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
105dd96b5287aa4fb4ab1a546af1aebb40400a8a
project_6/cccl_upstream/thrust/testing/cuda/stream_per_thread.cmake

14 lines
418 B
CMake
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
# This test should always use per-thread streams on NVCC.
set_target_properties(
${test_target}
PROPERTIES
COMPILE_OPTIONS
$<$<COMPILE_LANG_AND_ID:CUDA,NVIDIA>:--default-stream=per-thread>
)
# NVC++ does not have an equivalent option, and will always
# use the global stream by default.
if (CMAKE_CUDA_COMPILER_ID STREQUAL "NVHPC")
set_tests_properties(${test_target} PROPERTIES WILL_FAIL ON)
endif()
Reference in New Issue Copy Permalink
Powered by Gitea Version: 1.24.3 Page: 83ms Template: 1ms
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