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A Survey of the State of the Art in Performance Modelingand Prediction of Parallel and Distributed Computing Systems
University of Vienna.
University of Vienna.
2008 (English)In: International Journal of Computational Intelligence Research (IJCIR), ISSN 0973-1873, Vol. 4, no 1, 17-26 p.Article in journal (Refereed) Published
Abstract [en]

Performance is one of the key features of parallel and distributed computing systems. Therefore, in the past a significant research effort was invested in the development of approaches for performance modeling and prediction of parallel and distributed computing systems. In this paper we identify the trends, contributions, and drawbacks of the state of the art approaches. We describe a wide range of the performance modeling approaches that spans from the high-level mathematical modeling to the detailed instruction-level simulation. For each approach we describe how the program and machine are modeled and estimate the model development and evaluation effort, the efficiency, and the accuracy. Furthermore, we present an overall evaluation of the described approaches.

Place, publisher, year, edition, pages
2008. Vol. 4, no 1, 17-26 p.
National Category
Computer Science
Identifiers
URN: urn:nbn:se:lnu:diva-28182OAI: oai:DiVA.org:lnu-28182DiVA: diva2:641057
Available from: 2013-08-15 Created: 2013-08-15 Last updated: 2013-09-13Bibliographically approved

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Pllana, Sabri

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