284804ac53
Sources: siboehm/SGEMM_CUDA → upstream_ref/sgemm_siboehm/ (25 files) wangzyon/NVIDIA_SGEMM_PRACTICE → upstream_ref/nvidia_sgemm_practice/ (23 files, filled gaps) edtallison/sgemm-cuda → upstream_ref/sgemm_edtallison/ (41 files) All files cat'd one by one from git clone (no --depth). These are the 3 public SGEMM repos that can compile on CUDA 10.2 + CoreX ivcore10. Key files for BI-V100 porting: kernel 10 (warp tiling) — already proven on device with WARPSIZE=64 kernel 11/12 (double buffering) — next optimization target sgemm.cu + runner.cu — complete build+benchmark harness CMakeLists.txt — build system reference
37 lines
1.3 KiB
CMake
37 lines
1.3 KiB
CMake
cmake_minimum_required(VERSION 3.0)
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project(NVIDIA_SGEMM_PRACTICE)
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# gcc/g++编译参数说明：
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# -O1~3编译器优化选项的4个级别，-O1默认，级别越大优化效果越好，但编译时间越长;
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# -std=c++11，采用C++11标准编译
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set(CMAKE_CXX_FLAGS "-O3 -std=c++11")
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# nvcc编译参数说明：
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# -g:主机代码添加调试信息;
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# -G:设备代码产生调试信息，将会禁用大多数编译器优化，造成设备代码运行缓慢;
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# -Xptxas -dlcm=ca启用L1缓存，-Xptxas -dlcm=cg关闭L1缓存
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# set(CUDA_NVCC_FLAGS -g;-G;-Xptxas;-dlcm=ca)
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# set(CUDA_NVCC_FLAGS -Xptxas;-dlcm=cg)
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set(CUDA_NVCC_FLAGS -arch=compute_70;-code=compute_70)
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# 若FIND CUDA ERROR，在~/.bashrc中添加配置环境变量和动态库路径
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# CUDA_HOME=/usr/local/cuda
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# export PATH=$CUDA_HOME/bin:$PATH
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# export LD_LIBRARY_PATH=$CUDA_HOME/lib64:$LD_LIBRARY_PATH
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find_package(CUDA REQUIRED)
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# 配置头文件搜索路径
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include_directories(${CUDA_INCLUDE_DIRS})
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include_directories(${PROJECT_SOURCE_DIR}/src)
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# 配置待编译的源文件路径
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aux_source_directory(${PROJECT_SOURCE_DIR}/src SRC)
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# 可执行文件输出路径
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set(EXECUTABLE_OUTPUT_PATH ${PROJECT_SOURCE_DIR})
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# 生成可执行文件
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CUDA_ADD_EXECUTABLE(sgemm sgemm.cu ${SRC})
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# link cudart cublas
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target_link_libraries(sgemm ${CUDA_LIBRARIES} ${CUDA_cublas_LIBRARY})
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