Calotoiu, Alexandru ; Graf, Alexander ; Hoefler, Torsten ; Lorenz, Daniel ; Wolf, Felix (2018)
Lightweight Requirements Engineering for Exascale Co-design.
2018 IEEE International Conference on Cluster Computing (CLUSTER). Belfast, United Kingdom (10.-13.09.2018)
doi: 10.1109/CLUSTER.2018.00038
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
Given the tremendous cost of an exascale system, its architecture must match the requirements of the applications it is supposed to run as precisely as possible. Conversely, applications must be designed such that building an appropriate system becomes feasible, motivating the idea of co-design. In this process, a fundamental aspect of the application requirements are the rates at which the demands for different resources grow as a code is scaled to a larger machine. However, if the anticipated scale exceeds the size of available platforms this demand can no longer be measured. This is clearly the case when designing an exascale system. Moreover, creating analytical models to predict these requirements is often too laborious - especially when the number and complexity of target applications is high. In this paper, we show how automated performance modeling can be used to quickly predict application requirements for varying scales and problem sizes. Following this approach, we determine the exascale requirements of five scientific codes and use them to illustrate system design tradeoffs.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2018 |
| Autor(en): | Calotoiu, Alexandru ; Graf, Alexander ; Hoefler, Torsten ; Lorenz, Daniel ; Wolf, Felix |
| Art des Eintrags: | Bibliographie |
| Titel: | Lightweight Requirements Engineering for Exascale Co-design |
| Sprache: | Englisch |
| Publikationsjahr: | 1 November 2018 |
| Verlag: | IEEE |
| Buchtitel: | Proceedings: 2018 IEEE International Conference on Cluster Computing |
| Veranstaltungstitel: | 2018 IEEE International Conference on Cluster Computing (CLUSTER) |
| Veranstaltungsort: | Belfast, United Kingdom |
| Veranstaltungsdatum: | 10.-13.09.2018 |
| DOI: | 10.1109/CLUSTER.2018.00038 |
| Kurzbeschreibung (Abstract): | Given the tremendous cost of an exascale system, its architecture must match the requirements of the applications it is supposed to run as precisely as possible. Conversely, applications must be designed such that building an appropriate system becomes feasible, motivating the idea of co-design. In this process, a fundamental aspect of the application requirements are the rates at which the demands for different resources grow as a code is scaled to a larger machine. However, if the anticipated scale exceeds the size of available platforms this demand can no longer be measured. This is clearly the case when designing an exascale system. Moreover, creating analytical models to predict these requirements is often too laborious - especially when the number and complexity of target applications is high. In this paper, we show how automated performance modeling can be used to quickly predict application requirements for varying scales and problem sizes. Following this approach, we determine the exascale requirements of five scientific codes and use them to illustrate system design tradeoffs. |
| Freie Schlagworte: | DFG|320898076; BMBF|01IH16008D; DoE|DE-SC0015524 |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Parallele Programmierung Zentrale Einrichtungen Zentrale Einrichtungen > Hochschulrechenzentrum (HRZ) Zentrale Einrichtungen > Hochschulrechenzentrum (HRZ) > Hochleistungsrechner |
| Hinterlegungsdatum: | 10 Jul 2018 14:16 |
| Letzte Änderung: | 17 Mai 2024 08:27 |
| PPN: | 51839333X |
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