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
71 lines
2.9 KiB
ReStructuredText
71 lines
2.9 KiB
ReStructuredText
.. _cccl-cpp-libraries:
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CUDA C++ Core Libraries
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=======================
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.. toctree::
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:hidden:
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:maxdepth: 3
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libcudacxx/index
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cub/index
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thrust/index
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cudax/index
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cccl/tma
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cccl/determinism
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cccl/config_macros
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cccl/3.0_migration_guide
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cccl/development/index
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cccl/contributing
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cccl/license
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Welcome to the CUDA Core Compute Libraries (CCCL) libraries for C++.
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The concept for the CCCL C++ librarires grew organically out of the Thrust,
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CUB, and libcudacxx projects that were developed independently over the years
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with a similar goal: to provide high-quality, high-performance, and
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easy-to-use C++ abstractions for CUDA developers. Naturally, there was a lot
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of overlap among the three projects, and it became clear the community would
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be better served by unifying them into a single repository.
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- :doc:`libcu++ <libcudacxx/index>`
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is the CUDA C++ Standard Library. It provides an implementation of the C++
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Standard Library that works in both host and device code. Additionally, it
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provides abstractions for CUDA-specific hardware features like
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synchronization primitives, cache control, atomics, and more.
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- :doc:`CUB <cub/index>`
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is a lower-level, CUDA-specific library designed for speed-of-light parallel
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algorithms across all GPU architectures. In addition to device-wide
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algorithms, it provides *cooperative algorithms* like block-wide reduction
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and warp-wide scan, providing CUDA kernel developers with building blocks to
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create speed-of-light, custom kernels.
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- :doc:`Thrust <thrust/index>`
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is the C++ parallel algorithms library which inspired the introduction of
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parallel algorithms to the C++ Standard Library. Thrust's high-level
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interface greatly enhances programmer productivity while enabling performance
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portability between GPUs and multicore CPUs via configurable backends that
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allow using multiple parallel programming frameworks (such as CUDA, TBB, and
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OpenMP).
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- :doc:`Cuda Experimental <cudax/index>`
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is a library of experimental features that are still in the design process.
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The main goal of the CCCL C++ libraries is to fill a similar role that the
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Standard C++ Library fills for Standard C++: provide general-purpose,
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speed-of-light tools to CUDA C++ developers, allowing them to focus on
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solving the problems that matter. Unifying these projects is the first step
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towards realizing that goal.
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CUDA C++ Tile support
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======================
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`CUDA Tile <https://developer.nvidia.com/cuda/tile#section-more-resources>`_ introduces a new way to program GPUs at a higher level than SIMT.
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Due to the additional constraints of tile compilation :doc:`CUB <cub/index>`, :doc:`Thrust <thrust/index>`
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and :doc:`Cuda Experimental <cudax/index>` are currently not supported in a tile program.
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There is partial support for :doc:`libcu++ <libcudacxx/index>` for tile programs.
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The current support matrix can be found in the :doc:`libcu++ documentation <libcudacxx/tile>`
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