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Chitra: visual analysis of parallel and distributed programs in the time, event, and frequency domains

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3 Author(s)
Abrams, M. ; Dept. of Comput. Sci., Virginia Polytech. Inst. & State Univ., Blacksburg, VA, USA ; Doraswamy, N. ; Mathur, A.

Chitra analyzes a program execution sequence (PES) collected during execution of a program and produces a homogeneous, semi-Markov chain model fitting the PES. The PES represents the evolution of a program state vector in time. Therefore Chitra analyzes the time-dependent behavior of a program. The authors describe a set of transforms that map a PES to a simplified PES. Because the transforms are program-independent. Chitra can be used with any program. Chitra provides a visualization of PESs and transforms, to allow a user to visually guide transform selection in an effort to generate a simple yet accurate semi-Markov chain model. The resultant chain can predict performance at program parameters different than those used in the input PES, and the chain structure can diagnose performance problems

Published in:

Parallel and Distributed Systems, IEEE Transactions on  (Volume:3 ,  Issue: 6 )

Date of Publication:

Nov 1992

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