A Deep Dive into Task-Based Parallelism in Python

Modern Python programs in high-performance computing call into compiled libraries and kernels for performance-critical tasks. However, effectively parallelizing these finer-grained, and often dynamic, kernels across modern heterogeneous platforms remains a challenge. First, we perform an experimenta...

Full description

Bibliographic Details

Published in:	2024 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) pp. 1147 - 1149
Main Authors:	Ruys, William, Lee, Hochan, You, Bozhi, Talati, Shreya, Park, Jaeyoung, Almgren-Bell, James, Yan, Yineng, Fernando, Milinda, Biros, George, Erez, Mattan, Burtscher, Martin, Rossbach, Christopher J., Pingali, Keshav, Gligoric, Milos
Format:	Conference Proceeding
Language:	English
Published:	IEEE 27.05.2024
Subjects:	heterogeneous computing High performance computing Libraries Parallel processing parallel programming Performance evaluation Processor scheduling Programming Python Runtime task runtime
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!