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https://github.com/NVIDIA/cuda-samples.git
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56 lines
1.6 KiB
CMake
56 lines
1.6 KiB
CMake
cmake_minimum_required(VERSION 3.20)
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list(APPEND CMAKE_MODULE_PATH "${CMAKE_SOURCE_DIR}/cmake/Modules")
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project(vectorAddMMAP LANGUAGES C CXX CUDA)
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find_package(CUDAToolkit REQUIRED)
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set(CMAKE_CXX_STANDARD 17)
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set(CMAKE_CXX_STANDARD_REQUIRED ON)
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set(CMAKE_CUDA_STANDARD 17)
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set(CMAKE_CUDA_STANDARD_REQUIRED ON)
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set(CMAKE_CUDA_ARCHITECTURES "native")
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if(CMAKE_BUILD_TYPE STREQUAL "Debug")
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# set(CMAKE_CUDA_FLAGS "${CMAKE_CUDA_FLAGS} -G") # enable cuda-gdb (expensive)
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endif()
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set(CMAKE_CUDA_FLAGS "${CMAKE_CUDA_FLAGS} --extended-lambda")
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# Include directories and libraries
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include_directories(../../../Common)
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# Source file
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set(SRC_FILES
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vectorAddMMAP.cpp
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multidevicealloc_memmap.cpp
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)
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# Add target for vectorAddMMAP
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add_executable(vectorAddMMAP ${SRC_FILES})
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set_target_properties(vectorAddMMAP PROPERTIES CUDA_SEPARABLE_COMPILATION ON)
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target_include_directories(vectorAddMMAP PRIVATE
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${CUDAToolkit_INCLUDE_DIRS}
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)
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target_link_libraries(vectorAddMMAP PUBLIC
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CUDA::cuda_driver
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)
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set(CUDA_FATBIN_FILE "${CMAKE_CURRENT_BINARY_DIR}/vectorAdd_kernel64.fatbin")
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set(CUDA_KERNEL_SOURCE "${CMAKE_CURRENT_SOURCE_DIR}/vectorAdd_kernel.cu")
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add_custom_command(
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OUTPUT ${CUDA_FATBIN_FILE}
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COMMAND ${CMAKE_CUDA_COMPILER} ${INCLUDES} ${ALL_CCFLAGS} ${GENCODE_FLAGS} -o ${CUDA_FATBIN_FILE} -fatbin ${CUDA_KERNEL_SOURCE}
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DEPENDS ${CUDA_KERNEL_SOURCE}
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COMMENT "Building CUDA fatbin: ${CUDA_FATBIN_FILE}"
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)
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# Create a dummy target for fatbin generation
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add_custom_target(generate_fatbin_vectorAddMMAP ALL DEPENDS ${CUDA_FATBIN_FILE})
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# Ensure matrixMulDrv depends on the fatbin
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add_dependencies(vectorAddMMAP generate_fatbin_vectorAddMMAP)
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