Novel Proposals for FAIR, Automated, Recommendable, and Robust Workflows

Abhinit, Ishan; Adams, Emily K.; Alam, Khairul; Chase, Brian; Deelman, Ewa; Gorenstein, Lev; Hudson, Stephen; Islam, Tanzima; Larson, Jeffrey; Lentner, Geoffrey; Mandal, Anirban; Navarro, John-Luke; Nicolae, Bogdan; Pouchard, Line; Ross, Rob; Roy, Banani; Rynge, Mats; Serebrenik, Alexander; Vahi, Karan; Wild, Stefan; Xin, Yufeng; da Silva, Rafael Ferreira; Filgueira, Rosa

doi:10.1109/WORKS56498.2022.00016

Novel Proposals for FAIR, Automated, Recommendable, and Robust Workflows

Conference · Sat Jan 01 04:00:00 EST 2022

DOI:https://doi.org/10.1109/WORKS56498.2022.00016· OSTI ID:1958760

Abhinit, Ishan; Adams, Emily K.; Alam, Khairul; Chase, Brian; Deelman, Ewa; Gorenstein, Lev; Hudson, Stephen; Islam, Tanzima; Larson, Jeffrey; Lentner, Geoffrey; Mandal, Anirban; Navarro, John-Luke; Nicolae, Bogdan; Pouchard, Line; Ross, Rob; Roy, Banani; Rynge, Mats; Serebrenik, Alexander; Vahi, Karan; Wild, Stefan more »

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.

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Research Organization:: Argonne National Laboratory (ANL)

Sponsoring Organization:: USDOE Office of Science; National Science Foundation (NSF); USDOE Exascale Computing Project (ECP)

DOE Contract Number:: AC02-06CH11357

OSTI ID:: 1958760

Country of Publication:: United States

Language:: English

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