Essex

Equipping sparse solvers for exascale

Conference paper (2014)

Authors

Andreas Alvermann Greifswald University

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

Moritz Kreutzer Friedrich-Alexander-Universität Erlangen-Nürnberg

Faisal Shahzad Friedrich-Alexander-Universität Erlangen-Nürnberg

Gerhard Wellein Friedrich-Alexander-Universität Erlangen-Nürnberg

Holger Fehske Greifswald University

Andreas Pieper Greifswald University

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

J. Thies Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR)

Martin Galgon Bergische Universität Wuppertal

Lukas Krämer Bergische Universität Wuppertal

Bruno Lang Bergische Universität Wuppertal

Georg Hager Friedrich-Alexander-Universität Erlangen-Nürnberg

Affiliation

External organisation

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Published Date

2014

Language

English

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Abstract

The ESSEX project investigates computational issues arising at exascale for large-scale sparse eigenvalue problems and develops programming concepts and numerical methods for their solution. The project pursues a coherent co-design of all software layers where a holistic performance engineering process guides code development across the classic boundaries of application, numerical method, and basic kernel library. Within ESSEX the numerical methods cover widely applicable solvers such as classic Krylov, Jacobi-Davidson, or the recent FEAST methods, as well as domain-specific iterative schemes relevant for the ESSEX quantum physics application. This report introduces the project structure and presents selected results which demonstrate the potential impact of ESSEX for efficient sparse solvers on highly scalable heterogeneous supercomputers.