Wolf, Felix ; Bischof, Christian ; Calotoiu, Alexandru ; Hoefler, Torsten ; Iwainsky, Christian ; Kwasniewski, Grzegorz ; Mohr, Bernd ; Shudler, Sergei ; Strube, Alexandre ; Vogel, Andreas ; Wittum, Gabriel (2016)
Automatic Performance Modeling of HPC Applications.
SPPEXA Symposium 2016. Munich, Germany (25.-27.01.2016)
doi: 10.1007/978-3-319-40528-5_20
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
Many existing applications suffer from inherent scalability limitations that will prevent them from running at exascale. Current tuning practices, which rely on diagnostic experiments, have drawbacks because (i) they detect scalability problems relatively late in the development process when major effort has already been invested into an inadequate solution and (ii) they incur the extra cost of potentially numerous full-scale experiments. Analytical performance models, in contrast, allow application developers to address performance issues already during the design or prototyping phase. Unfortunately, the difficulties of creating such models combined with the lack of appropriate tool support still render performance modeling an esoteric discipline mastered only by a relatively small community of experts. This article summarizes the results of the Catwalk project, which aimed to create tools that automate key activities of the performance modeling process, making this powerful methodology accessible to a wider audience of HPC application developers.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2016 |
| Autor(en): | Wolf, Felix ; Bischof, Christian ; Calotoiu, Alexandru ; Hoefler, Torsten ; Iwainsky, Christian ; Kwasniewski, Grzegorz ; Mohr, Bernd ; Shudler, Sergei ; Strube, Alexandre ; Vogel, Andreas ; Wittum, Gabriel |
| Art des Eintrags: | Bibliographie |
| Titel: | Automatic Performance Modeling of HPC Applications |
| Sprache: | Englisch |
| Publikationsjahr: | 15 September 2016 |
| Verlag: | Springer |
| Buchtitel: | Software for Exascale Computing - SPPEXA 2013-2015 |
| Reihe: | Lecture Notes in Computational Science and Engineering |
| Band einer Reihe: | 113 |
| Veranstaltungstitel: | SPPEXA Symposium 2016 |
| Veranstaltungsort: | Munich, Germany |
| Veranstaltungsdatum: | 25.-27.01.2016 |
| Auflage: | 1st Edition |
| DOI: | 10.1007/978-3-319-40528-5_20 |
| Kurzbeschreibung (Abstract): | Many existing applications suffer from inherent scalability limitations that will prevent them from running at exascale. Current tuning practices, which rely on diagnostic experiments, have drawbacks because (i) they detect scalability problems relatively late in the development process when major effort has already been invested into an inadequate solution and (ii) they incur the extra cost of potentially numerous full-scale experiments. Analytical performance models, in contrast, allow application developers to address performance issues already during the design or prototyping phase. Unfortunately, the difficulties of creating such models combined with the lack of appropriate tool support still render performance modeling an esoteric discipline mastered only by a relatively small community of experts. This article summarizes the results of the Catwalk project, which aimed to create tools that automate key activities of the performance modeling process, making this powerful methodology accessible to a wider audience of HPC application developers. |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Parallele Programmierung 20 Fachbereich Informatik > Scientific Computing |
| Hinterlegungsdatum: | 20 Apr 2018 12:23 |
| Letzte Änderung: | 23 Mai 2024 11:32 |
| PPN: | 518507181 |
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