diff --git a/README.md b/README.md index 79200a13a7..3639857f21 100644 --- a/README.md +++ b/README.md @@ -4,8 +4,8 @@ CUDA Python is the home for accessing NVIDIA’s CUDA platform from Python. It c * [cuda.core](https://nvidia.github.io/cuda-python/cuda-core/latest): Pythonic access to CUDA Runtime and other core functionalities * [cuda.bindings](https://nvidia.github.io/cuda-python/cuda-bindings/latest): Low-level Python bindings to CUDA C APIs -* [cuda.cooperative](https://nvidia.github.io/cccl/cuda_cooperative/): Pythonic exposure of CUB cooperative algorithms -* [cuda.parallel](https://nvidia.github.io/cccl/cuda_parallel/): Pythonic exposure of Thrust parallel algorithms +* [cuda.cooperative](https://nvidia.github.io/cccl/cuda_cooperative/): A Python package for easy access to highly efficient and customizable parallel algorithms, like `sort`, `scan`, `reduce`, `transform`, etc. +* [cuda.parallel](https://nvidia.github.io/cccl/cuda_parallel/): A Python package providing CUB's reusable block-wide and warp-wide primitives for use within Numba CUDA kernels For access to NVIDIA CPU & GPU Math Libraries, please refer to [nvmath-python](https://docs.nvidia.com/cuda/nvmath-python/latest). diff --git a/cuda_python/docs/source/index.rst b/cuda_python/docs/source/index.rst index 330268b452..78b81a18d5 100644 --- a/cuda_python/docs/source/index.rst +++ b/cuda_python/docs/source/index.rst @@ -6,8 +6,8 @@ multiple components: - `cuda.core`_: Pythonic access to CUDA runtime and other core functionalities - `cuda.bindings`_: Low-level Python bindings to CUDA C APIs -- `cuda.cooperative`_: Pythonic exposure of CUB cooperative algorithms -- `cuda.parallel`_: Pythonic exposure of Thrust parallel algorithms +- `cuda.cooperative`_: A Python package for easy access to highly efficient and customizable parallel algorithms, like `sort`, `scan`, `reduce`, `transform`, etc. +- `cuda.parallel`_: A Python package providing CUB's reusable block-wide and warp-wide primitives for use within Numba CUDA kernels For access to NVIDIA CPU & GPU Math Libraries, please refer to `nvmath-python`_.