Gesellschaft für Informatik e.V.

Lecture Notes in Informatics


ARCS 2004 - Organic and Pervasive Computing, Workshops Proceedings, March 26, 2004, Augsburg, Germany. P-41, 400-409 (2004).

GI, Gesellschaft für Informatik, Bonn
2004


Editors

Uwe Brinkschulte (ed.), Jürgen Becker (ed.), Dietmar Fey (ed.), Karl-Erwin Großpietsch (ed.), Christian Hochberger (ed.), Erik Maehle (ed.), Thomas A. Runkler (ed.)


Copyright © GI, Gesellschaft für Informatik, Bonn

Contents

Modelling of parameters in supercomputer workloads

Baiyi Song , Carsten Ernemann and Ramin Yahyapour

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.


Full Text: PDF

GI, Gesellschaft für Informatik, Bonn
ISBN 3-88579-370-9


Last changed 04.10.2013 18:00:36