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
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620 B
ReStructuredText
24 lines
620 B
ReStructuredText
.. _libcudacxx-extended-api-random-pcg64:
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``pcg64``
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=========
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Defined in the ``<cuda/random>`` header.
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``cuda::pcg64`` is a 128-bit state PCG XSL RR 128/64 engine that produces 64-bit unsigned integer outputs. It has a
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period of ``2^128`` and supports logarithmic-time ``discard``. ``cuda::pcg64`` models the
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`UniformRandomBitGenerator <https://en.cppreference.com/w/cpp/named_req/UniformRandomBitGenerator>`_ named requirement.
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Example
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-------
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.. code:: cuda
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#include <cuda/random>
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__global__ void sample_kernel() {
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cuda::pcg64 rng(42);
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auto value = rng();
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rng.discard(10);
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}
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