mirror of
https://github.com/NVIDIA/cuda-samples.git
synced 2024-11-24 14:29:17 +08:00
Fix #194 and add Large Kernel Parameters Sample
This commit is contained in:
Rob Nertney
parent
e612904184
commit
8004ad59ab
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@ -7,6 +7,8 @@ Samples for CUDA Developers which demonstrates features in CUDA Toolkit. This ve
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This section describes the release notes for the CUDA Samples on GitHub only.
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### CUDA 12.1
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* Added JIT LTO Sample
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* Adding Large Kernel Sample
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### [older versions...](./CHANGELOG.md)
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@ -158,12 +158,6 @@ static void cudaImportNvSciImage(cudaExternalResInterop &cudaExtResObj,
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pairArrayOut[numAttrs++].key = NvSciBufImageAttrKey_Layout;
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pairArrayOut[numAttrs++].key = NvSciBufImageAttrKey_PlaneBitsPerPixel;
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pairArrayOut[numAttrs++].key = NvSciBufImageAttrKey_PlaneOffset;
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pairArrayOut[numAttrs++].key = NvSciBufImageAttrKey_PlanePitch;
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pairArrayOut[numAttrs++].key = NvSciBufImageAttrKey_PlaneAlignedHeight;
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uint32_t planePitchs[10];
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uint32_t planePixel[10];
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uint32_t planeAlignedHeight[10];
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checkNvSciErrors(NvSciBufAttrListGetAttrs(attrlist, pairArrayOut, numAttrs));
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@ -183,13 +177,6 @@ static void cudaImportNvSciImage(cudaExternalResInterop &cudaExtResObj,
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cudaExtResObj.planeCount * sizeof(int32_t));
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memcpy(cudaExtResObj.planeOffset, (uint64_t *)pairArrayOut[7].value,
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cudaExtResObj.planeCount * sizeof(uint64_t));
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memcpy(planePixel, (uint32_t *)pairArrayOut[6].value,
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cudaExtResObj.planeCount * sizeof(uint32_t));
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memcpy(planePitchs, (uint32_t *)pairArrayOut[8].value,
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cudaExtResObj.planeCount * sizeof(uint32_t));
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memcpy(planeAlignedHeight, (uint32_t *)pairArrayOut[9].value,
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cudaExtResObj.planeCount * sizeof(uint32_t));
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NvSciBufAttrValImageLayoutType layout =
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*(NvSciBufAttrValImageLayoutType *)pairArrayOut[5].value;
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@ -214,8 +201,8 @@ static void cudaImportNvSciImage(cudaExternalResInterop &cudaExtResObj,
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for (int i = 0; i < cudaExtResObj.planeCount; i++) {
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cudaExtent extent = {};
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memset(&extent, 0, sizeof(extent));
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extent.width = planePitchs[i] / (planePixel[i] / 8);
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extent.height = planeAlignedHeight[i];
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extent.width = cudaExtResObj.imageWidth[i];
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extent.height = cudaExtResObj.imageHeight[i];
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extent.depth = 0;
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cudaChannelFormatDesc desc;
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switch (channelCount) {
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@ -384,10 +384,10 @@ else
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@echo "Sample is ready - all dependencies have been met"
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endif
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jitlto.o:jitlto.cpp
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jitLto.o:jitLto.cpp
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$(EXEC) $(NVCC) $(INCLUDES) $(ALL_CCFLAGS) $(GENCODE_FLAGS) -o $@ -c $<
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jitLto: jitlto.o
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jitLto: jitLto.o
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$(EXEC) $(NVCC) $(ALL_LDFLAGS) $(GENCODE_FLAGS) -o $@ $+ $(LIBRARIES)
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$(EXEC) mkdir -p ../../../bin/$(TARGET_ARCH)/$(TARGET_OS)/$(BUILD_TYPE)
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$(EXEC) cp $@ ../../../bin/$(TARGET_ARCH)/$(TARGET_OS)/$(BUILD_TYPE)
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@ -398,7 +398,7 @@ run: build
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testrun: build
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clean:
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rm -f jitLto jitlto.o
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rm -f jitLto jitLto.o
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rm -rf ../../../bin/$(TARGET_ARCH)/$(TARGET_OS)/$(BUILD_TYPE)/jitLto
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clobber: clean
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251
Samples/4_CUDA_Libraries/jitLto/jitLto.cpp
Normal file
251
Samples/4_CUDA_Libraries/jitLto/jitLto.cpp
Normal file
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@ -0,0 +1,251 @@
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/* 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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#include <cuda.h>
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#include <nvJitLink.h>
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#include <nvrtc.h>
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#include <iostream>
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#include <cstring>
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#define NUM_THREADS 128
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#define NUM_BLOCKS 32
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#define NVRTC_SAFE_CALL(x) \
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do { \
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nvrtcResult result = x; \
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if (result != NVRTC_SUCCESS) { \
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std::cerr << "\nerror: " #x " failed with error " \
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<< nvrtcGetErrorString(result) << '\n'; \
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exit(1); \
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} \
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} while(0)
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#define CUDA_SAFE_CALL(x) \
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do { \
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CUresult result = x; \
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if (result != CUDA_SUCCESS) { \
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const char *msg; \
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cuGetErrorName(result, &msg); \
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std::cerr << "\nerror: " #x " failed with error " \
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<< msg << '\n'; \
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exit(1); \
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} \
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} while(0)
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#define NVJITLINK_SAFE_CALL(h,x) \
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do { \
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nvJitLinkResult result = x; \
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if (result != NVJITLINK_SUCCESS) { \
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std::cerr << "\nerror: " #x " failed with error " \
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<< result << '\n'; \
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size_t lsize; \
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result = nvJitLinkGetErrorLogSize(h, &lsize); \
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if (result == NVJITLINK_SUCCESS && lsize > 0) { \
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char *log = (char*)malloc(lsize); \
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result = nvJitLinkGetErrorLog(h, log); \
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if (result == NVJITLINK_SUCCESS) { \
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std::cerr << "error log: " << log << '\n'; \
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free(log); \
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} \
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} \
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exit(1); \
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} \
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} while(0)
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const char *lto_saxpy = " \n\
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extern __device__ float compute(float a, float x, float y); \n\
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\n\
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extern \"C\" __global__ \n\
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void saxpy(float a, float *x, float *y, float *out, size_t n) \n\
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{ \n\
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size_t tid = blockIdx.x * blockDim.x + threadIdx.x; \n\
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if (tid < n) { \n\
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out[tid] = compute(a, x[tid], y[tid]); \n\
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} \n\
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} \n";
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const char *lto_compute = " \n\
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__device__ float compute(float a, float x, float y) { \n\
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return a * x + y; \n\
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} \n";
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// compile code into LTOIR, returning the IR and its size
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static void getLTOIR (const char *code, const char *name,
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char **ltoIR, size_t *ltoIRSize)
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{
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// Create an instance of nvrtcProgram with the code string.
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nvrtcProgram prog;
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NVRTC_SAFE_CALL(
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nvrtcCreateProgram(&prog, // prog
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code, // buffer
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name, // name
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0, // numHeaders
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NULL, // headers
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NULL)); // includeNames
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// specify that LTO IR should be generated for LTO operation
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const char *opts[] = {"-dlto",
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"--relocatable-device-code=true"};
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nvrtcResult compileResult = nvrtcCompileProgram(prog, // prog
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2, // numOptions
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opts); // options
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// Obtain compilation log from the program.
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size_t logSize;
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NVRTC_SAFE_CALL(nvrtcGetProgramLogSize(prog, &logSize));
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char *log = new char[logSize];
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NVRTC_SAFE_CALL(nvrtcGetProgramLog(prog, log));
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std::cout << log << '\n';
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delete[] log;
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if (compileResult != NVRTC_SUCCESS) {
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exit(1);
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}
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// Obtain generated LTO IR from the program.
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NVRTC_SAFE_CALL(nvrtcGetLTOIRSize(prog, ltoIRSize));
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*ltoIR = new char[*ltoIRSize];
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NVRTC_SAFE_CALL(nvrtcGetLTOIR(prog, *ltoIR));
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// Destroy the program.
