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The digital revolution of Earth-system science.
Bauer, Peter; Dueben, Peter D; Hoefler, Torsten; Quintino, Tiago; Schulthess, Thomas C; Wedi, Nils P.
Afiliação
  • Bauer P; Research Department, ECMWF, Reading, UK. peter.bauer@ecmwf.int.
  • Dueben PD; Research Department, ECMWF, Reading, UK.
  • Hoefler T; Computer Science Department, ETH Zürich, Zürich, Switzerland.
  • Quintino T; Forecast Department, ECMWF, Reading, UK.
  • Schulthess TC; CSCS, ETH Zürich, Lugano, Switzerland.
  • Wedi NP; Research Department, ECMWF, Reading, UK.
Nat Comput Sci ; 1(2): 104-113, 2021 Feb.
Article em En | MEDLINE | ID: mdl-38217224
ABSTRACT
Computational science is crucial for delivering reliable weather and climate predictions. However, despite decades of high-performance computing experience, there is serious concern about the sustainability of this application in the post-Moore/Dennard era. Here, we discuss the present limitations in the field and propose the design of a novel infrastructure that is scalable and more adaptable to future, yet unknown computing architectures.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article