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
35 lines
1.0 KiB
Bash
Executable File
35 lines
1.0 KiB
Bash
Executable File
#!/usr/bin/env bash
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#this creates a set of tests, that ensures, that all internal headers can be build independently
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set -euo pipefail
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internal_headers=$(find ../../include -path "*cuda/std/__*/*" -not -path "*/__cuda/*")
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cd ../../test/libcxx/selftest/internal_headers
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for f in $internal_headers
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do
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short_path=${f##*../include/}
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test_name=${f##*include/}
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test_name=${test_name%.h}.pass.cpp
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mkdir -p -- "${test_name%/*}"
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cat > "$test_name" << EOL
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//===----------------------------------------------------------------------===//
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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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#include <cuda/std/version>
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#include <$short_path>
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int main(int, char**) { return 0; }
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EOL
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done
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