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
28 lines
1.1 KiB
Plaintext
28 lines
1.1 KiB
Plaintext
// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
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// SPDX-FileCopyrightText: Copyright (c) 2025-2026 NVIDIA CORPORATION & AFFILIATES.
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#pragma once
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#include <cub/config.cuh>
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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/detail/warpspeed/allocators/smem_allocator.cuh>
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#include <cub/detail/warpspeed/constant_assert.cuh>
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#include <cub/detail/warpspeed/make_warp_uniform.cuh>
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#include <cub/detail/warpspeed/resource/smem_phase.cuh>
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#include <cub/detail/warpspeed/resource/smem_ref.cuh>
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#include <cub/detail/warpspeed/resource/smem_resource.cuh>
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#include <cub/detail/warpspeed/resource/smem_resource_raw.cuh>
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#include <cub/detail/warpspeed/resource/smem_stage.cuh>
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#include <cub/detail/warpspeed/special_registers.cuh>
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#include <cub/detail/warpspeed/squad/squad.cuh>
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#include <cub/detail/warpspeed/squad/squad_desc.cuh>
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#include <cub/detail/warpspeed/sync_handler.cuh>
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#include <cub/detail/warpspeed/values.cuh>
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