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Performance and environment monitoring for continuous program optimization

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4 Author(s)
C. Cascaval ; IBM Research Division, Thomas J. Watson Research Center, P.O. Box 218, Yorktown Heights, New York 10598, USA ; E. Duesterwald ; P. F. Sweeney ; R. W. Wisniewski

Our research is aimed at characterizing, understanding, and exploiting the interactions between hardware and software to improve system performance. We have developed a paradigm for continuous program optimization (CPO) that assists in and automates the challenging task of performance tuning, and we have implemented an initial prototype of this paradigm. At the core of our implementation is a performance- and environment-monitoring (PEM) component that vertically integrates performance events from various layers in the execution stack. CPO agents use the data provided by PEM to detect, diagnose, and alleviate performance problems on existing systems. In addition, CPO can be used to improve future architecture designs by analyzing PEM data collected on a whole-system simulator while varying architectural characteristics. In this paper, we present the CPO paradigm, describe an initial implementation that includes PEM as a component, and discuss two CPO clients.

Note: The Institute of Electrical and Electronics Engineers, Incorporated is distributing this Article with permission of the International Business Machines Corporation (IBM) who is the exclusive owner. The recipient of this Article may not assign, sublicense, lease, rent or otherwise transfer, reproduce, prepare derivative works, publicly display or perform, or distribute the Article.  

Published in:

IBM Journal of Research and Development  (Volume:50 ,  Issue: 2.3 )