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
36 lines
1.0 KiB
CMake
36 lines
1.0 KiB
CMake
# Returns the host triple.
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# Invokes config.guess
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function(get_host_triple var)
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if (MSVC)
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if (CMAKE_SIZEOF_VOID_P EQUAL 8)
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set(value "x86_64-pc-windows-msvc")
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else()
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set(value "i686-pc-windows-msvc")
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endif()
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elseif (MINGW AND NOT MSYS)
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if (CMAKE_SIZEOF_VOID_P EQUAL 8)
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set(value "x86_64-w64-windows-gnu")
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else()
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set(value "i686-pc-windows-gnu")
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endif()
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else(MSVC)
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if (CMAKE_HOST_SYSTEM_NAME STREQUAL Windows AND NOT MSYS)
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message(WARNING "unable to determine host target triple")
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else()
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set(config_guess ${LLVM_PATH}/cmake/config.guess)
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execute_process(
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COMMAND sh ${config_guess}
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RESULT_VARIABLE TT_RV
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OUTPUT_VARIABLE TT_OUT
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OUTPUT_STRIP_TRAILING_WHITESPACE
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)
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if (NOT TT_RV EQUAL 0)
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message(FATAL_ERROR "Failed to execute ${config_guess}")
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endif(NOT TT_RV EQUAL 0)
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set(value ${TT_OUT})
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endif()
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endif(MSVC)
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set(${var} ${value} PARENT_SCOPE)
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endfunction(get_host_triple var)
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