2a7ca101d7
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
40 lines
1.3 KiB
ReStructuredText
40 lines
1.3 KiB
ReStructuredText
.. _cudax-module:
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CUDA Experimental
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=================
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.. toctree::
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:hidden:
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:maxdepth: 1
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Overview <self>
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container
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graph
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places
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stf
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API reference <api/index>
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``CUDA Experimental`` (``cudax``) provides experimental new features that are still in development and subject to change.
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However, any feature within this library has important use cases and we encourage users to experiment with them.
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Specifically, ``cudax`` provides:
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- :ref:`asynchronous host from/to device byte-wise mdspan copy <cudax-copy-bytes>`
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- :ref:`mdspan byte fill <cudax-fill-bytes>`
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- :ref:`uninitialized storage <libcudacxx-containers-uninitialized-async-buffer>`
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- :ref:`graph functionality <cudax-graph>`
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- dimensions description functionality
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- :ref:`places <cudax-places>` for managing execution and data affinity across devices
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- :ref:`an implementation of the STF (Sequential Task Flow) programming model <stf>`
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Stability Guarantees
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---------------------
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There are no stability guarantees whatsoever. We reserve the right to change both the ABI and the API of any feature
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within ``cudax`` at any time without notice.
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Availability
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-------------
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Due to its experimental nature and the lack of stability guarantees, ``cudax`` is not shipped with the CUDA toolkit but
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is solely available through GitHub.
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