Abstract
Lightning talks of the Workflows in Support of Large-Scale Science (WORKS) workshop are a venue where the workflow community (researchers, developers, and users) can discuss work in progress, emerging technologies and frameworks, and training and education materials. This paper summarizes the WORKS 2022 lightning talks, which cover five broad topics: data integrity of scientific workflows; a machine learning-based recommendation system; a Python toolkit for running dynamic ensembles of simulations; a cross-platform, high-performance computing utility for processing shell commands; and a meta(data) framework for reproducing hybrid workflows.
Original language | English |
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Title of host publication | 2022 IEEE/ACM Workshop on Workflows in Support of Large-Scale Science (WORKS) |
Publisher | IEEE |
Pages | 84-92 |
Number of pages | 9 |
ISBN (Electronic) | 9781665451918 |
ISBN (Print) | 9781665451925 |
DOIs | |
Publication status | Published - 13 Nov 2022 |
Event | 17th Workshop on Workflows in Support of Large-Scale Science: held in conjunction with Super Computing 2022 (SC22) - Dallas, TX, USA , Dallas, United States Duration: 14 Nov 2022 → 14 Nov 2022 Conference number: 17 https://works-workshop.org/ |
Workshop
Workshop | 17th Workshop on Workflows in Support of Large-Scale Science |
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Abbreviated title | WORKS |
Country/Territory | United States |
City | Dallas |
Period | 14/11/22 → 14/11/22 |
Internet address |
Keywords
- Scientific workflows
- FAIR principles
- High performance computing
- Data integrity
- Ensembles
- Machine learning