Update CUDA Python project list (NVIDIA#1339)

* update readme

* Initial plan

* Update documentation files following commit a1e0f91

Co-authored-by: leofang <5534781+leofang@users.noreply.github.com>

* Update cuda.coop and cuda.compute URLs to correct paths

Co-authored-by: leofang <5534781+leofang@users.noreply.github.com>

* Update rst_epilog to use new package names cuda.coop and cuda.compute

Co-authored-by: leofang <5534781+leofang@users.noreply.github.com>

* only projects maintained in the NVIDIA/cuda-python repo should be listed here

* fix numba-cuda hyperlink

* Apply suggestions from code review

Co-authored-by: Juan Galvez <jjgalvez@msn.com>

* Apply suggestions from code review

---------

Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
Co-authored-by: leofang <5534781+leofang@users.noreply.github.com>
Co-authored-by: Juan Galvez <jjgalvez@msn.com>

Author: 3 people

README.md

@@ -2,15 +2,19 @@
 
 CUDA Python is the home for accessing NVIDIA’s CUDA platform from Python. It consists of multiple components:
 
-* [cuda.core](https://nvidia.github.io/cuda-python/cuda-core/latest): Pythonic access to CUDA Runtime and other core functionalities
+* [cuda.core](https://nvidia.github.io/cuda-python/cuda-core/latest): Pythonic access to CUDA Runtime and other core functionality
 * [cuda.bindings](https://nvidia.github.io/cuda-python/cuda-bindings/latest): Low-level Python bindings to CUDA C APIs
 * [cuda.pathfinder](https://nvidia.github.io/cuda-python/cuda-pathfinder/latest): Utilities for locating CUDA components installed in the user's Python environment
-* [cuda.cccl.cooperative](https://nvidia.github.io/cccl/python/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/python/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.
-* [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 introduce 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.coop](https://nvidia.github.io/cccl/python/coop): A Python module providing CCCL's reusable block-wide and warp-wide *device* primitives for use within Numba CUDA kernels
+* [cuda.compute](https://nvidia.github.io/cccl/python/compute): 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/): A Python DSL that exposes CUDA **SIMT** programming model and compiles a restricted subset of Python code into CUDA kernels and device functions
+* [cuda.tile](https://docs.nvidia.com/cuda/cutile-python/): A new Python DSL that exposes CUDA **Tile** programming model and allows users to write NumPy-like code in CUDA kernels
+* [nvmath-python](https://docs.nvidia.com/cuda/nvmath-python/latest): Pythonic access to NVIDIA CPU & GPU Math Libraries, with [*host*](https://docs.nvidia.com/cuda/nvmath-python/latest/overview.html#host-apis), [*device*](https://docs.nvidia.com/cuda/nvmath-python/latest/overview.html#device-apis), and [*distributed*](https://docs.nvidia.com/cuda/nvmath-python/latest/distributed-apis/index.html) 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)).
+* [nvshmem4py](https://docs.nvidia.com/nvshmem/api/api/language_bindings/python/index.html): Pythonic interface to the NVSHMEM library, enabling Python applications to leverage NVSHMEM's high-performance PGAS (Partitioned Global Address Space) programming model for GPU-accelerated computing
+* [Nsight Python](https://docs.nvidia.com/nsight-python/index.html): Python kernel profiling interface that automates performance analysis across multiple kernel configurations using NVIDIA Nsight Tools
+* [CUPTI Python](https://docs.nvidia.com/cupti-python/): Python APIs for creation of profiling tools that target CUDA Python applications via the CUDA Profiling Tools Interface (CUPTI)
+
+CUDA Python is currently undergoing an overhaul to improve existing and introduce new components. All of the previously available functionality 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
 

cuda_python/DESCRIPTION.rst

@@ -7,25 +7,29 @@ cuda-python: Metapackage collection of CUDA Python subpackages
 
 CUDA Python is the home for accessing NVIDIA's CUDA platform from Python. It consists of multiple components:
 
