Improvements to SLEPc in Releases 3.14–3.18

Jose E. Roman; Fernando Alvarruiz; Carmen Campos; Lisandro Dalcin; Pierre Jolivet; Alejandro Lamas Daviña

doi:10.1145/3603373

Improvements to SLEPc in Releases 3.14–3.18

Jose E. Roman, Fernando Alvarruiz, Carmen Campos, Lisandro Dalcin, Pierre Jolivet, Alejandro Lamas Daviña

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

This short paper describes the main new features added to SLEPc, the Scalable Library for Eigenvalue Problem Computations, in the last two and a half years, corresponding to five release versions. The main novelty is the extension of the SVD module with new problem types such as the generalized SVD or the hyperbolic SVD. Additionally, many improvements have been incorporated in different parts of the library, including contour integral eigensolvers, preconditioning and GPU support.

Original language	English (US)
Journal	ACM Transactions on Mathematical Software
DOIs	https://doi.org/10.1145/3603373
State	Published - Jun 7 2023

Bibliographical note

KAUST Repository Item: Exported on 2023-06-12
Acknowledgements: This work was partially funded by the Spanish Agencia Estatal de Investigación under grant PID2019-107379RBI00 / AEI / 10.13039/501100011033. In addition to the authors of this paper, the following people contributed code to the releases: Fande Kong, Barry Smith, Satish Balay, Matthew Knepley, Stefano Zampini, Jacob Faibussowitsch, Murat Keçeli, William Dawn, Marco Morandini, Alexei Colin, Jan Blechta, Jack Hale, Elisa Schenone. Their contributions are much appreciated!

ASJC Scopus subject areas

Software
Applied Mathematics

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10.1145/3603373

https://repository.kaust.edu.sa/bitstream/10754/692513/1/3603373.pdf

Cite this

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title = "Improvements to SLEPc in Releases 3.14–3.18",

abstract = "This short paper describes the main new features added to SLEPc, the Scalable Library for Eigenvalue Problem Computations, in the last two and a half years, corresponding to five release versions. The main novelty is the extension of the SVD module with new problem types such as the generalized SVD or the hyperbolic SVD. Additionally, many improvements have been incorporated in different parts of the library, including contour integral eigensolvers, preconditioning and GPU support.",

author = "Roman, {Jose E.} and Fernando Alvarruiz and Carmen Campos and Lisandro Dalcin and Pierre Jolivet and Davi{\~n}a, {Alejandro Lamas}",

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AU - Daviña, Alejandro Lamas

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Improvements to SLEPc in Releases 3.14–3.18

Abstract

Bibliographical note

ASJC Scopus subject areas

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