Reproducibility strategies for parallel Preconditioned Conjugate Gradient-Reference-Cited by-同舟云学术

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Reproducibility strategies for parallel Preconditioned Conjugate Gradient

Published:2020-06 Issue: Volume:371 Page:112697
ISSN:0377-0427
Container-title:Journal of Computational and Applied Mathematics
language:en
Short-container-title:Journal of Computational and Applied Mathematics

Author:

Iakymchuk Roman^ORCID,Barreda Maria,Wiesenberger Matthias,Aliaga José I.,Quintana-Ortí Enrique S.

Funder

Ministerio de Economía y Competitividad

European Commission

Universitat Jaume I

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Mathematics

Reference35 articles.

1. Templates for the Solution of Linear Systems: Building Blocks for Iterative Methods;Barrett,1994

2. Iterative Methods for Sparse Linear Systems;Saad,2003

3. Using Advanced MPI: Modern Features of the Message-Passing Interface;Gropp,2014

4. Basic linear algebra subprograms for Fortran usage;Lawson;ACM Trans. Math. Software,1979

5. A set of level 3 basic linear algebra subprograms;Dongarra;ACM Trans. Math. Software,1990

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1. General framework for re-assuring numerical reliability in parallel Krylov solvers: A case of bi-conjugate gradient stabilized methods;The International Journal of High Performance Computing Applications;2023-10-25

2. Comparison of Reproducible Parallel Preconditioned BiCGSTAB Algorithm Based on ExBLAS and ReproBLAS;Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region;2023-02-27

3. General Framework for Deriving Reproducible Krylov Subspace Algorithms: BiCGStab Case;Parallel Processing and Applied Mathematics;2023

4. Compensated summation and dot product algorithms for floating-point vectors on parallel architectures: Error bounds, implementation and application in the Krylov subspace methods;Journal of Computational and Applied Mathematics;2022-11

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