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NVRTC_SAFE_CALL(nvrtcDestroyProgram(&prog));
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}
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int main(int argc, char *argv[])
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{
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char *ltoIR1;
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char *ltoIR2;
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size_t ltoIR1Size;
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size_t ltoIR2Size;
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// getLTOIR uses nvrtc to get the LTOIR.
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// We could also use nvcc offline with -dlto -fatbin
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// to generate the IR, but using nvrtc keeps the build simpler.
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getLTOIR(lto_saxpy, "lto_saxpy.cu", <oIR1, <oIR1Size);
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getLTOIR(lto_compute, "lto_compute.cu", <oIR2, <oIR2Size);
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CUdevice cuDevice;
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CUcontext context;
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CUmodule module;
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CUfunction kernel;
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CUDA_SAFE_CALL(cuInit(0));
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CUDA_SAFE_CALL(cuDeviceGet(&cuDevice, 0));
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CUDA_SAFE_CALL(cuCtxCreate(&context, 0, cuDevice));
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// Dynamically determine the arch to link for
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int major = 0;
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int minor = 0;
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CUDA_SAFE_CALL(cuDeviceGetAttribute(&major,
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CU_DEVICE_ATTRIBUTE_COMPUTE_CAPABILITY_MAJOR, cuDevice));
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CUDA_SAFE_CALL(cuDeviceGetAttribute(&minor,
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CU_DEVICE_ATTRIBUTE_COMPUTE_CAPABILITY_MINOR, cuDevice));
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int arch = major*10 + minor;
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char smbuf[16];
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memset(smbuf,0,16);
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sprintf(smbuf, "-arch=sm_%d", arch);
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// Load the generated LTO IR and link them together
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nvJitLinkHandle handle;
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const char *lopts[] = {"-lto", smbuf};
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NVJITLINK_SAFE_CALL(handle, nvJitLinkCreate(&handle, 2, lopts));
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NVJITLINK_SAFE_CALL(handle, nvJitLinkAddData(handle, NVJITLINK_INPUT_LTOIR,
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(void *)ltoIR1, ltoIR1Size, "lto_saxpy"));
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NVJITLINK_SAFE_CALL(handle, nvJitLinkAddData(handle, NVJITLINK_INPUT_LTOIR,
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(void *)ltoIR2, ltoIR2Size, "lto_compute"));
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// The call to nvJitLinkComplete causes linker to link together the two
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// LTO IR modules, do optimization on the linked LTO IR,
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// and generate cubin from it.
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NVJITLINK_SAFE_CALL(handle, nvJitLinkComplete(handle));
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// check error log
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size_t logSize;
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NVJITLINK_SAFE_CALL(handle, nvJitLinkGetErrorLogSize(handle, &logSize));
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if (logSize > 0) {
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char *log = (char*)malloc(logSize+1);
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NVJITLINK_SAFE_CALL(handle, nvJitLinkGetErrorLog(handle, log));
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std::cout << "Error log: " << log << std::endl;
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free(log);
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}
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// get linked cubin
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size_t cubinSize;
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NVJITLINK_SAFE_CALL(handle, nvJitLinkGetLinkedCubinSize(handle, &cubinSize));
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void *cubin = malloc(cubinSize);
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NVJITLINK_SAFE_CALL(handle, nvJitLinkGetLinkedCubin(handle, cubin));
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NVJITLINK_SAFE_CALL(handle, nvJitLinkDestroy(&handle));
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delete[] ltoIR1;
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delete[] ltoIR2;
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// cubin is linked, so now load it
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CUDA_SAFE_CALL(cuModuleLoadData(&module, cubin));
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CUDA_SAFE_CALL(cuModuleGetFunction(&kernel, module, "saxpy"));
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// Generate input for execution, and create output buffers.
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size_t n = NUM_THREADS * NUM_BLOCKS;
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size_t bufferSize = n * sizeof(float);
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float a = 5.1f;
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float *hX = new float[n], *hY = new float[n], *hOut = new float[n];
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for (size_t i = 0; i < n; ++i) {
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hX[i] = static_cast<float>(i);
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hY[i] = static_cast<float>(i * 2);
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}
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CUdeviceptr dX, dY, dOut;
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CUDA_SAFE_CALL(cuMemAlloc(&dX, bufferSize));
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CUDA_SAFE_CALL(cuMemAlloc(&dY, bufferSize));
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CUDA_SAFE_CALL(cuMemAlloc(&dOut, bufferSize));
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CUDA_SAFE_CALL(cuMemcpyHtoD(dX, hX, bufferSize));
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CUDA_SAFE_CALL(cuMemcpyHtoD(dY, hY, bufferSize));
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// Execute SAXPY.
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void *args[] = { &a, &dX, &dY, &dOut, &n };
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CUDA_SAFE_CALL(
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cuLaunchKernel(kernel,
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NUM_BLOCKS, 1, 1, // grid dim
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NUM_THREADS, 1, 1, // block dim
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0, NULL, // shared mem and stream
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args, 0)); // arguments
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CUDA_SAFE_CALL(cuCtxSynchronize());
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// Retrieve and print output.
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CUDA_SAFE_CALL(cuMemcpyDtoH(hOut, dOut, bufferSize));
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for (size_t i = 0; i < n; ++i) {
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std::cout << a << " * " << hX[i] << " + " << hY[i]
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<< " = " << hOut[i] << '\n';
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}
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// check last value to verify
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if (hOut[n-1] == 29074.5) {
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std::cout << "PASSED!\n";
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} else {
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std::cout << "values not expected?\n";
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}
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// Release resources.
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CUDA_SAFE_CALL(cuMemFree(dX));
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CUDA_SAFE_CALL(cuMemFree(dY));
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CUDA_SAFE_CALL(cuMemFree(dOut));
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CUDA_SAFE_CALL(cuModuleUnload(module));
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CUDA_SAFE_CALL(cuCtxDestroy(context));
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free(cubin);
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delete[] hX;
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delete[] hY;
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delete[] hOut;
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return 0;
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}
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@ -102,7 +102,7 @@
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</CudaCompile>
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</ItemDefinitionGroup>
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<ItemGroup>
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<ClCompile Include="jitlto.cpp" />
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<ClCompile Include="jitLto.cpp" />
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</ItemGroup>
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<Import Project="$(VCTargetsPath)\Microsoft.Cpp.targets" />
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@ -98,7 +98,7 @@
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</CudaCompile>
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</ItemDefinitionGroup>
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<ItemGroup>
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<ClCompile Include="jitlto.cpp" />
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<ClCompile Include="jitLto.cpp" />
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</ItemGroup>
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<Import Project="$(VCTargetsPath)\Microsoft.Cpp.targets" />
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|
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@ -98,7 +98,7 @@
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</CudaCompile>
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</ItemDefinitionGroup>
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<ItemGroup>
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<ClCompile Include="jitlto.cpp" />
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<ClCompile Include="jitLto.cpp" />
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</ItemGroup>
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<Import Project="$(VCTargetsPath)\Microsoft.Cpp.targets" />
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|
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18
Samples/6_Performance/LargeKernelParameter/.vscode/c_cpp_properties.json
vendored
Normal file
18
Samples/6_Performance/LargeKernelParameter/.vscode/c_cpp_properties.json
vendored
Normal file
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@ -0,0 +1,18 @@
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{
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"configurations": [
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{
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"name": "Linux",
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"includePath": [
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"${workspaceFolder}/**",
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"${workspaceFolder}/../../../Common"
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],
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"defines": [],
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"compilerPath": "/usr/local/cuda/bin/nvcc",
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"cStandard": "gnu17",
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"cppStandard": "gnu++14",
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"intelliSenseMode": "linux-gcc-x64",
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"configurationProvider": "ms-vscode.makefile-tools"
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}
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||||
],
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"version": 4
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}
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7
Samples/6_Performance/LargeKernelParameter/.vscode/extensions.json
vendored
Normal file
7
Samples/6_Performance/LargeKernelParameter/.vscode/extensions.json
vendored
Normal file
|
|
@ -0,0 +1,7 @@
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|||
{
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||||
"recommendations": [
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||||
"nvidia.nsight-vscode-edition",
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||||
"ms-vscode.cpptools",
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||||
"ms-vscode.makefile-tools"
|
||||
]
|
||||
}
|
||||
10
Samples/6_Performance/LargeKernelParameter/.vscode/launch.json
vendored
Normal file
10
Samples/6_Performance/LargeKernelParameter/.vscode/launch.json
vendored
Normal file
|
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@ -0,0 +1,10 @@
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{
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||||
"configurations": [
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||||
{
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"name": "CUDA C++: Launch",
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"type": "cuda-gdb",
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"request": "launch",
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"program": "${workspaceFolder}/LargeKernelParameter"
|
||||
}
|
||||
]
|
||||
}
|
||||
15
Samples/6_Performance/LargeKernelParameter/.vscode/tasks.json
vendored
Normal file
15
Samples/6_Performance/LargeKernelParameter/.vscode/tasks.json
vendored
Normal file
|
|
@ -0,0 +1,15 @@
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|||
{
|
||||
"version": "2.0.0",
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"tasks": [
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||||
{
|
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"label": "sample",
|
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"type": "shell",
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"command": "make dbg=1",
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"problemMatcher": ["$nvcc"],
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"group": {
|
||||
"kind": "build",
|
||||
"isDefault": true
|
||||
}
|
||||
}
|
||||
]
|
||||
}
|
||||
|
|
@ -0,0 +1,173 @@
|
|||
/* Copyright (c) 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.
