Space-time parallel methods for evolutionary reaction-diffusion problems

Date

2023

Authors

Director

Publisher

Springer
Acceso abierto / Sarbide irekia
Contribución a congreso / Biltzarrerako ekarpena
Versión aceptada / Onetsi den bertsioa

Project identifier

  • AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PGC2018-099536-A-I00/ES/ recolecta
  • AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-105574GB-I00/ES/ recolecta
Impacto
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No disponible en Scopus

Abstract

In recent years, the gradual saturation of parallelization in space has been a strongmotivation for the design and analysis of new parallel-in-time algorithms. Amongthese methods, the parareal algorithm, first introduced by Lions, Maday and Turinici[9], has received significant attention.

Description

Keywords

Parareal algorithm, Splitting methods, Parallelization

Department

Estadística, Informática y Matemáticas / Estatistika, Informatika eta Matematika / Institute for Advanced Materials and Mathematics - INAMAT2

Faculty/School

Degree

Doctorate program

item.page.cita

Arrarás, A., Gaspar, F. J., Portero, L., Rodrigo, C. (2023) Space-time parallel methods for evolutionary reaction-diffusion problems. En Brenner, S. C., Chung, E., Klawonn, A., Kwok, F., Xu, J., Zou J. (Eds.), Domain Decomposition Methods in Science and Engineering XXVI (Proceedings of the 26th International Conference on Domain Decomposition Methods) (pp. 643-651). Springer International Publishing. https://doi.org/10.1007/978-3-030-95025-5_70.

item.page.rights

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

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