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
46 lines
1.2 KiB
C++
46 lines
1.2 KiB
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) 2024 NVIDIA CORPORATION & AFFILIATES.
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//
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//===----------------------------------------------------------------------===//
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#include <fstream>
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#include <iostream>
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#include <ostream>
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#include "generators/compare_and_swap.h"
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#include "generators/exchange.h"
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#include "generators/fence.h"
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#include "generators/fetch_ops.h"
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#include "generators/header.h"
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#include "generators/ld_st.h"
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using namespace std::string_literals;
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int main(int argc, char** argv)
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{
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std::fstream filestream;
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if (argc == 2)
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{
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filestream.open(argv[1], filestream.out);
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}
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std::ostream& stream = filestream.is_open() ? filestream : std::cout;
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FormatHeader(stream);
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FormatFence(stream);
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FormatLoad(stream);
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FormatStore(stream);
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FormatCompareAndSwap(stream);
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FormatExchange(stream);
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FormatFetchOps(stream);
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FormatTail(stream);
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return 0;
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}
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