(&handle, 2, lopts)); | ||
|
|
||
| NVJITLINK_SAFE_CALL(handle, nvJitLinkAddData(handle, NVJITLINK_INPUT_LTOIR, | ||
| (void *)ltoIR1, ltoIR1Size, "lto_saxpy")); | ||
| NVJITLINK_SAFE_CALL(handle, nvJitLinkAddData(handle, NVJITLINK_INPUT_LTOIR, | ||
| (void *)ltoIR2, ltoIR2Size, "lto_compute")); | ||
|
|
||
| // The call to nvJitLinkComplete causes linker to link together the two | ||
| // LTO IR modules, do optimization on the linked LTO IR, | ||
| // and generate cubin from it. | ||
| NVJITLINK_SAFE_CALL(handle, nvJitLinkComplete(handle)); | ||
|
|
||
| // check error log | ||
| size_t logSize; | ||
| NVJITLINK_SAFE_CALL(handle, nvJitLinkGetErrorLogSize(handle, &logSize)); | ||
| if (logSize > 0) { | ||
| char *log = (char*)malloc(logSize+1); | ||
| NVJITLINK_SAFE_CALL(handle, nvJitLinkGetErrorLog(handle, log)); | ||
| std::cout << "Error log: " << log << std::endl; | ||
| free(log); | ||
| } | ||
|
|
||
| // get linked cubin | ||
| size_t cubinSize; | ||
| NVJITLINK_SAFE_CALL(handle, nvJitLinkGetLinkedCubinSize(handle, &cubinSize)); | ||
| void *cubin = malloc(cubinSize); | ||
| NVJITLINK_SAFE_CALL(handle, nvJitLinkGetLinkedCubin(handle, cubin)); | ||
|
|
||
| NVJITLINK_SAFE_CALL(handle, nvJitLinkDestroy(&handle)); | ||
| delete[] ltoIR1; | ||
| delete[] ltoIR2; | ||
|
|
||
| // cubin is linked, so now load it | ||
| CUDA_SAFE_CALL(cuModuleLoadData(&module, cubin)); | ||
| CUDA_SAFE_CALL(cuModuleGetFunction(&kernel, module, "saxpy")); | ||
|
|
||
| // Generate input for execution, and create output buffers. | ||
| size_t n = NUM_THREADS * NUM_BLOCKS; | ||
| size_t bufferSize = n * sizeof(float); | ||
| float a = 5.1f; | ||
| float *hX = new float[n], *hY = new float[n], *hOut = new float[n]; | ||
| for (size_t i = 0; i < n; ++i) { | ||
| hX[i] = static_cast<float>(i); | ||
| hY[i] = static_cast<float>(i * 2); | ||
| } | ||
| CUdeviceptr dX, dY, dOut; | ||
| CUDA_SAFE_CALL(cuMemAlloc(&dX, bufferSize)); | ||
| CUDA_SAFE_CALL(cuMemAlloc(&dY, bufferSize)); | ||
| CUDA_SAFE_CALL(cuMemAlloc(&dOut, bufferSize)); | ||
| CUDA_SAFE_CALL(cuMemcpyHtoD(dX, hX, bufferSize)); | ||
| CUDA_SAFE_CALL(cuMemcpyHtoD(dY, hY, bufferSize)); | ||
| // Execute SAXPY. | ||
| void *args[] = { &a, &dX, &dY, &dOut, &n }; | ||
| CUDA_SAFE_CALL( | ||
| cuLaunchKernel(kernel, | ||
| NUM_BLOCKS, 1, 1, // grid dim | ||
| NUM_THREADS, 1, 1, // block dim | ||
| 0, NULL, // shared mem and stream | ||
| args, 0)); // arguments | ||
| CUDA_SAFE_CALL(cuCtxSynchronize()); | ||
| // Retrieve and print output. | ||
| CUDA_SAFE_CALL(cuMemcpyDtoH(hOut, dOut, bufferSize)); | ||
|
|
||
| for (size_t i = 0; i < n; ++i) { | ||
| std::cout << a << " * " << hX[i] << " + " << hY[i] | ||
| << " = " << hOut[i] << '\n'; | ||
| } | ||
| // check last value to verify | ||
| if (hOut[n-1] == 29074.5) { | ||
| std::cout << "PASSED!\n"; | ||
| } else { | ||
| std::cout << "values not expected?\n"; | ||
| } | ||
| // Release resources. | ||
| CUDA_SAFE_CALL(cuMemFree(dX)); | ||
| CUDA_SAFE_CALL(cuMemFree(dY)); | ||
| CUDA_SAFE_CALL(cuMemFree(dOut)); | ||
| CUDA_SAFE_CALL(cuModuleUnload(module)); | ||
| CUDA_SAFE_CALL(cuCtxDestroy(context)); | ||
| free(cubin); | ||
| delete[] hX; | ||
| delete[] hY; | ||
| delete[] hOut; | ||
| return 0; | ||
| } |
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18 changes: 18 additions & 0 deletions
18
Samples/6_Performance/LargeKernelParameter/.vscode/c_cpp_properties.json
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,18 @@ | ||
| { | ||
| "configurations": [ | ||
| { | ||
| "name": "Linux", | ||
| "includePath": [ | ||
| "${workspaceFolder}/**", | ||
| "${workspaceFolder}/../../../Common" | ||
| ], | ||
| "defines": [], | ||
| "compilerPath": "/usr/local/cuda/bin/nvcc", | ||
| "cStandard": "gnu17", | ||
| "cppStandard": "gnu++14", | ||
| "intelliSenseMode": "linux-gcc-x64", | ||
| "configurationProvider": "ms-vscode.makefile-tools" | ||
| } | ||
| ], | ||
| "version": 4 | ||
| } |
7 changes: 7 additions & 0 deletions
7
Samples/6_Performance/LargeKernelParameter/.vscode/extensions.json
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,7 @@ | ||
| { | ||
| "recommendations": [ | ||
| "nvidia.nsight-vscode-edition", | ||
| "ms-vscode.cpptools", | ||
| "ms-vscode.makefile-tools" | ||
| ] | ||
| } |
10 changes: 10 additions & 0 deletions
10
Samples/6_Performance/LargeKernelParameter/.vscode/launch.json
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,10 @@ | ||
| { | ||
| "configurations": [ | ||
| { | ||
| "name": "CUDA C++: Launch", | ||
| "type": "cuda-gdb", | ||
| "request": "launch", | ||
| "program": "${workspaceFolder}/LargeKernelParameter" | ||
| } | ||
| ] | ||
| } |
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