|
||||
*/
|
||||
|
||||
/*
|
||||
* This is a simple test showing performance and usability
|
||||
* improvements with large kernel parameters introduced in CUDA 12.1
|
||||
*/
|
||||
#include <chrono>
|
||||
#include <iostream>
|
||||
#include <cassert>
|
||||
|
||||
// Utility includes
|
||||
#include <helper_cuda.h>
|
||||
|
||||
using namespace std;
|
||||
using namespace std::chrono;
|
||||
|
||||
#define TEST_ITERATIONS (1000)
|
||||
#define TOTAL_PARAMS (8000) // ints
|
||||
#define KERNEL_PARAM_LIMIT (1024) // ints
|
||||
#define CONST_COPIED_PARAMS (TOTAL_PARAMS - KERNEL_PARAM_LIMIT)
|
||||
|
||||
__constant__ int excess_params[CONST_COPIED_PARAMS];
|
||||
|
||||
typedef struct {
|
||||
int param[KERNEL_PARAM_LIMIT];
|
||||
} param_t;
|
||||
|
||||
typedef struct {
|
||||
int param[TOTAL_PARAMS];
|
||||
} param_large_t;
|
||||
|
||||
// Kernel with 4KB kernel parameter limit
|
||||
__global__ void kernelDefault(__grid_constant__ const param_t p, int *result) {
|
||||
int tmp = 0;
|
||||
|
||||
// accumulate kernel parameters
|
||||
for (int i = 0; i < KERNEL_PARAM_LIMIT; ++i) {
|
||||
tmp += p.param[i];
|
||||
}
|
||||
|
||||
// accumulate excess values passed via const memory
|
||||
for (int i = 0; i < CONST_COPIED_PARAMS; ++i) {
|
||||
tmp += excess_params[i];
|
||||
}
|
||||
|
||||
*result = tmp;
|
||||
}
|
||||
|
||||
// Kernel with 32,764 byte kernel parameter limit
|
||||
__global__ void kernelLargeParam(__grid_constant__ const param_large_t p, int *result) {
|
||||
int tmp = 0;
|
||||
|
||||
// accumulate kernel parameters
|
||||
for (int i = 0; i < TOTAL_PARAMS; ++i) {
|
||||
tmp += p.param[i];
|
||||
}
|
||||
|
||||
*result = tmp;
|
||||
}
|
||||
|
||||
static void report_time(std::chrono::time_point<std::chrono::steady_clock> start,
|
||||
std::chrono::time_point<std::chrono::steady_clock> end,
|
||||
int iters) {
|
||||
auto usecs = duration_cast<duration<float,
|
||||
microseconds::period>>(end - start);
|
||||
cout << usecs.count() / iters << endl;
|
||||
}
|
||||
|
||||
int main() {
|
||||
int rc;
|
||||
cudaFree(0);
|
||||
|
||||
param_t p;
|
||||
param_large_t p_large;
|
||||
|
||||
// pageable host memory that holds excess constants passed via constant memory
|
||||
int *copied_params = (int *)malloc(CONST_COPIED_PARAMS * sizeof(int));
|
||||
assert(copied_params);
|
||||
|
||||
// storage for computed result
|
||||
int *d_result;
|
||||
int h_result;
|
||||
checkCudaErrors(cudaMalloc(&d_result, sizeof(int)));
|
||||
|
||||
int expected_result = 0;
|
||||
|
||||
// fill in data for validation
|
||||
for (int i = 0; i < KERNEL_PARAM_LIMIT; ++i) {
|
||||
p.param[i] = (i & 0xFF);
|
||||
}
|
||||
for (int i = KERNEL_PARAM_LIMIT; i < TOTAL_PARAMS; ++i) {
|
||||
copied_params[i - KERNEL_PARAM_LIMIT] = (i & 0xFF);
|
||||
}
|
||||
for (int i = 0; i < TOTAL_PARAMS; ++i) {
|
||||
p_large.param[i] = (i & 0xFF);
|
||||
expected_result += (i & 0xFF);
|
||||
}
|
||||
|
||||
// warmup, verify correctness
|
||||
checkCudaErrors(cudaMemcpyToSymbol(excess_params, copied_params, CONST_COPIED_PARAMS * sizeof(int), 0, cudaMemcpyHostToDevice));
|
||||
kernelDefault<<<1,1>>>(p, d_result);
|
||||
checkCudaErrors(cudaMemcpy(&h_result, d_result, sizeof(int), cudaMemcpyDeviceToHost));
|
||||
checkCudaErrors(cudaDeviceSynchronize());
|
||||
if(h_result != expected_result) {
|
||||
std::cout << "Test failed" << std::endl;
|
||||
rc=-1;
|
||||
goto Exit;
|
||||
}
|
||||
|
||||
kernelLargeParam<<<1,1>>>(p_large, d_result);
|
||||
checkCudaErrors(cudaMemcpy(&h_result, d_result, sizeof(int), cudaMemcpyDeviceToHost));
|
||||
checkCudaErrors(cudaDeviceSynchronize());
|
||||
if(h_result != expected_result) {
|
||||
std::cout << "Test failed" << std::endl;
|
||||
rc=-1;
|
||||
goto Exit;
|
||||
}
|
||||
|
||||
// benchmark default kernel parameter limit
|
||||
{
|
||||
auto start = steady_clock::now();
|
||||
for (int i = 0; i < TEST_ITERATIONS; ++i) {
|
||||
checkCudaErrors(cudaMemcpyToSymbol(excess_params, copied_params, CONST_COPIED_PARAMS * sizeof(int), 0, cudaMemcpyHostToDevice));
|
||||
kernelDefault<<<1, 1>>>(p, d_result);
|
||||
}
|
||||
checkCudaErrors(cudaDeviceSynchronize());
|
||||
auto end = steady_clock::now();
|
||||
std::cout << "Kernel 4KB parameter limit - time (us):";
|
||||
report_time(start, end, TEST_ITERATIONS);
|
||||
|
||||
// benchmark large kernel parameter limit
|
||||
start = steady_clock::now();
|
||||
for (int i = 0; i < TEST_ITERATIONS; ++i) {
|
||||
kernelLargeParam<<<1, 1>>>(p_large, d_result);
|
||||
}
|
||||
checkCudaErrors(cudaDeviceSynchronize());
|
||||
end = steady_clock::now();
|
||||
std::cout << "Kernel 32,764 byte parameter limit - time (us):";
|
||||
report_time(start, end, TEST_ITERATIONS);
|
||||
}
|
||||
std::cout << "Test passed!" << std::endl;
|
||||
rc=0;
|
||||
Exit:
|
||||
// cleanup
|
||||
cudaFree(d_result);
|
||||
free(copied_params);
|
||||
return rc;
|
||||
}
|
||||
|
|
@ -1,7 +1,7 @@
|
|||
|
||||
Microsoft Visual Studio Solution File, Format Version 12.00
|
||||
# Visual Studio 2017
|
||||
Project("{8BC9CEB8-8B4A-11D0-8D11-00A0C91BC942}") = "jitlto", "jitlto_vs2017.vcxproj", "{997E0757-EA74-4A4E-A0FC-47D8C8831A15}"
