Umeå University's logo

umu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Task‐based, GPU‐accelerated and robust library for solving dense nonsymmetric eigenvalue problems
Umeå University, Faculty of Science and Technology, Department of Computing Science. Umeå University, Faculty of Science and Technology, High Performance Computing Center North (HPC2N).ORCID iD: 0000-0002-3689-0899
Umeå University, Faculty of Science and Technology, Department of Computing Science. Umeå University, Faculty of Science and Technology, High Performance Computing Center North (HPC2N).ORCID iD: 0000-0002-9158-1941
2021 (English)In: Concurrency and Computation, ISSN 1532-0626, E-ISSN 1532-0634, Vol. 33, no 11, article id e5915Article in journal (Refereed) Published
Abstract [en]

In this paper, we present the StarNEig library for solving dense nonsymmetric standard and generalized eigenvalue problems. The library is built on top of the StarPU runtime system and targets both shared and distributed memory machines. Some components of the library have support for GPU acceleration. The library currently applies to real matrices with real and complex eigenvalues and all calculations are done using real arithmetic. Support for complex matrices is planned for a future release. This paper is aimed at potential users of the library. We describe the design choices and capabilities of the library, and contrast them to existing software such as LAPACK and ScaLAPACK. StarNEig implements a ScaLAPACK compatibility layer which should assist new users in the transition to StarNEig. We demonstrate the performance of the library with a sample of computational experiments.

Place, publisher, year, edition, pages
John Wiley & Sons, 2021. Vol. 33, no 11, article id e5915
Keywords [en]
eigenvalue problem, parallel computing, task‐based, numerical library
National Category
Computer Sciences Computational Mathematics
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:umu:diva-173924DOI: 10.1002/cpe.5915ISI: 000555868500001Scopus ID: 2-s2.0-85089025359OAI: oai:DiVA.org:umu-173924DiVA, id: diva2:1456745
Projects
NLAFETAvailable from: 2020-08-06 Created: 2020-08-06 Last updated: 2021-07-14Bibliographically approved

Open Access in DiVA

fulltext(1409 kB)168 downloads
File information
File name FULLTEXT03.pdfFile size 1409 kBChecksum SHA-512
f630361bfa5f5dada56b9b8e2dc51d670c0cdca9c353a6af75ba68d1d89c422219d368e6b730baacee1d5cc08a7c339eceff5b9dc81710ca6a412e420199e4a1
Type fulltextMimetype application/pdf

Other links

Publisher's full textScopus

Authority records

Myllykoski, MirkoKjelgaard Mikkelsen, Carl Christian

Search in DiVA

By author/editor
Myllykoski, MirkoKjelgaard Mikkelsen, Carl Christian
By organisation
Department of Computing ScienceHigh Performance Computing Center North (HPC2N)
In the same journal
Concurrency and Computation
Computer SciencesComputational Mathematics

Search outside of DiVA

GoogleGoogle Scholar
Total: 295 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 520 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf