Developing Distributed High-performance Computing Capabilities of an Open Science Platform for Robust Epidemic Analysis

COVID-19 had an unprecedented impact on scientific collaboration. The pandemic and its broad response from the scientific community has forged new relationships among domain experts, mathematical modelers, and scientific computing specialists. Computationally, however, it also revealed critical gaps...

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Bibliographic Details

Published in:	2023 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) Vol. 2023; pp. 868 - 877
Main Authors:	Collier, Nicholson, Wozniak, Justin M., Stevens, Abby, Babuji, Yadu, Binois, Mickael, Fadikar, Arindam, Wurth, Alexandra, Chard, Kyle, Ozik, Jonathan
Format:	Conference Proceeding Journal Article
Language:	English
Published:	United States IEEE 01.05.2023
Subjects:	computational epidemiology Computational modeling COVID-19 High performance computing HPC workflows Mathematical models open science platform Pandemics Prototypes Scientific computing computational epidemiology HPC workflows open science platform high-performance computing
ISSN:	2164-7062
Online Access:	Get full text
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