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Development and Tuning Framework of Master/Worker Applications

Authors Paola Caymes-Scutari, Anna Morajko, Eduardo César, Genaro Costa, José G. Mesa, Tomàs Margalef, Joan Sorribes, Emilio Luque



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Author Details

Paola Caymes-Scutari
Anna Morajko
Eduardo César
Genaro Costa
José G. Mesa
Tomàs Margalef
Joan Sorribes
Emilio Luque

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Paola Caymes-Scutari, Anna Morajko, Eduardo César, Genaro Costa, José G. Mesa, Tomàs Margalef, Joan Sorribes, and Emilio Luque. Development and Tuning Framework of Master/Worker Applications. In Automatic Performance Analysis. Dagstuhl Seminar Proceedings, Volume 5501, pp. 1-6, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2006)
https://doi.org/10.4230/DagSemProc.05501.3

Abstract

Parallel/distributed programming is a complex task that requires a high degree of expertise to fulfill the expectations of high performance computation. The Master/Worker paradigm is one of the most commonly used because it is easy to understand and there is a wide range of applications that match this paradigm. However, there are certain features, such as data distribution and the number of workers that must be tuned properly to obtain adequate performance. In most cases such features cannot be tuned statically since they depend on the particular conditions of each execution. In this paper, we show a dynamic tuning environment that is based on a theoretical model of Master/Worker behavior and allows for the adaptation of such applications to the dynamic conditions of execution. The environment includes a pattern based application development framework that allows the user to concentrate on the design phase and makes it easier to overcome performance bottlenecks.
Keywords
  • Dynamic tuning
  • performance analysis
  • performance model

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