diff --git a/README.md b/README.md index 243669b69ee..782f04269ad 100644 --- a/README.md +++ b/README.md @@ -5,7 +5,6 @@ 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 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.coop](https://nvidia.github.io/cccl/unstable/python/coop.html): 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/unstable/python/compute/index.html): 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-mlir](https://nvidia.github.io/numba-cuda-mlir/): An evolution of Numba CUDA that improves upon its technical foundation and performance to provide the future of CUDA Python JIT compilation. It currently supports developing CUDA **SIMT** kernels in Python, providing Python bindings for accelerated device libraries, and serving as a compiler for user-defined functions in accelerated libraries. * [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 diff --git a/cuda_python/DESCRIPTION.rst b/cuda_python/DESCRIPTION.rst index d50092616ad..3f0a92b5af6 100644 --- a/cuda_python/DESCRIPTION.rst +++ b/cuda_python/DESCRIPTION.rst @@ -10,7 +10,6 @@ CUDA Python is the home for accessing NVIDIA's CUDA platform from Python. It con * `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.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-mlir `_: An evolution of Numba CUDA that improves upon its technical foundation and performance to provide the future of CUDA Python JIT compilation. It currently supports developing CUDA **SIMT** kernels in Python, providing Python bindings for accelerated device libraries, and serving as a compiler for user-defined functions in accelerated libraries. * `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 diff --git a/cuda_python/docs/source/index.rst b/cuda_python/docs/source/index.rst index 55ef45255ad..472a9bee90f 100644 --- a/cuda_python/docs/source/index.rst +++ b/cuda_python/docs/source/index.rst @@ -10,7 +10,6 @@ multiple components: - `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.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-mlir`_: An evolution of Numba CUDA that improves upon its technical foundation and performance to provide the future of CUDA Python JIT compilation. It currently supports developing CUDA **SIMT** kernels in Python, providing Python bindings for accelerated device libraries, and serving as a compiler for user-defined functions in accelerated libraries. - `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 @@ -21,7 +20,6 @@ multiple components: - `CUPTI Python`_: Python APIs for creation of profiling tools that target CUDA Python applications via the CUDA Profiling Tools Interface (CUPTI) - `Accelerated Computing Hub`_: Open-source learning materials related to GPU computing. You will find user guides, tutorials, and other works freely available for all learners interested in GPU computing. -.. _cuda.coop: https://nvidia.github.io/cccl/unstable/python/coop.html .. _cuda.compute: https://nvidia.github.io/cccl/unstable/python/compute/index.html .. _numba-cuda-mlir: https://nvidia.github.io/numba-cuda-mlir/ .. _numba.cuda: https://nvidia.github.io/numba-cuda/ @@ -52,7 +50,6 @@ be available, please refer to the `cuda.bindings`_ documentation for installatio cuda.core cuda.bindings cuda.pathfinder - cuda.coop cuda.compute numba-cuda-mlir numba.cuda