Space-time parallel methods for evolutionary reaction-diffusion problems
Fecha
2023Versión
Acceso abierto / Sarbide irekia
Tipo
Contribución a congreso / Biltzarrerako ekarpena
Versión
Versión aceptada / Onetsi den bertsioa
Identificador del proyecto
Impacto
|
10.1007/978-3-030-95025-5_70
Resumen
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. ...
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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. [--]
Materias
Parareal algorithm,
Splitting methods,
Parallelization
Editor
Springer
Publicado 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). Cham: Springer International Publishing; 2023. p.643-651 978-3-030-95024-8
Departamento
Universidad Pública de Navarra. Departamento de Estadística, Informática y Matemáticas /
Nafarroako Unibertsitate Publikoa. Estatistika, Informatika eta Matematika Saila /
Universidad Pública de Navarra/Nafarroako Unibertsitate Publikoa. Institute for Advanced Materials and Mathematics - INAMAT2
Versión del editor
Entidades Financiadoras
The work of Andrés Arrarás and Carmen Rodrigo was supported by the Spanish State Research Agency under project PGC2018-099536-A-I00 (MCIU/AEI/FEDER, UE). The work of Francisco J. Gaspar and Laura Portero was supported by the Spanish State Research Agency under project PID2019-105574GB-I00 (AEI/10.13039/501100011033).