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[INFRA] Import NVIDIA/CCCL upstream as optimization reference library

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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
This commit is contained in:
EngineX CI
2026-07-30 09:35:51 +00:00
parent b4d01f481e
commit 56fd68e7dd
8871 changed files with 1454674 additions and 0 deletions
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95
cccl_upstream/libcudacxx/test/maintenance/stdlib-headers Normal file
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<algorithm>
<any>
<array>
<atomic>
<barrier>
<bit>
<bitset>
<cassert>
<ccomplex>
<cctype>
<cerrno>
<cfenv>
<cfloat>
<charconv>
<chrono>
<cinttypes>
<climits>
<clocale>
<cmath>
<codecvt>
<compare>
<complex>
<concepts>
<condition_variable>
<contract>
<csetjmp>
<csignal>
<cstdarg>
<cstddef>
<cstdint>
<cstdio>
<cstdlib>
<cstring>
<ctime>
<cuchar>
<cwchar>
<cwctype>
<deque>
<exception>
<execution>
<filesystem>
<forward_list>
<fstream>
<functional>
<future>
<initializer_list>
<iomanip>
<ios>
<iosfwd>
<iostream>
<istream>
<iterator>
<latch>
<limits>
<list>
<locale>
<map>
<memory>
<memory_resource>
<mutex>
<new>
<numeric>
<optional>
<ostream>
<queue>
<random>
<ranges>
<ratio>
<regex>
<scoped_allocator>
<semaphore>
<set>
<shared_mutex>
<span>
<sstream>
<stack>
<stdexcept>
<streambuf>
<string>
<string_view>
<strstream>
<syncstream>
<system_error>
<thread>
<tuple>
<type_traits>
<typeindex>
<typeinfo>
<unordered_map>
<unordered_set>
<utility>
<valarray>
<variant>
<vector>
<version>