Mixed Materials
An efficient GPU version of the preconditioned GMRES method
| Τίτλος: | An efficient GPU version of the preconditioned GMRES method |
|---|---|
| Συγγραφείς: | Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors, Aliaga, Jose I., Dufrechou, Ernesto, Ezzatti, Pablo, Quintana-Orti, Enrique S. |
| Στοιχεία εκδότη: | Springer-Verlag Hispana 2019-03 |
| Τύπος εγγράφου: | Mixed materials |
| Περίληψη: | [EN] In a large number of scientific applications, the solution of sparse linear systems is the stage that concentrates most of the computational effort. This situation has motivated the study and development of several iterative solvers, among which preconditioned Krylov subspace methods occupy a place of privilege. In a previous effort, we developed a GPU-aware version of the GMRES method included in ILUPACK, a package of solvers distinguished by its inverse-based multilevel ILU preconditioner. In this work, we study the performance of our previous proposal and integrate several enhancements in order to mitigate its principal bottlenecks. The numerical evaluation shows that our novel proposal can reach important run-time reductions. |
| Όροι ευρετηρίου: | GPUs, GMRES, Sparse triangular solver, MGSO, ARQUITECTURA Y TECNOLOGIA DE COMPUTADORES, info:eu-repo/semantics/article |
| Σύνδεσμος: | |
| Διαθεσιμότητα: | Open access content. Open access content http://rightsstatements.org/vocab/InC/1.0 info:eu-repo/semantics/openAccess |
| Σημείωση: | TEXT English |
| Other Numbers: | UPV oai:riunet.upv.es:10251/160601 urn:issn:0920-8542 info:doi:10.1007/s11227-018-2658-1 https://riunet.upv.es/bitstream/10251/160601/8/Aliaga;Dufrechou;Ezzatti - An efficient GPU version of the preconditioned GMRES method.pdf.jpg 1258890671 |
| Πηγή συνεισφοράς: | UNIVERSITAT POLITECNICA DE VALENCIA From OAIster®, provided by the OCLC Cooperative. |
| Αριθμός Καταχώρησης: | edsoai.on1258890671 |
| Βάση Δεδομένων: | OAIster |
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