fix cuda.coop/par docs + mention numba.cuda

Author: leofang

README.md

@@ -4,12 +4,13 @@ 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/): 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
+* [cuda.cooperative](https://nvidia.github.io/cccl/cuda_cooperative/): A Python package providing CUB's reusable block-wide and warp-wide *device* primitives for use within Numba CUDA kernels
+* [cuda.parallel](https://nvidia.github.io/cccl/cuda_parallel/): A Python package for easy access to highly efficient and customizable parallel algorithms, like `sort`, `scan`, `reduce`, `transform`, etc, that are callable on the *host*.
+* [numba.cuda](https://nvidia.github.io/numba-cuda/): Numba's CUDA target for writing CUDA SIMT kernels in Python.
 
 For access to NVIDIA CPU & GPU Math Libraries, please refer to [nvmath-python](https://docs.nvidia.com/cuda/nvmath-python/latest).
 
-CUDA Python is currently undergoing an overhaul to improve existing and bring up new components. All of the previously available functionalities from the cuda-python package will continue to be available, please refer to the [cuda.bindings](https://nvidia.github.io/cuda-python/cuda-bindings/latest) documentation for installation guide and further detail.
+CUDA Python is currently undergoing an overhaul to improve existing and bring up new components. All of the previously available functionalities from the `cuda-python` package will continue to be available, please refer to the [cuda.bindings](https://nvidia.github.io/cuda-python/cuda-bindings/latest) documentation for installation guide and further detail.
 
 ## cuda-python as a metapackage
 
@@ -37,9 +38,4 @@ The list of available interfaces are:
 * CUDA Runtime
 * NVRTC
 * nvJitLink
-
-## Supported Python Versions
-
-All `cuda-python` subpackages follows CPython [End-Of-Life](https://devguide.python.org/versions/) schedule for supported Python version guarantee.
-
-Before dropping support there will be an issue raised as a notice.
+* NVVM

cuda_python/docs/source/conf.py

@@ -95,4 +95,5 @@
 .. _cuda.bindings: {CUDA_PYTHON_DOMAIN}/cuda-bindings/latest
 .. _cuda.cooperative: https://nvidia.github.io/cccl/cuda_cooperative/
 .. _cuda.parallel: https://nvidia.github.io/cccl/cuda_parallel/
+.. _numba.cuda: https://nvidia.github.io/numba-cuda/
 """

cuda_python/docs/source/index.rst

@@ -6,8 +6,9 @@ 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`_: 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
+- `cuda.cooperative`_: A Python package providing CUB's reusable block-wide and warp-wide *device* primitives for use within Numba CUDA kernels
+- `cuda.parallel`_: A Python package for easy access to highly efficient and customizable parallel algorithms, like ``sort``, ``scan``, ``reduce``, ``transform``, etc, that are callable on the *host*
+- `numba.cuda`_: Numba's CUDA target for writing CUDA SIMT kernels in Python
 
 For access to NVIDIA CPU & GPU Math Libraries, please refer to `nvmath-python`_.
 
@@ -30,5 +31,6 @@ be available, please refer to the `cuda.bindings`_ documentation for installatio
    cuda.bindings <https://nvidia.github.io/cuda-python/cuda-bindings/latest>
    cuda.cooperative <https://nvidia.github.io/cccl/cuda_cooperative>
    cuda.parallel <https://nvidia.github.io/cccl/cuda_parallel>
+   numba.cuda <https://nvidia.github.io/numba-cuda/>
    conduct.md
    contribute.md