Fine‐grain task‐parallel algorithms for matrix factorizations and inversion on many‐threaded CPUs-Reference-Cited by-同舟云学术

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Fine‐grain task‐parallel algorithms for matrix factorizations and inversion on many‐threaded CPUs

Published:2022-04-07 Issue: Volume: Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency and Computation

Author:

Catalán Sandra¹,Herrero José R.²,Igual Francisco D.¹^ORCID,Quintana‐Ortí Enrique S.³^ORCID,Rodríguez‐Sánchez Rafael¹

Affiliation:

1. Departamento de Arquitectura de Computadores y Automática Universidad Complutense de Madrid Madrid Spain

2. Departament d'Arquitectura de Computadors Universitat Politècnica de Catalunya Barcelona Spain

3. Departamento de Informática de Sistemas y Computadores Universitat Politècnica de València Valencia Spain

Funder

Comunidad de Madrid

Ministerio de Ciencia e Innovación

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.6999

Reference16 articles.

1. A class of parallel tiled linear algebra algorithms for multicore architectures

2. PLASMA project home page.http://icl.cs.utk.edu/plasma

3. Programming matrix algorithms-by-blocks for thread-level parallelism

4. Van ZeeFG.libflame: the complete reference; 2012.www.lulu.com

5. AgulloE BeaumontO Eyraud‐DuboisL KumarS.Are static schedules so bad? A case study on Cholesky factorization. Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium (IPDPS); 2016:1021‐1030; IEEE 10.1109/IPDPS.2016.90

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