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
1.6 KiB
Plaintext
36 lines
1.6 KiB
Plaintext
//===----------------------------------------------------------------------===//
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//
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// Part of CUDASTF in CUDA C++ Core Libraries,
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// under the Apache License v2.0 with LLVM Exceptions.
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// See https://llvm.org/LICENSE.txt for license information.
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// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
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// SPDX-FileCopyrightText: Copyright (c) 2022-2026 NVIDIA CORPORATION & AFFILIATES.
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//
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//===----------------------------------------------------------------------===//
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/** @file
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*
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* @brief Main include file for the standalone CUDA places library.
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*
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* Provides data_place, exec_place, stream_pool, green context support,
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* place partitioning utilities, and partition strategies (`cyclic_shape`,
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* `cyclic_partition`, `blocked_partition`, `tiled_partition`) without pulling
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* in the full CUDASTF task-graph framework.
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*/
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#pragma once
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#include <cuda/experimental/__places/cute_partition.cuh>
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#include <cuda/experimental/__places/exec/cuda_context.cuh>
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#include <cuda/experimental/__places/exec/cuda_stream.cuh>
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#include <cuda/experimental/__places/exec/green_context.cuh>
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#include <cuda/experimental/__places/exec/green_ctx_view.cuh>
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#include <cuda/experimental/__places/localized_array.cuh>
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#include <cuda/experimental/__places/machine.cuh>
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#include <cuda/experimental/__places/partitions/blocked_partition.cuh>
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#include <cuda/experimental/__places/partitions/cyclic_shape.cuh>
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#include <cuda/experimental/__places/partitions/tiled_partition.cuh>
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#include <cuda/experimental/__places/place_partition.cuh>
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#include <cuda/experimental/__places/places.cuh>
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#include <cuda/experimental/__places/stream_pool.cuh>
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