Logo
Explore Help
Register Sign In
dylanyunlong/project_6_89d52222
1
0
Fork 0
You've already forked project_6_89d52222
Code Issues Pull Requests Actions Projects Releases Wiki Activity
Files
81e4a907c0f640d2ddc8ef9359c26ac5f2ba2d2e
project_6_89d52222/cccl_upstream/c/CMakeLists.txt

20 lines
458 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
if (CCCL_ENABLE_C_PARALLEL AND CCCL_ENABLE_C_PARALLEL_V2)
message(
FATAL_ERROR
"CCCL_ENABLE_C_PARALLEL and CCCL_ENABLE_C_PARALLEL_V2 are mutually exclusive. "
"v2 is the HostJIT-based successor of v1; pick one."
)
endif()
if (CCCL_ENABLE_C_PARALLEL)
add_subdirectory(parallel)
endif()
if (CCCL_ENABLE_C_PARALLEL_V2)
add_subdirectory(parallel.v2)
endif()
if (CCCL_ENABLE_C_EXPERIMENTAL_STF)
add_subdirectory(experimental/stf)
endif()
Reference in New Issue Copy Permalink
Powered by Gitea Version: 1.24.3 Page: 103ms Template: 17ms
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