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Recovery-Restart Techniques for Resilient Krylov Methods

Abstract : he advent of extreme scale machines will require the use of parallel resources at an unprecedented scale, possibly leading to a high rate of hardware faults. In this presentation, we investigate recovery followed by restarting strategies for the resilience of Krylov subspace linear solvers as well as of eigensolvers.
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https://hal.inria.fr/hal-01062232
Contributor : Mawussi Zounon Connect in order to contact the contributor
Submitted on : Tuesday, September 9, 2014 - 2:46:59 PM
Last modification on : Thursday, October 7, 2021 - 3:20:12 PM

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  • HAL Id : hal-01062232, version 1

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Emmanuel Agullo, Luc Giraud, Salas Pablo, Mawussi Zounon. Recovery-Restart Techniques for Resilient Krylov Methods. SIAM Conference on Parallel Processing for Scientific Computing (SIAM PP 2014), Feb 2014, Portland, United States. ⟨hal-01062232⟩

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