ESSEX: Equipping Sparse Solvers for Exascale. Alvermann, A., Achim Basermann, Fehske, H., Galgon, M., Hager, G., Kreutzer, M., Krämer, L., Lang, B., Pieper, A., Röhrig-Zöllner, M., Shahzad, F., Thies, J., & Wellein, G. In Lopes, L., Žilinskas, J., Costan, A., Cascella, R. G., Kecskemeti, G., Jeannot, E., Cannataro, M., Ricci, L., Benkner, S., Petit, S., Scarano, V., Gracia, J., Hunold, S., Scott, S. L., Lankes, S., Lengauer, C., Carretero, J., Breitbart, J., & Alexander, M., editors, Euro-Par 2014: Parallel Processing Workshops, of Lecture Notes in Computer Science, pages 577--588. Springer International Publishing, August, 2014. 286![ESSEX: Equipping Sparse Solvers for Exascale [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper abstract bibtex 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.
@incollection{alvermann_essex:_2014,
series = {Lecture {Notes} in {Computer} {Science}},
title = {{ESSEX}: {Equipping} {Sparse} {Solvers} for {Exascale}},
copyright = {©2014 Springer International Publishing Switzerland},
isbn = {978-3-319-14312-5 978-3-319-14313-2},
shorttitle = {{ESSEX}},
url = {http://link.springer.com/chapter/10.1007/978-3-319-14313-2_49},
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.},
language = {en},
number = {8806},
urldate = {2015-02-06},
booktitle = {Euro-{Par} 2014: {Parallel} {Processing} {Workshops}},
publisher = {Springer International Publishing},
author = {Alvermann, Andreas and {Achim Basermann} and Fehske, Holger and Galgon, Martin and Hager, Georg and Kreutzer, Moritz and Krämer, Lukas and Lang, Bruno and Pieper, Andreas and Röhrig-Zöllner, Melven and Shahzad, Faisal and Thies, Jonas and Wellein, Gerhard},
editor = {Lopes, Luís and Žilinskas, Julius and Costan, Alexandru and Cascella, Roberto G. and Kecskemeti, Gabor and Jeannot, Emmanuel and Cannataro, Mario and Ricci, Laura and Benkner, Siegfried and Petit, Salvador and Scarano, Vittorio and Gracia, José and Hunold, Sascha and Scott, Stephen L. and Lankes, Stefan and Lengauer, Christian and Carretero, Jesús and Breitbart, Jens and Alexander, Michael},
month = aug,
year = {2014},
note = {286},
keywords = {Algorithm Analysis and Problem Complexity, Computer Communication Networks, Database Management, Information Systems Applications (incl. Internet), Software Engineering/Programming and Operating Systems, System Performance and Evaluation},
pages = {577--588},
file = {Alvermann et al_2014_ESSEX.pdf:/home/schlady/.zotero/zotero/za3jlr8i.default/zotero/storage/K487CX7D/Alvermann et al_2014_ESSEX.pdf:application/pdf;Snapshot:/home/schlady/.zotero/zotero/za3jlr8i.default/zotero/storage/2KRGDJBD/978-3-319-14313-2_49.html:text/html}
}
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