|
||||
Project("{8BC9CEB8-8B4A-11D0-8D11-00A0C91BC942}") = "LargeKernelParameter", "LargeKernelParameter_vs2017.vcxproj", "{997E0757-EA74-4A4E-A0FC-47D8C8831A15}"
|
||||
EndProject
|
||||
Global
|
||||
GlobalSection(SolutionConfigurationPlatforms) = preSolution
|
||||
|
|
@ -15,8 +15,8 @@
|
|||
</ItemGroup>
|
||||
<PropertyGroup Label="Globals">
|
||||
<ProjectGuid>{997E0757-EA74-4A4E-A0FC-47D8C8831A15}</ProjectGuid>
|
||||
<RootNamespace>jitlto_vs2017</RootNamespace>
|
||||
<ProjectName>jitlto</ProjectName>
|
||||
<RootNamespace>LargeKernelParameter_vs2017</RootNamespace>
|
||||
<ProjectName>LargeKernelParameter</ProjectName>
|
||||
<CudaToolkitCustomDir />
|
||||
</PropertyGroup>
|
||||
<PropertyGroup Condition="'$(WindowsTargetPlatformVersion)'==''">
|
||||
|
|
@ -38,7 +38,7 @@
|
|||
</PropertyGroup>
|
||||
<Import Project="$(VCTargetsPath)\Microsoft.Cpp.props" />
|
||||
<ImportGroup Label="ExtensionSettings">
|
||||
<Import Project="$(CUDAPropsPath)\CUDA 12.0.props" />
|
||||
<Import Project="$(CUDAPropsPath)\CUDA 12.1.props" />
|
||||
</ImportGroup>
|
||||
<ImportGroup Label="PropertySheets">
|
||||
<Import Condition="exists('$(UserRootDir)\Microsoft.Cpp.$(Platform).user.props')" Label="LocalAppDataPlatform" Project="$(UserRootDir)\Microsoft.Cpp.$(Platform).user.props" />
|
||||
|
|
@ -58,16 +58,16 @@
|
|||
<ClCompile>
|
||||
<WarningLevel>Level3</WarningLevel>
|
||||
<PreprocessorDefinitions>WIN32;_MBCS;%(PreprocessorDefinitions)</PreprocessorDefinitions>
|
||||
<AdditionalIncludeDirectories>./;$(CudaToolkitDir)/include;../../../Common;$(CudaToolkitIncludeDir);$(CUDA_PATH)/include;</AdditionalIncludeDirectories>
|
||||
<AdditionalIncludeDirectories>./;$(CudaToolkitDir)/include;../../../Common;</AdditionalIncludeDirectories>
|
||||
</ClCompile>
|
||||
<Link>
|
||||
<SubSystem>Console</SubSystem>
|
||||
<AdditionalDependencies>cuda.lib;nvrtc.lib;nvJitLink.lib;kernel32.lib;user32.lib;gdi32.lib;winspool.lib;comdlg32.lib;advapi32.lib;shell32.lib;ole32.lib;oleaut32.lib;uuid.lib;odbc32.lib;odbccp32.lib;%(AdditionalDependencies)</AdditionalDependencies>
|
||||
<AdditionalDependencies>cudart_static.lib;kernel32.lib;user32.lib;gdi32.lib;winspool.lib;comdlg32.lib;advapi32.lib;shell32.lib;ole32.lib;oleaut32.lib;uuid.lib;odbc32.lib;odbccp32.lib;%(AdditionalDependencies)</AdditionalDependencies>
|
||||
<AdditionalLibraryDirectories>$(CudaToolkitLibDir);</AdditionalLibraryDirectories>
|
||||
<OutputFile>$(OutDir)/jitlto.exe</OutputFile>
|
||||
<OutputFile>$(OutDir)/LargeKernelParameter.exe</OutputFile>
|
||||
</Link>
|
||||
<CudaCompile>
|
||||
<CodeGeneration></CodeGeneration>
|
||||
<CodeGeneration>compute_70,sm_70;compute_75,sm_75;compute_80,sm_80;compute_86,sm_86;compute_89,sm_89;compute_90,sm_90;</CodeGeneration>
|
||||
<AdditionalOptions>-Xcompiler "/wd 4819" --threads 0 </AdditionalOptions>
|
||||
<Include>./;../../../Common</Include>
|
||||
<Defines>WIN32</Defines>
|
||||
|
|
@ -102,11 +102,11 @@
|
|||
</CudaCompile>
|
||||
</ItemDefinitionGroup>
|
||||
<ItemGroup>
|
||||
<ClCompile Include="jitlto.cpp" />
|
||||
<CudaCompile Include="LargeKernelParameter.cu" />
|
||||
|
||||
</ItemGroup>
|
||||
<Import Project="$(VCTargetsPath)\Microsoft.Cpp.targets" />
|
||||
<ImportGroup Label="ExtensionTargets">
|
||||
<Import Project="$(CUDAPropsPath)\CUDA 12.0.targets" />
|
||||
<Import Project="$(CUDAPropsPath)\CUDA 12.1.targets" />
|
||||
</ImportGroup>
|
||||
</Project>
|
||||
|
|
@ -1,7 +1,7 @@
|
|||
|
||||
Microsoft Visual Studio Solution File, Format Version 12.00
|
||||
# Visual Studio 2019
|
||||
Project("{8BC9CEB8-8B4A-11D0-8D11-00A0C91BC942}") = "jitlto", "jitlto_vs2019.vcxproj", "{997E0757-EA74-4A4E-A0FC-47D8C8831A15}"
|
||||
Project("{8BC9CEB8-8B4A-11D0-8D11-00A0C91BC942}") = "LargeKernelParameter", "LargeKernelParameter_vs2019.vcxproj", "{997E0757-EA74-4A4E-A0FC-47D8C8831A15}"
|
||||
EndProject
|
||||
Global
|
||||
GlobalSection(SolutionConfigurationPlatforms) = preSolution
|
||||
|
|
@ -15,8 +15,8 @@
|
|||
</ItemGroup>
|
||||
<PropertyGroup Label="Globals">
|
||||
<ProjectGuid>{997E0757-EA74-4A4E-A0FC-47D8C8831A15}</ProjectGuid>
|
||||
<RootNamespace>jitlto_vs2019</RootNamespace>
|
||||
<ProjectName>jitlto</ProjectName>
|
||||
<RootNamespace>LargeKernelParameter_vs2019</RootNamespace>
|
||||
<ProjectName>LargeKernelParameter</ProjectName>
|
||||
<CudaToolkitCustomDir />
|
||||
</PropertyGroup>
|
||||
<Import Project="$(VCTargetsPath)\Microsoft.Cpp.Default.props" />
|
||||
|
|
@ -34,7 +34,7 @@
|
|||
</PropertyGroup>
|
||||
<Import Project="$(VCTargetsPath)\Microsoft.Cpp.props" />
|
||||
<ImportGroup Label="ExtensionSettings">
|
||||
<Import Project="$(CUDAPropsPath)\CUDA 12.0.props" />
|
||||
<Import Project="$(CUDAPropsPath)\CUDA 12.1.props" />
|
||||
</ImportGroup>
|
||||
<ImportGroup Label="PropertySheets">
|
||||
<Import Condition="exists('$(UserRootDir)\Microsoft.Cpp.$(Platform).user.props')" Label="LocalAppDataPlatform" Project="$(UserRootDir)\Microsoft.Cpp.$(Platform).user.props" />
|
||||
|
|
@ -54,16 +54,16 @@
|
|||
<ClCompile>
