56fd68e7dd
CCCL (CUDA C++ Core Libraries) provides: - CUB: device/block/warp-level GPU primitives (reduce, scan, sort, topk) - Thrust: high-level parallel algorithms (transform_reduce, sort, scan) - libcudacxx: CUDA C++ standard library (atomics, barriers, memory) - cudax: experimental features (memory resources, allocators) - Tuning policies: per-SM hardware-specific algorithm parameters Competition optimization vectors mapped to CCCL: - Output TPS (83% weight): warp_reduce, block_reduce, device_topk - Input TPS (14% weight): device_scan, block_load, prefetch - Cache TPS (3% weight): prefix caching strategy patterns - Memory (0.9 util): pooled/cached/buddy allocators Source: https://github.com/NVIDIA/cccl (shallow clone, HEAD only) License: Apache-2.0
42 lines
994 B
CMake
42 lines
994 B
CMake
# cub_configure_cuda_target(<target_name> RDC <ON|OFF>)
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#
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# Configures `target_name` with the appropriate CUDA architectures and RDC state.
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function(cub_configure_cuda_target target_name)
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set(options)
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set(one_value_args RDC)
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set(multi_value_args)
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cmake_parse_arguments(
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cub_cuda
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"${options}"
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"${one_value_args}"
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"${multi_value_args}"
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${ARGN}
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)
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if (cub_cuda_UNPARSED_ARGUMENTS)
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message(
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AUTHOR_WARNING
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"Unrecognized arguments passed to cub_configure_cuda_target: "
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${cub_cuda_UNPARSED_ARGUMENTS}
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)
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endif()
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if (NOT DEFINED cub_cuda_RDC)
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message(AUTHOR_WARNING "RDC option required for cub_configure_cuda_target.")
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endif()
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if (cub_cuda_RDC)
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set_target_properties(
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${target_name}
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PROPERTIES #
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CUDA_SEPARABLE_COMPILATION ON
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POSITION_INDEPENDENT_CODE ON
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)
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else()
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set_target_properties(
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${target_name}
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PROPERTIES CUDA_SEPARABLE_COMPILATION OFF
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)
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endif()
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endfunction()
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