Towards an exascale enabled sparse solver repository

Jonas Thies; Martin Galgon; Faisal Shahzad; Andreas Alvermann; Moritz Kreutzer; Andreas Pieper; Melven Röhrig-Zöllner; Achim Basermann; Holger Fehske; Georg Hager; Bruno Lang; Gerhard Wellein

doi:10.1007/978-3-319-40528-5_13

Towards an exascale enabled sparse solver repository

Jonas Thies^*, Martin Galgon, Faisal Shahzad, Andreas Alvermann, Moritz Kreutzer, Andreas Pieper, Melven Röhrig-Zöllner, Achim Basermann, Holger Fehske, Georg Hager, Bruno Lang, Gerhard Wellein

^*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

5 Citations (Scopus)

Abstract

As we approach the exascale computing era, disruptive changes in the software landscape are required to tackle the challenges posed by manycore CPUs and accelerators. We discuss the development of a new ‘exascale enabled’ sparse solver repository (the ESSR) that addresses these challenges—from fundamental design considerations and development processes to actual implementations of some prototypical iterative schemes for computing eigenvalues of sparse matrices. Key features of the ESSR include holistic performance engineering, tight integration between software layers and mechanisms to mitigate hardware failures.

Original language	English
Title of host publication	Software for Exascale Computing - SPPEXA 2013-2015
Editors	Wolfgang E. Nagel, Hans-Joachim Bungartz, Philipp Neumann
Publisher	Springer Science+Business Media
Pages	295-316
Number of pages	22
ISBN (Print)	9783319405261
DOIs	https://doi.org/10.1007/978-3-319-40528-5_13
Publication status	Published - 2016
Externally published	Yes
Event	International Conference on Software for Exascale Computing, SPPEXA 2015 - Munich, Germany Duration: 25 Jan 2016 → 27 Jan 2016

Publication series

Name	Lecture Notes in Computational Science and Engineering
Volume	113
ISSN (Print)	1439-7358

Conference

Conference	International Conference on Software for Exascale Computing, SPPEXA 2015
Country/Territory	Germany
City	Munich
Period	25/01/16 → 27/01/16

Access to Document

10.1007/978-3-319-40528-5_13

Cite this

Thies, J., Galgon, M., Shahzad, F., Alvermann, A., Kreutzer, M., Pieper, A., Röhrig-Zöllner, M., Basermann, A., Fehske, H., Hager, G., Lang, B., & Wellein, G. (2016). Towards an exascale enabled sparse solver repository. In W. E. Nagel, H-J. Bungartz, & P. Neumann (Eds.), Software for Exascale Computing - SPPEXA 2013-2015 (pp. 295-316). (Lecture Notes in Computational Science and Engineering; Vol. 113). Springer Science+Business Media. https://doi.org/10.1007/978-3-319-40528-5_13

Thies, Jonas ; Galgon, Martin ; Shahzad, Faisal ; Alvermann, Andreas ; Kreutzer, Moritz ; Pieper, Andreas ; Röhrig-Zöllner, Melven ; Basermann, Achim ; Fehske, Holger ; Hager, Georg ; Lang, Bruno ; Wellein, Gerhard. / Towards an exascale enabled sparse solver repository. Software for Exascale Computing - SPPEXA 2013-2015. editor / Wolfgang E. Nagel ; Hans-Joachim Bungartz ; Philipp Neumann. Springer Science+Business Media, 2016. pp. 295-316 (Lecture Notes in Computational Science and Engineering).

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title = "Towards an exascale enabled sparse solver repository",

abstract = "As we approach the exascale computing era, disruptive changes in the software landscape are required to tackle the challenges posed by manycore CPUs and accelerators. We discuss the development of a new {\textquoteleft}exascale enabled{\textquoteright} sparse solver repository (the ESSR) that addresses these challenges—from fundamental design considerations and development processes to actual implementations of some prototypical iterative schemes for computing eigenvalues of sparse matrices. Key features of the ESSR include holistic performance engineering, tight integration between software layers and mechanisms to mitigate hardware failures.",

author = "Jonas Thies and Martin Galgon and Faisal Shahzad and Andreas Alvermann and Moritz Kreutzer and Andreas Pieper and Melven R{\"o}hrig-Z{\"o}llner and Achim Basermann and Holger Fehske and Georg Hager and Bruno Lang and Gerhard Wellein",

year = "2016",

doi = "10.1007/978-3-319-40528-5_13",

language = "English",

isbn = "9783319405261",

series = "Lecture Notes in Computational Science and Engineering",

publisher = "Springer Science+Business Media",

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editor = "Nagel, {Wolfgang E.} and Hans-Joachim Bungartz and Philipp Neumann",

booktitle = "Software for Exascale Computing - SPPEXA 2013-2015",

note = "International Conference on Software for Exascale Computing, SPPEXA 2015 ; Conference date: 25-01-2016 Through 27-01-2016",

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Thies, J, Galgon, M, Shahzad, F, Alvermann, A, Kreutzer, M, Pieper, A, Röhrig-Zöllner, M, Basermann, A, Fehske, H, Hager, G, Lang, B & Wellein, G 2016, Towards an exascale enabled sparse solver repository. in WE Nagel, H-J Bungartz & P Neumann (eds), Software for Exascale Computing - SPPEXA 2013-2015. Lecture Notes in Computational Science and Engineering, vol. 113, Springer Science+Business Media, pp. 295-316, International Conference on Software for Exascale Computing, SPPEXA 2015, Munich, Germany, 25/01/16. https://doi.org/10.1007/978-3-319-40528-5_13

Towards an exascale enabled sparse solver repository. / Thies, Jonas; Galgon, Martin; Shahzad, Faisal; Alvermann, Andreas; Kreutzer, Moritz; Pieper, Andreas; Röhrig-Zöllner, Melven; Basermann, Achim; Fehske, Holger; Hager, Georg; Lang, Bruno; Wellein, Gerhard.

Software for Exascale Computing - SPPEXA 2013-2015. ed. / Wolfgang E. Nagel; Hans-Joachim Bungartz; Philipp Neumann. Springer Science+Business Media, 2016. p. 295-316 (Lecture Notes in Computational Science and Engineering; Vol. 113).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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AB - As we approach the exascale computing era, disruptive changes in the software landscape are required to tackle the challenges posed by manycore CPUs and accelerators. We discuss the development of a new ‘exascale enabled’ sparse solver repository (the ESSR) that addresses these challenges—from fundamental design considerations and development processes to actual implementations of some prototypical iterative schemes for computing eigenvalues of sparse matrices. Key features of the ESSR include holistic performance engineering, tight integration between software layers and mechanisms to mitigate hardware failures.

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Thies J, Galgon M, Shahzad F, Alvermann A, Kreutzer M, Pieper A et al. Towards an exascale enabled sparse solver repository. In Nagel WE, Bungartz H-J, Neumann P, editors, Software for Exascale Computing - SPPEXA 2013-2015. Springer Science+Business Media. 2016. p. 295-316. (Lecture Notes in Computational Science and Engineering). https://doi.org/10.1007/978-3-319-40528-5_13

Towards an exascale enabled sparse solver repository

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