|
||||
<WarningLevel>Level3</WarningLevel>
|
||||
<PreprocessorDefinitions>WIN32;_MBCS;%(PreprocessorDefinitions)</PreprocessorDefinitions>
|
||||
<AdditionalIncludeDirectories>./;$(CudaToolkitDir)/include;../../../Common;$(CudaToolkitIncludeDir);$(CUDA_PATH)/include;</AdditionalIncludeDirectories>
|
||||
<AdditionalIncludeDirectories>./;$(CudaToolkitDir)/include;../../../Common;</AdditionalIncludeDirectories>
|
||||
</ClCompile>
|
||||
<Link>
|
||||
<SubSystem>Console</SubSystem>
|
||||
<AdditionalDependencies>cuda.lib;nvrtc.lib;nvJitLink.lib;kernel32.lib;user32.lib;gdi32.lib;winspool.lib;comdlg32.lib;advapi32.lib;shell32.lib;ole32.lib;oleaut32.lib;uuid.lib;odbc32.lib;odbccp32.lib;%(AdditionalDependencies)</AdditionalDependencies>
|
||||
<AdditionalDependencies>cudart_static.lib;kernel32.lib;user32.lib;gdi32.lib;winspool.lib;comdlg32.lib;advapi32.lib;shell32.lib;ole32.lib;oleaut32.lib;uuid.lib;odbc32.lib;odbccp32.lib;%(AdditionalDependencies)</AdditionalDependencies>
|
||||
<AdditionalLibraryDirectories>$(CudaToolkitLibDir);</AdditionalLibraryDirectories>
|
||||
<OutputFile>$(OutDir)/jitlto.exe</OutputFile>
|
||||
<OutputFile>$(OutDir)/LargeKernelParameter.exe</OutputFile>
|
||||
</Link>
|
||||
<CudaCompile>
|
||||
<CodeGeneration></CodeGeneration>
|
||||
<CodeGeneration>compute_70,sm_70;compute_75,sm_75;compute_80,sm_80;compute_86,sm_86;compute_89,sm_89;compute_90,sm_90;</CodeGeneration>
|
||||
<AdditionalOptions>-Xcompiler "/wd 4819" --threads 0 </AdditionalOptions>
|
||||
<Include>./;../../../Common</Include>
|
||||
<Defines>WIN32</Defines>
|
||||
|
|
@ -98,11 +98,11 @@
|
|||
</CudaCompile>
|
||||
</ItemDefinitionGroup>
|
||||
<ItemGroup>
|
||||
<ClCompile Include="jitlto.cpp" />
|
||||
<CudaCompile Include="LargeKernelParameter.cu" />
|
||||
|
||||
</ItemGroup>
|
||||
<Import Project="$(VCTargetsPath)\Microsoft.Cpp.targets" />
|
||||
<ImportGroup Label="ExtensionTargets">
|
||||
<Import Project="$(CUDAPropsPath)\CUDA 12.0.targets" />
|
||||
<Import Project="$(CUDAPropsPath)\CUDA 12.1.targets" />
|
||||
</ImportGroup>
|
||||
</Project>
|
||||
|
|
@ -1,7 +1,7 @@
|
|||
|
||||
Microsoft Visual Studio Solution File, Format Version 12.00
|
||||
# Visual Studio 2022
|
||||
Project("{8BC9CEB8-8B4A-11D0-8D11-00A0C91BC942}") = "jitlto", "jitlto_vs2022.vcxproj", "{997E0757-EA74-4A4E-A0FC-47D8C8831A15}"
|
||||
Project("{8BC9CEB8-8B4A-11D0-8D11-00A0C91BC942}") = "LargeKernelParameter", "LargeKernelParameter_vs2022.vcxproj", "{997E0757-EA74-4A4E-A0FC-47D8C8831A15}"
|
||||
EndProject
|
||||
Global
|
||||
GlobalSection(SolutionConfigurationPlatforms) = preSolution
|
||||
|
|
@ -15,8 +15,8 @@
|
|||
</ItemGroup>
|
||||
<PropertyGroup Label="Globals">
|
||||
<ProjectGuid>{997E0757-EA74-4A4E-A0FC-47D8C8831A15}</ProjectGuid>
|
||||
<RootNamespace>jitlto_vs2022</RootNamespace>
|
||||
<ProjectName>jitlto</ProjectName>
|
||||
<RootNamespace>LargeKernelParameter_vs2022</RootNamespace>
|
||||
<ProjectName>LargeKernelParameter</ProjectName>
|
||||
<CudaToolkitCustomDir />
|
||||
</PropertyGroup>
|
||||
<Import Project="$(VCTargetsPath)\Microsoft.Cpp.Default.props" />
|
||||
|
|
@ -34,7 +34,7 @@
|
|||
</PropertyGroup>
|
||||
<Import Project="$(VCTargetsPath)\Microsoft.Cpp.props" />
|
||||
<ImportGroup Label="ExtensionSettings">
|
||||
<Import Project="$(CUDAPropsPath)\CUDA 12.0.props" />
|
||||
<Import Project="$(CUDAPropsPath)\CUDA 12.1.props" />
|
||||
</ImportGroup>
|
||||
<ImportGroup Label="PropertySheets">
|
||||
<Import Condition="exists('$(UserRootDir)\Microsoft.Cpp.$(Platform).user.props')" Label="LocalAppDataPlatform" Project="$(UserRootDir)\Microsoft.Cpp.$(Platform).user.props" />
|
||||
|
|
@ -54,16 +54,16 @@
|
|||
<ClCompile>
|
||||
<WarningLevel>Level3</WarningLevel>
|
||||
<PreprocessorDefinitions>WIN32;_MBCS;%(PreprocessorDefinitions)</PreprocessorDefinitions>
|
||||
<AdditionalIncludeDirectories>./;$(CudaToolkitDir)/include;../../../Common;$(CudaToolkitIncludeDir);$(CUDA_PATH)/include;</AdditionalIncludeDirectories>
|
||||
<AdditionalIncludeDirectories>./;$(CudaToolkitDir)/include;../../../Common;</AdditionalIncludeDirectories>
|
||||
</ClCompile>
|
||||
<Link>
|
||||
<SubSystem>Console</SubSystem>
|
||||
<AdditionalDependencies>cuda.lib;nvrtc.lib;nvJitLink.lib;kernel32.lib;user32.lib;gdi32.lib;winspool.lib;comdlg32.lib;advapi32.lib;shell32.lib;ole32.lib;oleaut32.lib;uuid.lib;odbc32.lib;odbccp32.lib;%(AdditionalDependencies)</AdditionalDependencies>
|
||||
<AdditionalDependencies>cudart_static.lib;kernel32.lib;user32.lib;gdi32.lib;winspool.lib;comdlg32.lib;advapi32.lib;shell32.lib;ole32.lib;oleaut32.lib;uuid.lib;odbc32.lib;odbccp32.lib;%(AdditionalDependencies)</AdditionalDependencies>
|
||||
<AdditionalLibraryDirectories>$(CudaToolkitLibDir);</AdditionalLibraryDirectories>
|
||||
<OutputFile>$(OutDir)/jitlto.exe</OutputFile>
|
||||
<OutputFile>$(OutDir)/LargeKernelParameter.exe</OutputFile>
|
||||
</Link>
|
||||
<CudaCompile>
|
||||
<CodeGeneration></CodeGeneration>
|
||||
<CodeGeneration>compute_70,sm_70;compute_75,sm_75;compute_80,sm_80;compute_86,sm_86;compute_89,sm_89;compute_90,sm_90;</CodeGeneration>
