cuda-cccl 0.5.1

CUDA Core Compute Libraries for Python

CUDA CCCL Python Package

cuda.cccl provides a Pythonic interface to the CUDA Core Compute Libraries. It provides the following modules:

• cuda.compute - Device-level parallel algorithms (reduce, scan, sort, etc.) and iterators
• cuda.coop - Block and warp-level cooperative primitives for custom CUDA kernels

Installation

Install from PyPI:

pip install cuda-cccl[cu13]  # For CUDA 13.x
pip install cuda-cccl[cu12]  # For CUDA 12.x

Install from conda-forge:

conda install -c conda-forge cccl-python

Requirements: Python 3.10+, CUDA Toolkit 12.x or 13.x, NVIDIA GPU with Compute Capability 6.0+

Documentation

For complete documentation, examples, and API reference, visit:

• Full Documentation: nvidia.github.io/cccl/python
• Repository: github.com/NVIDIA/cccl
• Examples: github.com/NVIDIA/cccl/tree/main/python/cuda_cccl/tests/compute/examples and github.com/NVIDIA/cccl/tree/main/python/cuda_cccl/tests/coop/examples