{"library":"nvidia-cuda-cccl","type":"library","category":null,"description":"The `nvidia-cuda-cccl` Python package provides Pythonic interfaces to the NVIDIA CUDA Core Compute Libraries (CCCL), specifically CUB and Thrust. CCCL itself unifies essential CUDA C++ libraries (Thrust, CUB, libcudacxx) to offer building blocks for writing safe and efficient CUDA C++ code. This Python binding enables developers to leverage GPU-accelerated parallel algorithms and cooperative primitives directly from Python, easing the implementation of custom algorithms without needing to drop down to C++. The library is currently in 'experimental' status, meaning its API and feature set can evolve rapidly.","language":"python","status":"active","version":"13.2.27","tags":["cuda","gpu","parallel-computing","nvidia","python","high-performance-computing","numerical-computing"],"install":[{"cmd":"pip install cuda-cccl[cu13] # For CUDA 13.x","imports":["import cuda.compute","import cuda.coop"]},{"cmd":"pip install cuda-cccl[cu12] # For CUDA 12.x","imports":[]},{"cmd":"conda install -c conda-forge cccl-python","imports":[]}],"homepage":"https://developer.nvidia.com/cuda-zone","github":null,"docs":null,"changelog":null,"pypi":"https://pypi.org/project/nvidia-cuda-cccl/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":98,"avg_install_s":null,"avg_import_s":null,"wheel_type":null},"url":"https://checklist.day/v1/registry/nvidia-cuda-cccl/compatibility"},"provenance":{"verified_status":"install_fail","verified_at":"Sun Jun 28","last_verified":"Sun Jun 28","next_check":"Sun Jul 05","install_tag":null}}