|
||||
<AdditionalOptions>-Xcompiler "/wd 4819" --threads 0 </AdditionalOptions>
|
||||
<Include>./;../../../Common</Include>
|
||||
<Defines>WIN32</Defines>
|
||||
|
|
@ -98,11 +98,11 @@
|
|||
</CudaCompile>
|
||||
</ItemDefinitionGroup>
|
||||
<ItemGroup>
|
||||
<ClCompile Include="jitlto.cpp" />
|
||||
<CudaCompile Include="LargeKernelParameter.cu" />
|
||||
|
||||
</ItemGroup>
|
||||
<Import Project="$(VCTargetsPath)\Microsoft.Cpp.targets" />
|
||||
<ImportGroup Label="ExtensionTargets">
|
||||
<Import Project="$(CUDAPropsPath)\CUDA 12.0.targets" />
|
||||
<Import Project="$(CUDAPropsPath)\CUDA 12.1.targets" />
|
||||
</ImportGroup>
|
||||
</Project>
|
||||
340
Samples/6_Performance/LargeKernelParameter/Makefile
Normal file
340
Samples/6_Performance/LargeKernelParameter/Makefile
Normal file
|
|
@ -0,0 +1,340 @@
|
|||
################################################################################
|
||||
# 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.
|
||||
#
|
||||
################################################################################
|
||||
#
|
||||
# Makefile project only supported on Mac OS X and Linux Platforms)
|
||||
#
|
||||
################################################################################
|
||||
|
||||
# Location of the CUDA Toolkit
|
||||
CUDA_PATH ?= /usr/local/cuda
|
||||
|
||||
##############################
|
||||
# start deprecated interface #
|
||||
##############################
|
||||
ifeq ($(x86_64),1)
|
||||
$(info WARNING - x86_64 variable has been deprecated)
|
||||
$(info WARNING - please use TARGET_ARCH=x86_64 instead)
|
||||
TARGET_ARCH ?= x86_64
|
||||
endif
|
||||
ifeq ($(ARMv7),1)
|
||||
$(info WARNING - ARMv7 variable has been deprecated)
|
||||
$(info WARNING - please use TARGET_ARCH=armv7l instead)
|
||||
TARGET_ARCH ?= armv7l
|
||||
endif
|
||||
ifeq ($(aarch64),1)
|
||||
$(info WARNING - aarch64 variable has been deprecated)
|
||||
$(info WARNING - please use TARGET_ARCH=aarch64 instead)
|
||||
TARGET_ARCH ?= aarch64
|
||||
endif
|
||||
ifeq ($(ppc64le),1)
|
||||
$(info WARNING - ppc64le variable has been deprecated)
|
||||
$(info WARNING - please use TARGET_ARCH=ppc64le instead)
|
||||
TARGET_ARCH ?= ppc64le
|
||||
endif
|
||||
ifneq ($(GCC),)
|
||||
$(info WARNING - GCC variable has been deprecated)
|
||||
$(info WARNING - please use HOST_COMPILER=$(GCC) instead)
|
||||
HOST_COMPILER ?= $(GCC)
|
||||
endif
|
||||
ifneq ($(abi),)
|
||||
$(error ERROR - abi variable has been removed)
|
||||
endif
|
||||
############################
|
||||
# end deprecated interface #
|
||||
############################
|
||||
|
||||
# architecture
|
||||
HOST_ARCH := $(shell uname -m)
|
||||
TARGET_ARCH ?= $(HOST_ARCH)
|
||||
ifneq (,$(filter $(TARGET_ARCH),x86_64 aarch64 sbsa ppc64le armv7l))
|
||||
ifneq ($(TARGET_ARCH),$(HOST_ARCH))
|
||||
ifneq (,$(filter $(TARGET_ARCH),x86_64 aarch64 sbsa ppc64le))
|
||||
TARGET_SIZE := 64
|
||||
else ifneq (,$(filter $(TARGET_ARCH),armv7l))
|
||||
TARGET_SIZE := 32
|
||||
endif
|
||||
else
|
||||
TARGET_SIZE := $(shell getconf LONG_BIT)
|
||||
endif
|
||||
else
|
||||
$(error ERROR - unsupported value $(TARGET_ARCH) for TARGET_ARCH!)
|
||||
endif
|
||||
|
||||
# sbsa and aarch64 systems look similar. Need to differentiate them at host level for now.
|
||||
ifeq ($(HOST_ARCH),aarch64)
|
||||
ifeq ($(CUDA_PATH)/targets/sbsa-linux,$(shell ls -1d $(CUDA_PATH)/targets/sbsa-linux 2>/dev/null))
|
||||
HOST_ARCH := sbsa
|
||||
TARGET_ARCH := sbsa
|
||||
endif
|
||||
endif
|
||||
|
||||
ifneq ($(TARGET_ARCH),$(HOST_ARCH))
|
||||
ifeq (,$(filter $(HOST_ARCH)-$(TARGET_ARCH),aarch64-armv7l x86_64-armv7l x86_64-aarch64 x86_64-sbsa x86_64-ppc64le))
|
||||
$(error ERROR - cross compiling from $(HOST_ARCH) to $(TARGET_ARCH) is not supported!)
|
||||
endif
|
||||
endif
|
||||
|
||||
# When on native aarch64 system with userspace of 32-bit, change TARGET_ARCH to armv7l
|
||||
ifeq ($(HOST_ARCH)-$(TARGET_ARCH)-$(TARGET_SIZE),aarch64-aarch64-32)
|
||||
TARGET_ARCH = armv7l
|
||||
endif
|
||||
|
||||
# operating system
|
||||
HOST_OS := $(shell uname -s 2>/dev/null | tr "[:upper:]" "[:lower:]")
|
||||
TARGET_OS ?= $(HOST_OS)
|
||||
ifeq (,$(filter $(TARGET_OS),linux darwin qnx android))
|
||||
$(error ERROR - unsupported value $(TARGET_OS) for TARGET_OS!)
|
||||
endif
|
||||
|
||||
# host compiler
|
||||
ifeq ($(TARGET_OS),darwin)
|
||||
ifeq ($(shell expr `xcodebuild -version | grep -i xcode | awk '{print $$2}' | cut -d'.' -f1` \>= 5),1)
|
||||
HOST_COMPILER ?= clang++
|
||||
endif
|
||||
else ifneq ($(TARGET_ARCH),$(HOST_ARCH))
|
||||
ifeq ($(HOST_ARCH)-$(TARGET_ARCH),x86_64-armv7l)
|
||||
ifeq ($(TARGET_OS),linux)
|
||||
HOST_COMPILER ?= arm-linux-gnueabihf-g++
|
||||
else ifeq ($(TARGET_OS),qnx)
|
||||
ifeq ($(QNX_HOST),)
|
||||
$(error ERROR - QNX_HOST must be passed to the QNX host toolchain)
|
||||
endif
|
||||
ifeq ($(QNX_TARGET),)
|
||||
$(error ERROR - QNX_TARGET must be passed to the QNX target toolchain)
|
||||
endif
|
||||
export QNX_HOST
|
||||
export QNX_TARGET
|
||||
HOST_COMPILER ?= $(QNX_HOST)/usr/bin/arm-unknown-nto-qnx6.6.0eabi-g++
|
||||
else ifeq ($(TARGET_OS),android)
|
||||
HOST_COMPILER ?= arm-linux-androideabi-g++
|
||||
endif
|
||||
else ifeq ($(TARGET_ARCH),aarch64)
|
||||
ifeq ($(TARGET_OS), linux)
|
||||
HOST_COMPILER ?= aarch64-linux-gnu-g++
|
||||
else ifeq ($(TARGET_OS),qnx)
|
||||
ifeq ($(QNX_HOST),)
|
||||
$(error ERROR - QNX_HOST must be passed to the QNX host toolchain)
|
||||
endif
|
||||
ifeq ($(QNX_TARGET),)
|
||||
$(error ERROR - QNX_TARGET must be passed to the QNX target toolchain)
|
||||
