Lessons learned from urgent computing in Europe: Tackling the COVID-19 pandemic
| Autor: | Thomas Lippert, Serge Bogaerts, Philippe Lavocat, Laura Grigori, Janne Ignatius, Matej Praprotnik, Florian Berberich, Gabriella Scipione, Núria López, Michael Resch, Maria Grazia Giuffreda, Catarina Simões, Dieter Kranzlmüller, Oriol Pineda, Marc Baaden, Luigi Del Debbio, S. Girona, Thomas C. Schulthess |
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| Přispěvatelé: | Barcelona Supercomputing Center, Institute of Chemical Research of Catalonia (ICIQ), Partnership for Advanced Computing in Europe (PRACE), University of Edinburgh, Laboratoire de biochimie théorique [Paris] (LBT (UPR_9080)), Institut de biologie physico-chimique (IBPC (FR_550)), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS), Algorithms and parallel tools for integrated numerical simulations (ALPINES), Institut National des Sciences Mathématiques et de leurs Interactions (INSMI)-Inria de Paris, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire Jacques-Louis Lions (LJLL (UMR_7598)), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Jülich Supercomputing Centre (JSC), Forschungszentrum Jülich GmbH | Centre de recherche de Juliers, Helmholtz-Gemeinschaft = Helmholtz Association-Helmholtz-Gemeinschaft = Helmholtz Association, Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP) |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Economic growth
2019-20 coronavirus outbreak Coronavirus disease 2019 (COVID-19) Medical Informatics Computing Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) COVID-19 pandemic PRACE COVID-19 fast track Crisis management Urgent computing COVID-19 (Malaltia) 03 medical and health sciences Partnership for Advanced Computing in Europe 0302 clinical medicine COVID-19 (Disease) Supercomputadors Political science Simulació per ordinador Pandemic Humans [INFO]Computer Science [cs] Informàtica::Aspectes socials [Àrees temàtiques de la UPC] High-performance computing 030304 developmental biology 0303 health sciences Multidisciplinary Information Dissemination Computer Sciences Pillar COVID-19 Biological Sciences Europe Biophysics and Computational Biology 030220 oncology & carcinogenesis General partnership Perspective Physical Sciences ddc:500 High performance computing Information Systems |
| Zdroj: | UPCommons. Portal del coneixement obert de la UPC Universitat Politècnica de Catalunya (UPC) Proceedings of the National Academy of Sciences of the United States of America Proceedings of the National Academy of Sciences of the United States of America, 2021, 118 (46), pp.e2024891118. ⟨10.1073/pnas.2024891118⟩ Proceedings of the National Academy of Sciences of the United States of America 118(46), e2024891118-(2021). doi:10.1073/pnas.2024891118 Proceedings of the National Academy of Sciences of the United States of America, National Academy of Sciences, 2021, 118 (46), pp.e2024891118. ⟨10.1073/pnas.2024891118⟩ |
| ISSN: | 0027-8424 1091-6490 |
| DOI: | 10.1073/pnas.2024891118⟩ |
| Popis: | PRACE (Partnership for Advanced Computing in Europe), an international not-for-profit association that brings together the five largest European supercomputing centers and involves 26 European countries, has allocated more than half a billion core hours to computer simulations to fight the COVID-19 pandemic. Alongside experiments, these simulations are a pillar of research to assess the risks of different scenarios and investigate mitigation strategies. While the world deals with the subsequent waves of the pandemic, we present a reflection on the use of urgent supercomputing for global societal challenges and crisis management. Peer Reviewed "Article signat per 18 autors/es: Núria López, Luigi Del Debbio, Marc Baaden, Matej Praprotnik, Laura Grigori, Catarina Simões, Serge Bogaerts, Florian Berberich, Thomas Lippert, Janne Ignatius, Philippe Lavocat, Oriol Pineda, Maria Grazia Giuffreda, Sergi Girona, Dieter Kranzlmüller, Michael M. Resch, Gabriella Scipione, and Thomas Schulthess" |
| Databáze: | OpenAIRE |
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