A Community Roadmap for Scientific Workflows Research and Development

Rafael Ferreira Da Silva, Henri Casanova, Kyle Chard, Ilkay Altintas, Rosa M. Badia, Bartosz Balis, Taina Coleman, Frederik Coppens, Frank Di Natale, Bjoern Enders, Thomas Fahringer, Rosa Filgueira, Grigori Fursin, Daniel Garijo, Carole Goble, Dorran Howell, Shantenu Jha, Daniel S. Katz, Daniel Laney, Ulf LeserMacIej Malawski, Kshitij Mehta, Loic Pottier, Jonathan Ozik, J. Luc Peterson, Lavanya Ramakrishnan, Stian Soiland-Reyes, Douglas Thain, Matthew Wolf

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

22 Scopus citations

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 languageEnglish
Title of host publicationProceedings of WORKS 2021
Subtitle of host publication16th 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
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages81-90
Number of pages10
ISBN (Electronic)9781665411363
DOIs
StatePublished - 2021
Event16th IEEE Workshop on Workflows in Support of Large-Scale Science, WORKS 2021 - St. Louis, United States
Duration: Nov 15 2021 → …

Publication series

NameProceedings 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

Conference

Conference16th IEEE Workshop on Workflows in Support of Large-Scale Science, WORKS 2021
Country/TerritoryUnited States
CitySt. Louis
Period11/15/21 → …

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.

FundersFunder number
National Science Foundation17-SC-20-SC, 2016682, 2016619, 2016610
U.S. Department of Energy
Office of Science
National Nuclear Security Administration-AC05-00OR22725

    Keywords

    • AI workflows
    • Community roadmap
    • Data management
    • Exascale computing
    • Interoperability
    • Scientific workflows

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