07341 Executive Summary – Code Instrumentation and Modeling for Parallel Performance Analysis

Authors Adolfy Hoisie, Barton P. Miller, Bernd Mohr

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Adolfy Hoisie
Barton P. Miller
Bernd Mohr

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Adolfy Hoisie, Barton P. Miller, and Bernd Mohr. 07341 Executive Summary – Code Instrumentation and Modeling for Parallel Performance Analysis. In Code Instrumentation and Modeling for Parallel Performance Analysis. Dagstuhl Seminar Proceedings, Volume 7341, pp. 1-4, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2007)


Given the exponential increase in the complexity of modern parallel systems, parallel applications often fail to exploit the full power of the underlying hardware. At scale, it is not uncommon for applications to run at parallel efficiencies in the low single digits. Moreover, their optimization is extremely difficult due to the inherent complexity of the systems and the applications themselves. Therefore, a variety of projects have been developing tools and techniques for the measurement, analysis, and visualization of parallel program performance in order to help guide users in the optimization process. This meeting was the third in a series of seminars related to the topic "Performance Analysis of Parallel and Distributed Programs", with previous meetings being the Dagstuhl Seminar 02341 on "Performance Analysis and Distributed Computing" held in August 2002 and Seminar 05501 on "Automatic Performance Analysis" in December 2005. While these seminars concentrated on the "analysis" part of performance analysis, at the most recent seminar the focus was on the building blocks of program instrumentation and modeling that are prerequisites for the analysis phase. As a result, the presentations of the participants concentrated on several fundamental issues related to instrumentation for generating high-quality performance data, methodologies for performance modeling leading to accurate predictions for the performance, and on the ways in which these techniques are combined for the performance analysis of applications and systems.
  • Performance analysis
  • parallel programming


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