Essex: Equipping sparse solvers for exascale

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

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

5 Citations (Scopus)


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.

Original languageEnglish
Title of host publicationEuro-Par 2014
Subtitle of host publicationParallel Processing Workshops - Euro-Par 2014 InternationalWorkshops, Revised Selected Papers
EditorsLuís Lopes
PublisherSpringer Verlag
Number of pages12
ISBN (Electronic)9783319143125
Publication statusPublished - 2014
Externally publishedYes
EventInternational Workshop on Parallel Processing, Euro-Par 2014 - Porto, Portugal
Duration: 25 Aug 201426 Aug 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


ConferenceInternational Workshop on Parallel Processing, Euro-Par 2014


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