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

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第一作者： Nicholson,Collier

第一单位： Decision and Infrastructure Sciences, Argonne National Laboratory, Lemont, IL, U.S.A.

作者： Nicholson,Collier ^[1] ; Justin M,Wozniak ^[2] ; Abby,Stevens ^[1] ; Yadu,Babuji ^[3] ; Mickaël,Binois ^[4] ; Arindam,Fadikar ^[1] ; Alexandra,Würth ^[4] ; Kyle,Chard ^[3] ; Jonathan,Ozik ^[1]

作者单位： Decision and Infrastructure Sciences, Argonne National Laboratory, Lemont, IL, U.S.A. ^[1] Data Science and Learning, Argonne National Laboratory, Lemont, IL, U.S.A. ^[2] Computer Science, University of Chicago, Chicago, IL, U.S.A. ^[3] Acumes project-team, Inria centre at Université Côte d'Azur, Sophia Antipolis, France. ^[4]

关键词 HPC workflows computational epidemiology high-performance computing open science platform

DOI 10.1109/ipdpsw59300.2023.00143

PMID 39991121

发布时间 2025-02-26

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IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum

2023年2023卷

868-877页

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IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum

2023年2023卷

868-877页

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

IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum

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

IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum

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IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum

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