Abstract
The landscape of workflow systems for scientific applications is notoriously convoluted with hundreds of seemingly equivalent workflow systems, many isolated research claims, and a steep learning curve. To address some of these challenges and lay the groundwork for transforming workflows research and development, the WorkflowsRI and ExaWorks projects partnered to bring the international workflows community together. This paper reports on discussions and findings from two virtual 'Workflows Community Summits' (January and April, 2021). The overarching goals of these workshops were to develop a view of the state of the art, identify crucial research challenges in the workflows community, articulate a vision for potential community efforts, and discuss technical approaches for realizing this vision. To this end, participants identified six broad themes: FAIR computational workflows; AI workflows; exascale challenges; APIs, interoperability, reuse, and standards; training and education; and building a workflows community. We summarize discussions and recommendations for each of these themes.
Original language | English |
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Title of host publication | Proceedings of WORKS 2021 |
Subtitle of host publication | 16th Workshop on Workflows in Support of Large-Scale Science, Held in conjunction with SC 2021: The International Conference for High Performance Computing, Networking, Storage and Analysis |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 81-90 |
Number of pages | 10 |
ISBN (Electronic) | 9781665411363 |
DOIs | |
State | Published - 2021 |
Event | 16th IEEE Workshop on Workflows in Support of Large-Scale Science, WORKS 2021 - St. Louis, United States Duration: Nov 15 2021 → … |
Publication series
Name | Proceedings of WORKS 2021: 16th Workshop on Workflows in Support of Large-Scale Science, Held in conjunction with SC 2021: The International Conference for High Performance Computing, Networking, Storage and Analysis |
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Conference
Conference | 16th IEEE Workshop on Workflows in Support of Large-Scale Science, WORKS 2021 |
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Country/Territory | United States |
City | St. Louis |
Period | 11/15/21 → … |
Funding
This work was funded by NSF awards #2016610, #2016682, and #2016619, and by the Exascale Computing Project (17-SC-20-SC), a collaborative effort of the U.S. Department of Energy (DOE) Office of Science and the National Nuclear Security Administration (NNSA). This research used resources of the Oak Ridge Leadership Computing Facility at the Oak Ridge National Laboratory, which is supported by the Office of Science of the U.S. DOE under Contract #DE-AC05-00OR22725.
Keywords
- AI workflows
- Community roadmap
- Data management
- Exascale computing
- Interoperability
- Scientific workflows