Treffer: PyOMP: Parallel programming for CPUs and GPUs with OpenMP and Python
Title:
PyOMP: Parallel programming for CPUs and GPUs with OpenMP and Python
Authors:
Publisher Information:
Zenodo
Publication Year:
2024
Collection:
Zenodo
Subject Terms:
Document Type:
Video
moving image (video)
Language:
English
Relation:
https://zenodo.org/communities/hppss/; https://zenodo.org/records/14006515; oai:zenodo.org:14006515; https://doi.org/10.5281/zenodo.14006515
DOI:
10.5281/zenodo.14006515
Rights:
Creative Commons Attribution 4.0 International ; cc-by-4.0 ; https://creativecommons.org/licenses/by/4.0/legalcode
Accession Number:
edsbas.EB42F3BE
Database:
BASE
Weitere Informationen
PyOMP brings the power of OpenMP parallel programming to Python, enabling high-performance computing on both CPUs and GPUs through seamless integration with Numba’s JIT compilation. Designed to make parallelizing complex algorithms intuitive, PyOMP opens up robust, efficient parallelism right from Python. In this short demo, we’ll walk through installing PyOMP and dive into a few examples that showcase how to use PyOMP to effortlessly achieve parallel performance in your code.