update the module list to reflect the latest status

Author: leofang

README.md

@@ -4,11 +4,10 @@ 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 providing CCCL'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 CCCL's highly efficient and customizable parallel algorithms, like `sort`, `scan`, `reduce`, `transform`, etc, that are callable on the *host*
+* [cuda.cccl.cooperative](https://nvidia.github.io/cccl/cuda_cooperative/): A Python module providing CCCL's reusable block-wide and warp-wide *device* primitives for use within Numba CUDA kernels
+* [cuda.cccl.parallel](https://nvidia.github.io/cccl/cuda_parallel/): A Python module for easy access to CCCL's 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 target for CUDA GPU programming by directly compiling a restricted subset of Python code into CUDA kernels and device functions following the CUDA execution model.
-
-For access to NVIDIA CPU & GPU Math Libraries, please refer to [nvmath-python](https://docs.nvidia.com/cuda/nvmath-python/latest).
+* [nvmath-python](https://docs.nvidia.com/cuda/nvmath-python/latest): Pythonic access to NVIDIA CPU & GPU Math Libraries, with both [*host*](https://docs.nvidia.com/cuda/nvmath-python/latest/overview.html#host-apis) and [*device* (nvmath.device)](https://docs.nvidia.com/cuda/nvmath-python/latest/overview.html#device-apis) APIs. It also provides low-level Python bindings to host C APIs ([nvmath.bindings](https://docs.nvidia.com/cuda/nvmath-python/latest/bindings/index.html)).
 
 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/docs/source/index.rst

@@ -8,13 +8,14 @@ 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 providing CCCL's reusable block-wide and warp-wide *device* primitives for use within Numba CUDA kernels
-- `cuda.parallel`_: A Python package for easy access to CCCL's highly efficient and customizable parallel algorithms, like ``sort``, ``scan``, ``reduce``, ``transform``, etc, that are callable on the *host*
+- `cuda.cccl.cooperative`_: A Python module providing CCCL's reusable block-wide and warp-wide *device* primitives for use within Numba CUDA kernels
+- `cuda.cccl.parallel`_: A Python module for easy access to CCCL's highly efficient and customizable parallel algorithms, like ``sort``, ``scan``, ``reduce``, ``transform``, etc, that are callable on the *host*
 - `numba.cuda`_: Numba's target for CUDA GPU programming by directly compiling a restricted subset of Python code into CUDA kernels and device functions following the CUDA execution model.
-
-For access to NVIDIA CPU & GPU Math Libraries, please refer to `nvmath-python`_.
+* `nvmath-python`_: Pythonic access to NVIDIA CPU & GPU Math Libraries, with both *host* and *device* (through `nvmath.device`_) APIs. It also provides low-level Python bindings to host C APIs (through `nvmath.bindings`_).
 
 .. _nvmath-python: https://docs.nvidia.com/cuda/nvmath-python/latest
+.. _nvmath.device: https://docs.nvidia.com/cuda/nvmath-python/latest/overview.html#device-apis
+.. _nvmath.bindings: https://docs.nvidia.com/cuda/nvmath-python/latest/bindings/index.html
 
 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
@@ -31,6 +32,7 @@ be available, please refer to the `cuda.bindings`_ documentation for installatio
    release.md
    cuda.core <https://nvidia.github.io/cuda-python/cuda-core/latest>
    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>
+   cuda.cccl.cooperative <https://nvidia.github.io/cccl/cuda_cooperative>
+   cuda.cccl.parallel <https://nvidia.github.io/cccl/cuda_parallel>
    numba.cuda <https://nvidia.github.io/numba-cuda/>
+   nvmath-python <https://docs.nvidia.com/cuda/nvmath-python/>