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
30 lines
866 B
Plaintext
30 lines
866 B
Plaintext
// SPDX-FileCopyrightText: Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
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// SPDX-License-Identifier: BSD-3
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/**
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* \file
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* Static configuration header for the CUB project.
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*/
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#pragma once
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// For _CCCL_IMPLICIT_SYSTEM_HEADER
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#include <cuda/__cccl_config> // IWYU pragma: export
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#if defined(_CCCL_IMPLICIT_SYSTEM_HEADER_GCC)
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# pragma GCC system_header
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#elif defined(_CCCL_IMPLICIT_SYSTEM_HEADER_CLANG)
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# pragma clang system_header
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#elif defined(_CCCL_IMPLICIT_SYSTEM_HEADER_MSVC)
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# pragma system_header
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#endif // no system header
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#include <cub/util_arch.cuh> // IWYU pragma: export
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#include <cub/util_cpp_dialect.cuh> // IWYU pragma: export
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#include <cub/util_macro.cuh> // IWYU pragma: export
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#include <cub/util_namespace.cuh> // IWYU pragma: export
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#if !_CCCL_COMPILER(NVRTC)
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# include <cuda/__nvtx/nvtx.h>
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#endif // !_CCCL_COMPILER(NVRTC)
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