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PyOpenCL download for Linux

Free download PyOpenCL Linux app to run online in Ubuntu online, Fedora online or Debian online

This is the Linux app named PyOpenCL whose latest release can be downloaded as v2025.2.4sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.

Download and run online this app named PyOpenCL with OnWorks for free.

Follow these instructions in order to run this app:

- 1. Downloaded this application in your PC.

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- 3. Upload this application in such filemanager.

- 4. Start the OnWorks Linux online or Windows online emulator or MACOS online emulator from this website.

- 5. From the OnWorks Linux OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.

- 6. Download the application, install it and run it.

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PyOpenCL


DESCRIPTION

PyOpenCL is a Python wrapper for the OpenCL framework, providing seamless access to parallel computing on CPUs, GPUs, and other accelerators. It enables developers to harness the full power of heterogeneous computing directly from Python, combining Python’s ease of use with the performance benefits of OpenCL. PyOpenCL also includes convenient features for managing memory, compiling kernels, and interfacing with NumPy, making it a preferred choice in scientific computing, data analysis, and machine learning workflows that demand acceleration.



Features

  • Full access to OpenCL API from Python
  • Automatic resource and memory management
  • Seamless integration with NumPy arrays
  • Supports multiple platforms and OpenCL devices
  • Compiles and runs OpenCL kernels directly from Python
  • Includes profiling and debugging utilities
  • Works with PyCUDA and other GPU computing libraries
  • Cross-platform support for Windows, Linux, and macOS
  • Extensive documentation and active scientific community


Programming Language

Python


Categories

Libraries

This is an application that can also be fetched from https://sourceforge.net/projects/pyopencl.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.


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