Mostrar el registro sencillo del ítem
Communication in task-parallel ILU-preconditioned CG solversusing MPI + OmpSs
dc.contributor.author | Aliaga Estellés, José Ignacio | |
dc.contributor.author | Barreda Vayá, Maria | |
dc.contributor.author | Flegar, Goran | |
dc.contributor.author | Bollhöffer, Matthias | |
dc.contributor.author | Quintana-Orti, Enrique S. | |
dc.date.accessioned | 2018-01-09T10:29:32Z | |
dc.date.available | 2018-01-09T10:29:32Z | |
dc.date.issued | 2017-11-10 | |
dc.identifier.citation | ALIAGA, José I., et al. Communication in task‐parallel ILU‐preconditioned CG solvers using MPI+ OmpSs. Concurrency and Computation: Practice and Experience, 2017, vol. 29, no 21. | ca_CA |
dc.identifier.issn | 1532-0626 | |
dc.identifier.issn | 1532-0634 | |
dc.identifier.uri | http://hdl.handle.net/10234/171616 | |
dc.description.abstract | We target the parallel solution of sparse linear systems via iterative Krylov subspace–based methods enhanced with incomplete LU (ILU)-type preconditioners on clusters of multicore processors. In order to tackle large-scale problems, we develop task-parallel implementations of the classical iteration for the CG method, accelerated via ILUPACK and ILU(0) preconditioners, using MPI + OmpSs. In addition, we integrate several communication-avoiding strategies into the codes, including the butterfly communication scheme and Eijkhout's formulation of the CG method. For all these implementations, we analyze the communication patterns and perform a comparative analysis of their performance and scalability on a cluster consisting of 16 nodes, with 16 cores each. | ca_CA |
dc.format.extent | 18 p. | ca_CA |
dc.format.mimetype | application/pdf | ca_CA |
dc.language.iso | eng | ca_CA |
dc.publisher | Wiley | ca_CA |
dc.rights | Copyright © John Wiley & Sons, Ltd. | ca_CA |
dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | * |
dc.subject | ILUPACK | ca_CA |
dc.subject | incomplete LU (ILU) preconditioner | ca_CA |
dc.subject | Krylov subspace methods | ca_CA |
dc.subject | MPI | ca_CA |
dc.subject | OmpSs | ca_CA |
dc.subject | sparse linear systems | ca_CA |
dc.subject | task-parallelism | ca_CA |
dc.title | Communication in task-parallel ILU-preconditioned CG solversusing MPI + OmpSs | ca_CA |
dc.type | info:eu-repo/semantics/article | ca_CA |
dc.identifier.doi | http://dx.doi.org/10.1002/cpe.4280 | |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | ca_CA |
dc.relation.publisherVersion | Concurrency and Computation: Practice and Experience, 2017, vol. 29, no 21 | ca_CA |
dc.date.embargoEndDate | 2018-11-10 | |
dc.contributor.funder | FEDER / TIN2014-53495-R; Universitat Jaume I / P1-1B2015-26; H2020 EU FETHPC / 671602; Ministerio de Educacion Cultura y Deporte / FPU12/03105; MINECO | ca_CA |
dc.type.version | info:eu-repo/semantics/acceptedVersion | ca_CA |
Ficheros en el ítem
Este ítem aparece en la(s) siguiente(s) colección(ones)
-
ICC_Articles [420]