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Scalable, parallel performance environments

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1 Author(s)
Reed, D.A. ; Dept. of Comput. Sci., Illinois Univ., Urbana, IL, USA

It is shown that new techniques are needed to analyze and present performance data from massively parallel systems. Although parallel programs contain many tasks, typically, there are only a few equivalence classes of task behavior. The author is planning to incorporate algorithms for performance data clustering and display (i.e. equivalence class identification) performance data presentation

Published in:

Computer Software and Applications Conference, 1991. COMPSAC '91., Proceedings of the Fifteenth Annual International

Date of Conference:

11-13 Sep 1991