Files
project_6/cccl_upstream/docs/infrastructure/cmake/references/architecture_flags.rst
muh-bot 2a7ca101d7 feat(cccl): integrate missing CCCL directories — python/, ci/, .agent/, docs/, test/
Sparse-checkout from NVIDIA/cccl main branch to complete cccl_upstream:

Added:
- python/cuda_cccl/ (226 files) — Python bindings for device-level algorithms
  Critical for muh toolchain: cuda.compute.reduce_into, scan, radix_sort, etc.
  Includes 204 .py files with full test coverage for all 27 algorithms
- ci/ (163 files) — Build/test infrastructure
  build_cub.sh, test_cub.sh, build_and_test_targets.sh, matrix.yaml
  Directly maps to our [INFRA-CI] and [INFRA-BUILD] items
- .agent/skills/ (7 files) — NVIDIA's own agent skills for CCCL
  cccl-style/SKILL.md, cccl-test/SKILL.md, sass-diff/SKILL.md
- docs/ (491 files) — Official CCCL documentation
  CI references, CMake guides, Python compute docs, libcudacxx PTX docs
- test/ (12 files) — Top-level integration tests (cuda_smoke, stdpar)
- Root configs: .clang-format, .clang-tidy, CONTRIBUTING.md, pyproject.toml
- CLAUDE.md symlink → AGENTS.md (NVIDIA's standard)

cccl_upstream now mirrors full NVIDIA/cccl structure:
  Before: 42M (cub + thrust + libcudacxx + cudax + c + examples + benchmarks)
  After:  53M (+python +ci +docs +.agent +test +configs)

This completes the CCCL base needed for:
- [muh-bench] items: ci/util/build_and_test_targets.sh for targeted builds
- [CCCL-verify] items: python/cuda_cccl/tests/ as reference implementations
- [CCCL-test] items: ci/test_cub.sh, ci/test_thrust.sh
- Agent workflow: .agent/skills/ for consistent style and test patterns
2026-08-07 02:34:33 +00:00

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.. _infra-cmake-architecture-flags:
Architecture flags
==================
CCCL builds device code for the SM architectures named in ``CMAKE_CUDA_ARCHITECTURES``, a
semicolon-separated list of SM numbers, each optionally tagged ``-real`` (embed SASS) or
``-virtual`` (embed PTX for JIT on newer GPUs). CMake also accepts ``native``, ``all``, and
``all-major``. The
`CUDA_ARCHITECTURES property <https://cmake.org/cmake/help/latest/prop_tgt/CUDA_ARCHITECTURES.html>`_
documents the standard syntax and values.
CCCL adds two values, expanded at configure time by ``cccl_check_cuda_architectures()`` against
the toolkit found at configure time:
- ``all-cccl`` — every architecture the current nvcc supports at or above CCCL's minimum.
- ``all-major-cccl`` — one entry per major architecture at or above the minimum, carrying
forward PTX on the highest.
Both resolve against the installed toolkit rather than a fixed table. The minimum supported
architecture and the full expansion logic live in ``cmake/CCCLCheckCudaArchitectures.cmake``.
Expansion runs only for a top-level CCCL build; downstream consumers pass a concrete list or
``native``.