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Lessons learned from urgent computing in Europe: Tackling the COVID-19 pandemic.

Nuria LópezLuigi Del DebbioMarc BaadenMatej PraprotnikLaura GrigoriCatarina SimõesSerge BogaertsFlorian BerberichThomas LippertJanne IgnatiusPhilippe LavocatOriol PinedaMaria Grazia GiuffredaSergi GironaDieter KranzlmüllerMichael M ReschGabriella ScipioneThomas Schulthess
Published in: Proceedings of the National Academy of Sciences of the United States of America (2021)
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.
Keyphrases
  • climate change
  • molecular dynamics
  • monte carlo
  • sars cov
  • coronavirus disease
  • human health
  • public health
  • deep learning
  • machine learning