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feat(cccl): integrate missing CCCL directories — python/, ci/, .agent/, docs/, test/ 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
2026-08-07 02:34:33 +00:00
.. _cccl-runtime-legacy-resources:
.. _libcudacxx-extended-api-memory-resources-legacy-resources:
Legacy resources
================
Legacy memory resources provide synchronous allocation interfaces backed by the CUDA Runtime's legacy allocation APIs.
They are primarily intended for compatibility with older toolkits or platforms that do not support the newer memory
pool-based resources. Prefer the modern memory resources where available.
For the full memory resource model and property system, see
:ref:`Memory Resources (Extended API) <libcudacxx-extended-api-memory-resources>`.
:cpp:class:`cuda::mr::legacy_pinned_memory_resource`
------------------------------------------------------
.. _libcudacxx-memory-resource-legacy-pinned-memory-resource:
Provides pinned (page-locked) host allocations using ``cudaMallocHost`` and ``cudaFreeHost``. This resource is
*synchronous-only* and is intended as a compatibility fallback. For CUDA 12.9 and later, prefer
:cpp:any:`cuda::pinned_memory_resource`.
.. code:: cpp
#include <cuda/memory_resource>
void use_legacy_pinned() {
cuda::mr::legacy_pinned_memory_resource resource{};
void* ptr = resource.allocate_sync(1024, 64);
// Use memory...
resource.deallocate_sync(ptr, 1024, 64);
}
:cpp:class:`cuda::mr::legacy_managed_memory_resource`
-------------------------------------------------------
.. _libcudacxx-memory-resource-legacy-managed-memory-resource:
Provides managed (unified) allocations using ``cudaMallocManaged`` and ``cudaFree``. This resource is
*synchronous-only* and accepts the CUDA attachment flags (``cudaMemAttachGlobal`` / ``cudaMemAttachHost``). Prefer
:cpp:any:`cuda::managed_memory_resource` when available.
.. code:: cpp
#include <cuda/memory_resource>
void use_legacy_managed() {
cuda::mr::legacy_managed_memory_resource resource{cudaMemAttachGlobal};
void* ptr = resource.allocate_sync(1024, 64);
// Use memory...
resource.deallocate_sync(ptr, 1024, 64);
}