Resilience and fault tolerance in high-performance computing for numerical weather and climate prediction

Progress in numerical weather and climate prediction accuracy greatly depends on the growth of the available computing power. As the number of cores in top computing facilities pushes into the millions, increased average frequency of hardware and software failures forces users to review their algori...

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Bibliographic Details

Main Authors:	Tommaso Benacchio, Luca Bonaventura, Mirco Altenbernd, Chris D Cantwell, Peter D Düben, Mike Gillard, Luc Giraud, Dominik Göddeke, Erwan Raffin, Keita Teranishi, Nils Wedi
Format:	Default Article
Published:	2021
Subjects:	Distributed computing and systems software not elsewhere classified fault-tolerant computing high-performance computing application-level resilience numerical weather prediction iterative solvers Distributed Computing
Online Access:	https://hdl.handle.net/2134/14604597.v1
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