Modelling of parameters in supercomputer workloads

Abstract
Evaluation methods for parallel computers often require the availability of relevant workload information. To this end, workload traces recorded on real installations are frequently used. Alternatively, workload models are applied. However, often not all necessary information are available for a specific workload. In this paper, a model is presented to recover an estimated job execution time when this information is not available. The quality of the modelled estimated runtime is evaluated by comparing different workload traces for which this information is available.
  • Citation
  • BibTeX
Song, B., Ernemann, C. & Yahyapour, R., (2004). Modelling of parameters in supercomputer workloads. In: Brinkschulte, U., Becker, J., Fey, D., Großpietsch, K.-E., Hochberger, C., Maehle, E. & Runkler, T. A. (Hrsg.), ARCS 2004 – Organic and pervasive computing. Bonn: Gesellschaft für Informatik e.V.. (S. 400-409).
@inproceedings{mci/Song2004,
author = {Song, Baiyi AND Ernemann, Carsten AND Yahyapour, Ramin},
title = {Modelling of parameters in supercomputer workloads},
booktitle = {ARCS 2004 – Organic and pervasive computing},
year = {2004},
editor = {Brinkschulte, Uwe AND Becker, Jürgen AND Fey, Dietmar AND Großpietsch, Karl-Erwin AND Hochberger, Christian AND Maehle, Erik AND Runkler, Thomas A.} ,
pages = { 400-409 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
DateienGroesseFormatAnzeige
GI-Proceedings.41-43.pdf136.5Kb PDF View/Open

Haben Sie fehlerhafte Angaben entdeckt? Sagen Sie uns Bescheid: Send Feedback

More Info

ISBN: 3-88579-370-9
ISSN: 1617-5468
xmlui.MetaDataDisplay.field.date: 2004
Language: en (en)
Content Type: Text/Conference Paper
Collections

Show full item record