Logo
Explore Help
Register Sign In
dylanyunlong/project_6
1
0
Fork 0
You've already forked project_6
Code Issues Pull Requests Actions Projects Releases Wiki Activity
Files
915c4aff56d43b8fcbfdd99dacd0829ea65c2334
project_6/cccl_upstream/libcudacxx/test/maintenance/cuda-to-std

17 lines
443 B
Plaintext
Raw Normal View History

[INFRA] Import NVIDIA/CCCL upstream as optimization reference library 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
2026-07-30 09:35:51 +00:00
#!/usr/bin/env bash
set -euo pipefail
root_dir=$(cd "$(dirname "${BASH_SOURCE[0]}")/.." && pwd)
stdlib_headers=$(<"${root_dir}/maintenance/stdlib-headers")
# shellcheck disable=SC2001
header_replacements=$(echo "${stdlib_headers}" | sed 's#<\(.*\)>#-e s:<cuda/std/\1>:<\1>:g#')
find "${root_dir}/test" -name "*.cpp" |
while read -r file
do
sed -i "${file}" "${header_replacements}"
sed -i "${file}" -e 's/cuda::std::/std::/g'
done
Reference in New Issue Copy Permalink
Powered by Gitea Version: 1.24.3 Page: 319ms Template: 2ms
English
Bahasa Indonesia Deutsch English Español Français Gaeilge Italiano Latviešu Magyar nyelv Nederlands Polski Português de Portugal Português do Brasil Suomi Svenska Türkçe Čeština Ελληνικά Български Русский Українська فارسی മലയാളം 日本語 简体中文 繁體中文(台灣) 繁體中文(香港) 한국어
Licenses API