MPI-CUDA parallel linear solvers for block-tridiagonal matrices in the context of SLEPc’s eigensolvers-Reference-Cited by-同舟云学术

MPI-CUDA parallel linear solvers for block-tridiagonal matrices in the context of SLEPc’s eigensolvers

Published:2018-05 Issue: Volume:74 Page:118-135
ISSN:0167-8191
Container-title:Parallel Computing
language:en
Short-container-title:Parallel Computing

Author:

Lamas Daviña A.,Roman J.E.^ORCID

Funder

European Commission

Ministry of Education, Culture and Sport

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Graphics and Computer-Aided Design,Computer Networks and Communications,Hardware and Architecture,Theoretical Computer Science,Software

Reference38 articles.

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3. Condensed forms for the symmetric eigenvalue problem on multi-threaded architectures;Bientinesi;Concur. Comput.: Pract. Exp.,2011

4. Accelerating the reduction to upper Hessenberg, tridiagonal, and bidiagonal forms through hybrid GPU-based computing;Tomov;Parallel Comput.,2010

5. Divide and conquer on hybrid GPU-accelerated multicore systems;Vomel;SIAM J. Sci. Comput.,2012

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