endif
|
||||
export QNX_HOST
|
||||
export QNX_TARGET
|
||||
HOST_COMPILER ?= $(QNX_HOST)/usr/bin/q++
|
||||
else ifeq ($(TARGET_OS), android)
|
||||
HOST_COMPILER ?= aarch64-linux-android-clang++
|
||||
endif
|
||||
else ifeq ($(TARGET_ARCH),sbsa)
|
||||
HOST_COMPILER ?= aarch64-linux-gnu-g++
|
||||
else ifeq ($(TARGET_ARCH),ppc64le)
|
||||
HOST_COMPILER ?= powerpc64le-linux-gnu-g++
|
||||
endif
|
||||
endif
|
||||
HOST_COMPILER ?= g++
|
||||
NVCC := $(CUDA_PATH)/bin/nvcc -ccbin $(HOST_COMPILER)
|
||||
|
||||
# internal flags
|
||||
NVCCFLAGS := -m${TARGET_SIZE}
|
||||
CCFLAGS :=
|
||||
LDFLAGS :=
|
||||
|
||||
# build flags
|
||||
ifeq ($(TARGET_OS),darwin)
|
||||
LDFLAGS += -rpath $(CUDA_PATH)/lib
|
||||
CCFLAGS += -arch $(HOST_ARCH)
|
||||
else ifeq ($(HOST_ARCH)-$(TARGET_ARCH)-$(TARGET_OS),x86_64-armv7l-linux)
|
||||
LDFLAGS += --dynamic-linker=/lib/ld-linux-armhf.so.3
|
||||
CCFLAGS += -mfloat-abi=hard
|
||||
else ifeq ($(TARGET_OS),android)
|
||||
LDFLAGS += -pie
|
||||
CCFLAGS += -fpie -fpic -fexceptions
|
||||
endif
|
||||
|
||||
ifneq ($(TARGET_ARCH),$(HOST_ARCH))
|
||||
ifeq ($(TARGET_ARCH)-$(TARGET_OS),armv7l-linux)
|
||||
ifneq ($(TARGET_FS),)
|
||||
GCCVERSIONLTEQ46 := $(shell expr `$(HOST_COMPILER) -dumpversion` \<= 4.6)
|
||||
ifeq ($(GCCVERSIONLTEQ46),1)
|
||||
CCFLAGS += --sysroot=$(TARGET_FS)
|
||||
endif
|
||||
LDFLAGS += --sysroot=$(TARGET_FS)
|
||||
LDFLAGS += -rpath-link=$(TARGET_FS)/lib
|
||||
LDFLAGS += -rpath-link=$(TARGET_FS)/usr/lib
|
||||
LDFLAGS += -rpath-link=$(TARGET_FS)/usr/lib/arm-linux-gnueabihf
|
||||
endif
|
||||
endif
|
||||
ifeq ($(TARGET_ARCH)-$(TARGET_OS),aarch64-linux)
|
||||
ifneq ($(TARGET_FS),)
|
||||
GCCVERSIONLTEQ46 := $(shell expr `$(HOST_COMPILER) -dumpversion` \<= 4.6)
|
||||
ifeq ($(GCCVERSIONLTEQ46),1)
|
||||
CCFLAGS += --sysroot=$(TARGET_FS)
|
||||
endif
|
||||
LDFLAGS += --sysroot=$(TARGET_FS)
|
||||
LDFLAGS += -rpath-link=$(TARGET_FS)/lib -L$(TARGET_FS)/lib
|
||||
LDFLAGS += -rpath-link=$(TARGET_FS)/lib/aarch64-linux-gnu -L$(TARGET_FS)/lib/aarch64-linux-gnu
|
||||
LDFLAGS += -rpath-link=$(TARGET_FS)/usr/lib -L$(TARGET_FS)/usr/lib
|
||||
LDFLAGS += -rpath-link=$(TARGET_FS)/usr/lib/aarch64-linux-gnu -L$(TARGET_FS)/usr/lib/aarch64-linux-gnu
|
||||
LDFLAGS += --unresolved-symbols=ignore-in-shared-libs
|
||||
CCFLAGS += -isystem=$(TARGET_FS)/usr/include -I$(TARGET_FS)/usr/include -I$(TARGET_FS)/usr/include/libdrm
|
||||
CCFLAGS += -isystem=$(TARGET_FS)/usr/include/aarch64-linux-gnu -I$(TARGET_FS)/usr/include/aarch64-linux-gnu
|
||||
endif
|
||||
endif
|
||||
ifeq ($(TARGET_ARCH)-$(TARGET_OS),aarch64-qnx)
|
||||
NVCCFLAGS += -D_QNX_SOURCE
|
||||
NVCCFLAGS += --qpp-config 8.3.0,gcc_ntoaarch64le
|
||||
CCFLAGS += -DWIN_INTERFACE_CUSTOM -I/usr/include/aarch64-qnx-gnu
|
||||
LDFLAGS += -lsocket
|
||||
LDFLAGS += -L/usr/lib/aarch64-qnx-gnu
|
||||
CCFLAGS += "-Wl\,-rpath-link\,/usr/lib/aarch64-qnx-gnu"
|
||||
ifdef TARGET_OVERRIDE
|
||||
LDFLAGS += -lslog2
|
||||
endif
|
||||
|
||||
ifneq ($(TARGET_FS),)
|
||||
LDFLAGS += -L$(TARGET_FS)/usr/lib
|
||||
CCFLAGS += "-Wl\,-rpath-link\,$(TARGET_FS)/usr/lib"
|
||||
LDFLAGS += -L$(TARGET_FS)/usr/libnvidia
|
||||
CCFLAGS += "-Wl\,-rpath-link\,$(TARGET_FS)/usr/libnvidia"
|
||||
CCFLAGS += -I$(TARGET_FS)/../include
|
||||
endif
|
||||
endif
|
||||
endif
|
||||
|
||||
ifdef TARGET_OVERRIDE # cuda toolkit targets override
|
||||
NVCCFLAGS += -target-dir $(TARGET_OVERRIDE)
|
||||
endif
|
||||
|
||||
# Install directory of different arch
|
||||
CUDA_INSTALL_TARGET_DIR :=
|
||||
ifeq ($(TARGET_ARCH)-$(TARGET_OS),armv7l-linux)
|
||||
CUDA_INSTALL_TARGET_DIR = targets/armv7-linux-gnueabihf/
|
||||
else ifeq ($(TARGET_ARCH)-$(TARGET_OS),aarch64-linux)
|
||||
CUDA_INSTALL_TARGET_DIR = targets/aarch64-linux/
|
||||
else ifeq ($(TARGET_ARCH)-$(TARGET_OS),sbsa-linux)
|
||||
CUDA_INSTALL_TARGET_DIR = targets/sbsa-linux/
|
||||
else ifeq ($(TARGET_ARCH)-$(TARGET_OS),armv7l-android)
|
||||
CUDA_INSTALL_TARGET_DIR = targets/armv7-linux-androideabi/
|
||||
else ifeq ($(TARGET_ARCH)-$(TARGET_OS),aarch64-android)
|
||||
CUDA_INSTALL_TARGET_DIR = targets/aarch64-linux-androideabi/
|
||||
else ifeq ($(TARGET_ARCH)-$(TARGET_OS),armv7l-qnx)
|
||||
CUDA_INSTALL_TARGET_DIR = targets/ARMv7-linux-QNX/
|
||||
else ifeq ($(TARGET_ARCH)-$(TARGET_OS),aarch64-qnx)
|
||||
CUDA_INSTALL_TARGET_DIR = targets/aarch64-qnx/
|
||||
else ifeq ($(TARGET_ARCH),ppc64le)
|
||||
CUDA_INSTALL_TARGET_DIR = targets/ppc64le-linux/
|
||||
endif
|
||||
|
||||
# Debug build flags
|
||||
ifeq ($(dbg),1)
|
||||
NVCCFLAGS += -g -G
|
||||
BUILD_TYPE := debug
|
||||
else
|
||||
BUILD_TYPE := release
|
||||
endif
|
||||
|
||||
ALL_CCFLAGS :=
|
||||
ALL_CCFLAGS += $(NVCCFLAGS)
|
||||
ALL_CCFLAGS += $(EXTRA_NVCCFLAGS)
|
||||
ALL_CCFLAGS += $(addprefix -Xcompiler ,$(CCFLAGS))
|
||||
ALL_CCFLAGS += $(addprefix -Xcompiler ,$(EXTRA_CCFLAGS))
|
||||
|
||||
SAMPLE_ENABLED := 1
|
||||
|
||||
ALL_LDFLAGS :=
|
||||
ALL_LDFLAGS += $(ALL_CCFLAGS)
|
||||
ALL_LDFLAGS += $(addprefix -Xlinker ,$(LDFLAGS))
|
||||
ALL_LDFLAGS += $(addprefix -Xlinker ,$(EXTRA_LDFLAGS))
|
||||
|
||||
# Common includes and paths for CUDA
|
||||
INCLUDES := -I../../../Common
|
||||
LIBRARIES :=
|
||||
|
||||
################################################################################
|
||||
|
||||
# Gencode arguments
|
||||
ifeq ($(TARGET_ARCH),$(filter $(TARGET_ARCH),armv7l aarch64 sbsa))
|
||||
SMS ?= 70 72 75 80 86 87 90
|
||||
else
|
||||
SMS ?= 70 75 80 86 89 90
|
||||
endif
|
||||
|
||||
ifeq ($(SMS),)
|
||||
$(info >>> WARNING - no SM architectures have been specified - waiving sample <<<)
|
||||
SAMPLE_ENABLED := 0
