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...

Celý popis

Podrobná bibliografia

Vydané v:	2023 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) Ročník 2023; s. 868 - 877
Hlavní autori:	Collier, Nicholson, Wozniak, Justin M., Stevens, Abby, Babuji, Yadu, Binois, Mickael, Fadikar, Arindam, Wurth, Alexandra, Chard, Kyle, Ozik, Jonathan
Médium:	Konferenčný príspevok.. Journal Article
Jazyk:	English
Vydavateľské údaje:	United States IEEE 01.05.2023
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!