Chitra: Visual Analysis of Parallel and Distributed Programs in the Time, Event, and Frequency Domains

  • Authors:
  • M. Abrams;N. Doraswamy;A. Mathur

  • Affiliations:
  • -;-;-

  • Venue:
  • IEEE Transactions on Parallel and Distributed Systems
  • Year:
  • 1992

Quantified Score

Hi-index 0.00

Visualization

Abstract

Chitra analyzes a program execution sequence (PES) collected during execution of aprogram 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, toallow a user to visually guide transform selection in an effort to generate a simple yetaccurate semi-Markov chain model. The resultant chain can predict performance atprogram parameters different than those used in the input PES, and the chain structurecan diagnose performance problems.