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Sustaining Parsl: Enabling Extreme-Scale Biomedicine

Legacy EOSS

2022

Proposal Summary

To enable the biomedical community to more easily use large-scale computing to efficiently run complex workflows via Parsl.


Parsl

The Parsl programming library is designed to enable the implementation of parallel programs and workflows in Python and the portable execution of those programs on different computers, from laptops to million-core supercomputers. This project seeks to make Parsl more sustainable and to ensure that its capabilities are easily usable by the biomedical community by transitioning Parsl to be community-governed. The project will also support ongoing maintenance and development, as well as conduct training and outreach to expand Parsl’s reach.

Project Team

Kyle Chard Github

University of Chicago

Daniel S. Katz Github

University of Illinois Urbana Champaign

Ben Clifford Github

CQX Limited

Yadu Babuji Github

University of Chicago