The divide-and-conquer framework: a suitable setting for domain decomposition methods of the future

This paper was prompted by numerical experiments we performed, in which algorithms that Ismael Herrera Research Group previously developed (the DVS-BDDC) and are already available in the literature, yielded accelerations (or, speedups) many times larger (more than seventy in some examples already tr...

Descripción completa

Detalles Bibliográficos
Autores: Ismael Herrera-Revilla, Iván Contreras, Graciela S. Herrera
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2020
País:México
Institución:Universidad Nacional Autónoma de México
Repositorio:Redalyc-UNAM
OAI Identifier:oai:redalyc.org:56872303003
Acceso en línea:https://www.redalyc.org/articulo.oa?id=56872303003
https://www.redalyc.org/journal/568/56872303003/
https://www.redalyc.org/journal/568/56872303003/html/
https://www.redalyc.org/journal/568/56872303003/56872303003.epub
https://www.redalyc.org/journal/568/56872303003/movil
Access Level:acceso abierto
Palabra clave:Ciencias de la Tierra
DDM
DVS
divide and conquer
parallel computation
ideal parallel speedup
Descripción
Sumario:This paper was prompted by numerical experiments we performed, in which algorithms that Ismael Herrera Research Group previously developed (the DVS-BDDC) and are already available in the literature, yielded accelerations (or, speedups) many times larger (more than seventy in some examples already treated, but probably often much larger) than the number of processors used. Based on such outstanding results, this paper shows that believing that the ideal speedup is equal to the number of processors, has limited the performance-goal sought by researchers on domain decomposition methods (DDM) and has hindered much its development, thus far. Hence, an improved theory in which the speedup goal is based on the Divide and Conquer algorithmic paradigm, frequently considered as the leitmotiv of domain decomposition methods, is proposed as a suitable setting for the DDM of the future.