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https://git.rwth-aachen.de/acs/public/villas/node/
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13fd3f3c2a
Using CUDA, memory can be allocated on the GPU and shared to peers on the PCIe bus such as the FPGA. Furthermore, the DMA on the GPU can also be used to read and write to/from other memory on the PCIe bus, such as BRAM on the FPGA.
26 lines
569 B
CMake
26 lines
569 B
CMake
cmake_minimum_required(VERSION 3.8)
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project(villas-gpu
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VERSION 1.0
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DESCRIPTION "VILLASgpu"
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LANGUAGES C CXX CUDA)
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add_subdirectory(gdrcopy)
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add_library(villas-gpu SHARED gpu.cpp kernels.cu)
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target_compile_options(villas-gpu PRIVATE -g)
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set_source_files_properties(gpu.cpp PROPERTIES
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LANGUAGE CUDA)
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target_include_directories(villas-gpu PRIVATE /opt/cuda/include)
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target_link_libraries(villas-gpu
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PRIVATE villas-common gdrapi cuda)
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target_include_directories(villas-gpu
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PUBLIC
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${CMAKE_CURRENT_LIST_DIR}/include
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PRIVATE
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${CMAKE_CURRENT_LIST_DIR})
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