Novel proposals for FAIR, automated, recommendable, and robust workflows
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.
Citation
Abhinit , I , Adams , E K , Alam , K , Chase , B , Deelman , E , Gorenstein , L , Hudson , S , Islam , T , Larson , J , Lentner , G , Mandal , A , Navarro , J-L , Nicolae , B , Pouchard , L , Ross , R , Roy , B , Rynge , M , Serebrenik , A , Vahi , K , Wild , S , Xin , Y , Ferreira da Silva , R & Filgueira , R 2022 , Novel proposals for FAIR, automated, recommendable, and robust workflows . in 2022 IEEE/ACM Workshop on Workflows in Support of Large-Scale Science (WORKS) . , 10023942 , IEEE , pp. 84-92 , 17th Workshop on Workflows in Support of Large-Scale Science , Dallas , Texas , United States , 14/11/22 . https://doi.org/10.1109/works56498.2022.00016 workshop
Publication
2022 IEEE/ACM Workshop on Workflows in Support of Large-Scale Science (WORKS)
Type
Conference item
Description
Funding: This work is partly funded by NSF award OAC-1839900. This material is based upon work supported by the U.S. Department of Energy, Office of Science, under contract number DE-AC02-06CH11357. libEnsemble was developed as part of the Exascale Computing Project (17-SC-20-SC), a collaborative effort of the U.S. Department of Energy Office of Science and the National Nuclear Security Administration. This research used resources of the OLCF at ORNL, which is supported by the Office of Science of the U.S. DOE under Contract No. DE-AC05-00OR22725.Collections
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