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
24 lines
952 B
C++
24 lines
952 B
C++
//===----------------------------------------------------------------------===//
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//
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// Part of libcu++, the C++ Standard Library for your entire system,
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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) 2023 NVIDIA CORPORATION & AFFILIATES.
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//
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//===----------------------------------------------------------------------===//
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// ignore deprecation warnings
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#if defined(__clang__)
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# pragma clang diagnostic ignored "-Wdeprecated"
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# pragma clang diagnostic ignored "-Wdeprecated-declarations"
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#elif defined(_MSC_VER)
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# pragma warning (disable: 4996)
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#else
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# pragma GCC diagnostic ignored "-Wdeprecated"
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# pragma GCC diagnostic ignored "-Wdeprecated-declarations"
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#endif
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// This file tests that the respective header is includable on its own with a cuda compiler
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#include <@header@>
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