[INFRA] Import NVIDIA/CCCL upstream as optimization reference library
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
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62
cccl_upstream/cub/cmake/CubCudaConfig.cmake
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62
cccl_upstream/cub/cmake/CubCudaConfig.cmake
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#
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# Architecture options:
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#
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option(
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CUB_ENABLE_RDC_TESTS
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"Enable tests that require separable compilation."
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ON
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)
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option(
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CUB_FORCE_RDC
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"Enable separable compilation on all targets that support it."
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OFF
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)
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option(
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CUB_ENABLE_LAUNCH_NO_LAUNCHER
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"Enable tests/examples without explicit launch variants."
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ON
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)
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option(
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CUB_ENABLE_LAUNCH_HOST_LAUNCHER
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"Enable host launch variants (lid_0)."
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ON
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)
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option(
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CUB_ENABLE_LAUNCH_DEVICE_LAUNCHER
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"Enable device launch variants (lid_1)."
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ON
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)
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option(
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CUB_ENABLE_LAUNCH_GRAPH_LAUNCHER
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"Enable graph launch variants (lid_2)."
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ON
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)
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option(
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CUB_ENABLE_LAUNCH_VARIANTS
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"Deprecated: use CUB_ENABLE_LAUNCH_DEVICE_LAUNCHER/GRAPH_LAUNCHER to control lid_1/lid_2."
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ON
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)
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if (NOT CUB_ENABLE_LAUNCH_VARIANTS)
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message(
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WARNING
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"CUB_ENABLE_LAUNCH_VARIANTS is deprecated; disabling lid_1/lid_2 launch variants."
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)
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set(
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CUB_ENABLE_LAUNCH_DEVICE_LAUNCHER
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OFF
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CACHE BOOL
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"Enable device launch variants (lid_1)."
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FORCE
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)
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set(
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CUB_ENABLE_LAUNCH_GRAPH_LAUNCHER
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OFF
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CACHE BOOL
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"Enable graph launch variants (lid_2)."
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FORCE
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)
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endif()
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