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Variable-size batched Gauss-Jordan elimination for block-Jacobi preconditioning on graphics processors

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Variable-size batched Gauss-Jordan elimination for block-Jacobi preconditioning on graphics processors

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Anzt, H.; Dongarra, J.; Flegar, G.; Quintana Ortí, ES. (2019). Variable-size batched Gauss-Jordan elimination for block-Jacobi preconditioning on graphics processors. Parallel Computing. 81:131-146. https://doi.org/10.1016/j.parco.2017.12.006

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/158177

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Title: Variable-size batched Gauss-Jordan elimination for block-Jacobi preconditioning on graphics processors
Author: Anzt, Hartwig Dongarra, Jack Flegar, Goran Quintana Ortí, Enrique S.
UPV Unit: Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors
Issued date:
Abstract:
[EN] In this work, we address the efficient realization of block-Jacobi preconditioning on graphics processing units (GPUs). This task requires the solution of a collection of small and independent linear systems. To fully ...[+]
Subjects: Batched algorithms , Matrix inversion , Gauss-Jordan elimination , Block-Jacobi , Sparse linear systems , Graphics processor
Copyrigths: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
Source:
Parallel Computing. (issn: 0167-8191 )
DOI: 10.1016/j.parco.2017.12.006
Publisher:
Elsevier
Publisher version: https://doi.org/10.1016/j.parco.2017.12.006
Project ID:
info:eu-repo/grantAgreement/EC/H2020/732631/EU
MINECO/TIN2014-53495-R
Helmholtz Association of German Research Centers/VH-NG-1241
DOE/DE-SC-0010042
CSCS/#d65
Thanks:
This material is based upon work supported by the U.S. Department of Energy Office of Science, Office of Advanced Scientific Computing Research, Applied Mathematics program under Award Number DE-SC-0010042. H. Anzt was ...[+]
Type: Artículo

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