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
22 lines
934 B
Python
22 lines
934 B
Python
##===----------------------------------------------------------------------===##
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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) 2026 NVIDIA CORPORATION & AFFILIATES.
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##
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##===----------------------------------------------------------------------===##
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import os
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LIBCUDACXX_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
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LIBCUDACXX_CMAKE_DIR = os.path.join(LIBCUDACXX_DIR, "cmake")
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LIBCUDACXX_CODEGEN_DIR = os.path.join(LIBCUDACXX_DIR, "codegen")
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LIBCUDACXX_INCLUDE_DIR = os.path.join(LIBCUDACXX_DIR, "include")
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LIBCUDACXX_TEST_DIR = os.path.join(LIBCUDACXX_DIR, "test")
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DOCS_DIR = os.path.dirname(LIBCUDACXX_DIR)
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DOCS_LIBCUDACXX_DIR = os.path.join(DOCS_DIR, "libcudacxx")
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