|
||||
endif
|
||||
|
||||
ifeq ($(GENCODE_FLAGS),)
|
||||
# Generate SASS code for each SM architecture listed in $(SMS)
|
||||
$(foreach sm,$(SMS),$(eval GENCODE_FLAGS += -gencode arch=compute_$(sm),code=sm_$(sm)))
|
||||
|
||||
# Generate PTX code from the highest SM architecture in $(SMS) to guarantee forward-compatibility
|
||||
HIGHEST_SM := $(lastword $(sort $(SMS)))
|
||||
ifneq ($(HIGHEST_SM),)
|
||||
GENCODE_FLAGS += -gencode arch=compute_$(HIGHEST_SM),code=compute_$(HIGHEST_SM)
|
||||
endif
|
||||
endif
|
||||
|
||||
ALL_CCFLAGS += --std=c++11 --threads 0
|
||||
|
||||
ifeq ($(SAMPLE_ENABLED),0)
|
||||
EXEC ?= @echo "[@]"
|
||||
endif
|
||||
|
||||
################################################################################
|
||||
|
||||
# Target rules
|
||||
all: build
|
||||
|
||||
build: LargeKernelParameter
|
||||
|
||||
check.deps:
|
||||
ifeq ($(SAMPLE_ENABLED),0)
|
||||
@echo "Sample will be waived due to the above missing dependencies"
|
||||
else
|
||||
@echo "Sample is ready - all dependencies have been met"
|
||||
endif
|
||||
|
||||
LargeKernelParameter.o:LargeKernelParameter.cu
|
||||
$(EXEC) $(NVCC) $(INCLUDES) $(ALL_CCFLAGS) $(GENCODE_FLAGS) -o $@ -c $<
|
||||
|
||||
LargeKernelParameter: LargeKernelParameter.o
|
||||
$(EXEC) $(NVCC) $(ALL_LDFLAGS) $(GENCODE_FLAGS) -o $@ $+ $(LIBRARIES)
|
||||
$(EXEC) mkdir -p ../../../bin/$(TARGET_ARCH)/$(TARGET_OS)/$(BUILD_TYPE)
|
||||
$(EXEC) cp $@ ../../../bin/$(TARGET_ARCH)/$(TARGET_OS)/$(BUILD_TYPE)
|
||||
|
||||
run: build
|
||||
$(EXEC) ./LargeKernelParameter
|
||||
|
||||
testrun: build
|
||||
|
||||
clean:
|
||||
rm -f LargeKernelParameter LargeKernelParameter.o
|
||||
rm -rf ../../../bin/$(TARGET_ARCH)/$(TARGET_OS)/$(BUILD_TYPE)/LargeKernelParameter
|
||||
|
||||
clobber: clean
|
||||
70
Samples/6_Performance/LargeKernelParameter/README.md
Normal file
70
Samples/6_Performance/LargeKernelParameter/README.md
Normal file
|
|
@ -0,0 +1,70 @@
|
|||
# LargeKernelParameter - Large Kernel Parameters
|
||||
|
||||
## Description
|
||||
|
||||
Simple test that demonstrates performance and usability improvements with large kernel parameters introduced in CUDA 12.1
|
||||
|
||||
## Key Concepts
|
||||
|
||||
Performance Strategies
|
||||
|
||||
## Supported SM Architectures
|
||||
|
||||
[SM 7.0 ](https://developer.nvidia.com/cuda-gpus) [SM 7.2 ](https://developer.nvidia.com/cuda-gpus) [SM 7.5 ](https://developer.nvidia.com/cuda-gpus) [SM 8.0 ](https://developer.nvidia.com/cuda-gpus) [SM 8.6 ](https://developer.nvidia.com/cuda-gpus) [SM 8.7 ](https://developer.nvidia.com/cuda-gpus) [SM 8.9 ](https://developer.nvidia.com/cuda-gpus) [SM 9.0 ](https://developer.nvidia.com/cuda-gpus)
|
||||
|
||||
## Supported OSes
|
||||
|
||||
Linux, Windows
|
||||
|
||||
## Supported CPU Architecture
|
||||
|
||||
x86_64, ppc64le, armv7l
|
||||
|
||||
## CUDA APIs involved
|
||||
|
||||
### [CUDA Runtime API](http://docs.nvidia.com/cuda/cuda-runtime-api/index.html)
|
||||
cudaMemcpyToSymbol, cudaMemcpy, cudaFree, cudaDeviceSynchronize, cudaMalloc
|
||||
|
||||
## Prerequisites
|
||||
|
||||
Download and install the [CUDA Toolkit 12.1](https://developer.nvidia.com/cuda-downloads) for your corresponding platform.
|
||||
|
||||
## Build and Run
|
||||
|
||||
### Windows
|
||||
The Windows samples are built using the Visual Studio IDE. Solution files (.sln) are provided for each supported version of Visual Studio, using the format:
|
||||
```
|
||||
*_vs<version>.sln - for Visual Studio <version>
|
||||
```
|
||||
Each individual sample has its own set of solution files in its directory:
|
||||
|
||||
To build/examine all the samples at once, the complete solution files should be used. To build/examine a single sample, the individual sample solution files should be used.
|
||||
> **Note:** Some samples require that the Microsoft DirectX SDK (June 2010 or newer) be installed and that the VC++ directory paths are properly set up (**Tools > Options...**). Check DirectX Dependencies section for details."
|
||||
|
||||
### Linux
|
||||
The Linux samples are built using makefiles. To use the makefiles, change the current directory to the sample directory you wish to build, and run make:
|
||||
```
|
||||
$ cd <sample_dir>
|
||||
$ make
|
||||
```
|
||||
The samples makefiles can take advantage of certain options:
|
||||
* **TARGET_ARCH=<arch>** - cross-compile targeting a specific architecture. Allowed architectures are x86_64, ppc64le, armv7l.
|
||||
By default, TARGET_ARCH is set to HOST_ARCH. On a x86_64 machine, not setting TARGET_ARCH is the equivalent of setting TARGET_ARCH=x86_64.<br/>
|
||||
`$ make TARGET_ARCH=x86_64` <br/> `$ make TARGET_ARCH=ppc64le` <br/> `$ make TARGET_ARCH=armv7l` <br/>
|
||||
See [here](http://docs.nvidia.com/cuda/cuda-samples/index.html#cross-samples) for more details.
|
||||
* **dbg=1** - build with debug symbols
|
||||
```
|
||||
$ make dbg=1
|
||||
```
|
||||
* **SMS="A B ..."** - override the SM architectures for which the sample will be built, where `"A B ..."` is a space-delimited list of SM architectures. For example, to generate SASS for SM 50 and SM 60, use `SMS="50 60"`.
|
||||
```
|
||||
$ make SMS="50 60"
|
||||
```
|
||||
|
||||
* **HOST_COMPILER=<host_compiler>** - override the default g++ host compiler. See the [Linux Installation Guide](http://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html#system-requirements) for a list of supported host compilers.
|
||||
```
|
||||
$ make HOST_COMPILER=g++
|
||||
```
|
||||
|
||||
## References (for more details)
|
||||
|
||||
Loading…
Reference in New Issue
Block a user