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
17 lines
443 B
Bash
Executable File
17 lines
443 B
Bash
Executable File
#!/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
|