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
32 lines
858 B
ReStructuredText
32 lines
858 B
ReStructuredText
.. _libcudacxx-ptx-instructions-mbarrier-red-async:
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red.async
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=========
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- PTX ISA:
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`red.async <https://docs.nvidia.com/cuda/parallel-thread-execution/index.html#parallel-synchronization-and-communication-instructions-red-async>`__
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.. _red.async-1:
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red.async
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---------
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.. include:: generated/red_async.rst
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red.async ``.s64`` emulation
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----------------------------
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PTX does not currently (CTK 12.3) expose ``red.async.add.s64``. This
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exposure is emulated in ``cuda::ptx`` using
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.. code:: cuda
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// red.async.relaxed.cluster.shared::cluster.mbarrier::complete_tx::bytes{.op}.u64 [dest], value, [remote_bar]; // .u64 intentional PTX ISA 81, SM_90
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// .op = { .add }
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template <typename=void>
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__device__ static inline void red_async(
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cuda::ptx::op_add_t,
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int64_t* dest,
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const int64_t& value,
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int64_t* remote_bar);
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