Scientific workflows are used almost universally across science domains for solving complex and largescale computing and data analysis problems. (ORNL), Oak Ridge, TN (United States) Sponsoring Org.: USDOE OSTI Identifier: 1837860 DOE Contract Number: AC05-00OR22725 Resource Type: Conference Resource Relation: Conference: 16th Workshop on Workflows in Support of Large-Scale Science (WORKS) - St Louis, Minnesota, United States of America - 10:00:00 AM- 10:00:00 AM Country of Publication: United States Language: = , Publication Date: Research Org.: Oak Ridge National Lab.
University of Southern California, Information Sciences Institute.Lawrence Livermore National Laboratory (LLNL).University of Illinois at Urbana-Champaign.University of Manchester University, UK.Universidad Politecnica de Madrid, Spain.University of Southern California, Los Angeles.AGH University of Science and Technology, Krakow, Poland.University of Hawaii at Manoa, Honolulu.We summarize discussions and recommendations for each of these themes. 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.
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. This paper reports on discussions and findings from two virtual “Workflows Community Summits” (January and April, 2021). 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. 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.
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