-* `cuda.core <https://nvidia.github.io/cuda-python/cuda-core/latest>`_: Pythonic access to CUDA Runtime and other core functionalities
+* `cuda.core <https://nvidia.github.io/cuda-python/cuda-core/latest>`_: Pythonic access to CUDA Runtime and other core functionality
 * `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/python/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/python/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*
-* `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>`_.
-
-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.pathfinder <https://nvidia.github.io/cuda-python/cuda-pathfinder/latest>`_: Utilities for locating CUDA components installed in the user's Python environment
+* `cuda.coop <https://nvidia.github.io/cccl/python/coop>`_: A Python module providing CCCL's reusable block-wide and warp-wide *device* primitives for use within Numba CUDA kernels
+* `cuda.compute <https://nvidia.github.io/cccl/python/compute>`_: 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/>`_: A Python DSL that exposes CUDA **SIMT** programming model and compiles a restricted subset of Python code into CUDA kernels and device functions
+* `cuda.tile <https://docs.nvidia.com/cuda/cutile-python/>`_: A new Python DSL that exposes CUDA **Tile** programming model and allows users to write NumPy-like code in CUDA kernels
+* `nvmath-python <https://docs.nvidia.com/cuda/nvmath-python/latest>`_: Pythonic access to NVIDIA CPU & GPU Math Libraries, with `host <https://docs.nvidia.com/cuda/nvmath-python/latest/overview.html#host-apis>`_, `device <https://docs.nvidia.com/cuda/nvmath-python/latest/overview.html#device-apis>`_, and `distributed <https://docs.nvidia.com/cuda/nvmath-python/latest/distributed-apis/index.html>`_ 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>`_).
+* `nvshmem4py <https://docs.nvidia.com/nvshmem/api/api/language_bindings/python/index.html>`_: Pythonic interface to the NVSHMEM library, enabling Python applications to leverage NVSHMEM's high-performance PGAS (Partitioned Global Address Space) programming model for GPU-accelerated computing
+* `Nsight Python <https://docs.nvidia.com/nsight-python/index.html>`_: Python kernel profiling interface that automates performance analysis across multiple kernel configurations using NVIDIA Nsight Tools
+* `CUPTI Python <https://docs.nvidia.com/cupti-python/>`_: Python APIs for creation of profiling tools that target CUDA Python applications via the CUDA Profiling Tools Interface (CUPTI)
+
+CUDA Python is currently undergoing an overhaul to improve existing and introduce new components. All of the previously available functionality 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
 ============================
 
-``cuda-python`` is now a metapackage that contains a collection of subpackages. Each subpackage is versioned independently, allowing installation of each component as needed.
+``cuda-python`` is being restructured to become a metapackage that contains a collection of subpackages. Each subpackage is versioned independently, allowing installation of each component as needed.
 
 Subpackage: cuda.core
 ---------------------
 
-The ``cuda.core`` package offers idiomatic, pythonic access to CUDA Runtime and other functionalities.
+The ``cuda.core`` package offers idiomatic, pythonic access to CUDA Runtime and other functionality.
 
 The goals are to
 
@@ -40,7 +44,7 @@ Subpackage: cuda.bindings
 
 The ``cuda.bindings`` package is a standard set of low-level interfaces, providing full coverage of and access to the CUDA host APIs from Python.
 
-The list of available interfaces are:
+The list of available interfaces is:
 
 * CUDA Driver
 * CUDA Runtime

cuda_python/docs/source/conf.py

@@ -87,7 +87,4 @@
 .. _cuda.core: {CUDA_PYTHON_DOMAIN}/cuda-core/latest
 .. _cuda.bindings: {CUDA_PYTHON_DOMAIN}/cuda-bindings/latest
 .. _cuda.pathfinder: {CUDA_PYTHON_DOMAIN}/cuda-pathfinder/latest
-.. _cuda.cccl.cooperative: https://nvidia.github.io/cccl/python/cooperative
-.. _cuda.cccl.parallel: https://nvidia.github.io/cccl/python/parallel
-.. _numba.cuda: https://nvidia.github.io/numba-cuda/
 """

cuda_python/docs/source/index.rst

@@ -7,20 +7,33 @@ CUDA Python
 CUDA Python is the home for accessing NVIDIA's CUDA platform from Python. It consists of
 multiple components:
 
