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
69 lines
2.0 KiB
ReStructuredText
69 lines
2.0 KiB
ReStructuredText
.. _libcudacxx-ptx-instructions-mbarrier-arrive:
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mbarrier.arrive
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===============
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- PTX ISA:
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`mbarrier.arrive <https://docs.nvidia.com/cuda/parallel-thread-execution/index.html#parallel-synchronization-and-communication-instructions-mbarrier-arrive>`__
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.. _mbarrier.arrive-1:
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mbarrier.arrive
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---------------
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Some of the listed PTX instructions below are semantically equivalent.
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They differ in one important way: the shorter instructions are typically
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supported on older compilers.
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.. include:: generated/mbarrier_arrive.rst
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mbarrier.arrive.no_complete
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---------------------------
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.. include:: generated/mbarrier_arrive_no_complete.rst
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mbarrier.arrive.expect_tx
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-------------------------
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.. include:: generated/mbarrier_arrive_expect_tx.rst
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Usage
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-----
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.. code:: cuda
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#include <cuda/ptx>
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#include <cuda/barrier>
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#include <cooperative_groups.h>
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__global__ void kernel() {
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using cuda::ptx::sem_release;
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using cuda::ptx::space_cluster;
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using cuda::ptx::space_shared;
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using cuda::ptx::scope_cluster;
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using cuda::ptx::scope_cta;
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using barrier_t = cuda::barrier<cuda::thread_scope_block>;
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__shared__ barrier_t bar;
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init(&bar, blockDim.x);
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__syncthreads();
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NV_IF_TARGET(NV_PROVIDES_SM_90, (
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// Arrive on local shared memory barrier:
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uint64_t token;
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token = cuda::ptx::mbarrier_arrive_expect_tx(sem_release, scope_cluster, space_shared, &bar, 1);
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// Get address of remote cluster barrier:
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namespace cg = cooperative_groups;
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cg::cluster_group cluster = cg::this_cluster();
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unsigned int other_block_rank = cluster.block_rank() ^ 1;
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uint64_t * remote_bar = cluster.map_shared_rank(&bar, other_block_rank);
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// Sync cluster to ensure remote barrier is initialized.
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cluster.sync();
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// Arrive on remote cluster barrier:
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cuda::ptx::mbarrier_arrive_expect_tx(sem_release, scope_cluster, space_cluster, remote_bar, 1);
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)
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}
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