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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Veröffentlicht in:	2023 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) Jg. 2023; S. 868 - 877
Hauptverfasser:	Collier, Nicholson, Wozniak, Justin M., Stevens, Abby, Babuji, Yadu, Binois, Mickael, Fadikar, Arindam, Wurth, Alexandra, Chard, Kyle, Ozik, Jonathan
Format:	Tagungsbericht Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.05.2023
Schlagworte:	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-Zugang:	Volltext
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