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Lightweight Requirements Engineering for Exascale Co-design

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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