Towards an exascale enabled sparse solver repository

Conference paper (2016)

Authors

J. Thies German Aerospace Center

Martin Galgon Bergische Universität Wuppertal

Bruno Lang Bergische Universität Wuppertal

Gerhard Wellein Friedrich-Alexander-Universität Erlangen-Nürnberg

Faisal Shahzad Friedrich-Alexander-Universität Erlangen-Nürnberg

Andreas Alvermann Greifswald University

Moritz Kreutzer Friedrich-Alexander-Universität Erlangen-Nürnberg

Andreas Pieper Greifswald University

Melven Röhrig-Zöllner Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR)

Achim Basermann Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR)

Holger Fehske Greifswald University

Georg Hager Friedrich-Alexander-Universität Erlangen-Nürnberg

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Published Date

2016

Language

English

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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.