-- `cuda.core`_: Pythonic access to CUDA runtime and other core functionalities
+- `cuda.core`_: Pythonic access to CUDA Runtime and other core functionality
 - `cuda.bindings`_: Low-level Python bindings to CUDA C APIs
 - `cuda.pathfinder`_: Utilities for locating CUDA components installed in the user's Python environment
-- `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.
-* `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`_).
-
+- `cuda.coop`_: A Python module providing CCCL's reusable block-wide and warp-wide *device* primitives for use within Numba CUDA kernels
+- `cuda.compute`_: 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`_: A Python DSL that exposes CUDA **SIMT** programming model and compiles a restricted subset of Python code into CUDA kernels and device functions
+- `cuda.tile`_: A new Python DSL that exposes CUDA **Tile** programming model and allows users to write NumPy-like code in CUDA kernels
+- `nvmath-python`_: Pythonic access to NVIDIA CPU & GPU Math Libraries, with `host`_, `device`_, and `distributed`_ APIs. It also provides low-level Python bindings to host C APIs (`nvmath.bindings`_).
+- `nvshmem4py`_: Pythonic interface to the NVSHMEM library, enabling Python applications to leverage NVSHMEM's high-performance PGAS (Partitioned Global Address Space) programming model for GPU-accelerated computing
+- `Nsight Python`_: Python kernel profiling interface that automates performance analysis across multiple kernel configurations using NVIDIA Nsight Tools
+- `CUPTI Python`_: Python APIs for creation of profiling tools that target CUDA Python applications via the CUDA Profiling Tools Interface (CUPTI)
+
+.. _cuda.coop: https://nvidia.github.io/cccl/python/coop
+.. _cuda.compute: https://nvidia.github.io/cccl/python/compute
+.. _numba.cuda: https://nvidia.github.io/numba-cuda/
+.. _cuda.tile: https://docs.nvidia.com/cuda/cutile-python/
 .. _nvmath-python: https://docs.nvidia.com/cuda/nvmath-python/latest
-.. _nvmath.device: https://docs.nvidia.com/cuda/nvmath-python/latest/overview.html#device-apis
+.. _host: https://docs.nvidia.com/cuda/nvmath-python/latest/overview.html#host-apis
+.. _device: https://docs.nvidia.com/cuda/nvmath-python/latest/overview.html#device-apis
+.. _distributed: https://docs.nvidia.com/cuda/nvmath-python/latest/distributed-apis/index.html
 .. _nvmath.bindings: https://docs.nvidia.com/cuda/nvmath-python/latest/bindings/index.html
+.. _nvshmem4py: https://docs.nvidia.com/nvshmem/api/api/language_bindings/python/index.html
+.. _Nsight Python: https://docs.nvidia.com/nsight-python/index.html
+.. _CUPTI Python: https://docs.nvidia.com/cupti-python/
 
-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
+CUDA Python is currently undergoing an overhaul to improve existing and introduce new components.
+All of the previously available functionality from the ``cuda-python`` package will continue to
 be available, please refer to the `cuda.bindings`_ documentation for installation guide and further detail.
 
 ..
@@ -35,7 +48,11 @@ be available, please refer to the `cuda.bindings`_ documentation for installatio
    cuda.core <https://nvidia.github.io/cuda-python/cuda-core/latest>
    cuda.bindings <https://nvidia.github.io/cuda-python/cuda-bindings/latest>
    cuda.pathfinder <https://nvidia.github.io/cuda-python/cuda-pathfinder/latest>
-   cuda.cccl.cooperative <https://nvidia.github.io/cccl/python/cooperative>
-   cuda.cccl.parallel <https://nvidia.github.io/cccl/python/parallel>
+   cuda.coop <https://nvidia.github.io/cccl/python/coop>
+   cuda.compute <https://nvidia.github.io/cccl/python/compute>
    numba.cuda <https://nvidia.github.io/numba-cuda/>
+   cuda.tile <https://docs.nvidia.com/cuda/cutile-python/>
    nvmath-python <https://docs.nvidia.com/cuda/nvmath-python/>
+   nvshmem4py <https://docs.nvidia.com/nvshmem/api/api/language_bindings/python/index.html>
+   Nsight Python <https://docs.nvidia.com/nsight-python/index.html>
+   CUPTI Python <https://docs.nvidia.com/cupti-python/>