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

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dc.contributor.authorAbrams, Marcen
dc.contributor.authorDoraswamy, Nagananden
dc.contributor.authorMathur, Anupen
dc.contributor.departmentComputer Scienceen
dc.date.accessioned2013-06-19T14:35:58Zen
dc.date.available2013-06-19T14:35:58Zen
dc.date.issued1992en
dc.description.abstractChitra 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 paper describes 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 PES's and transforms, to allow a user visually to 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.en
dc.format.mimetypeapplication/pdfen
dc.identifierhttp://eprints.cs.vt.edu/archive/00000304/en
dc.identifier.sourceurlhttp://eprints.cs.vt.edu/archive/00000304/01/TR-92-24.pdfen
dc.identifier.trnumberTR-92-24en
dc.identifier.urihttp://hdl.handle.net/10919/19748en
dc.language.isoenen
dc.publisherDepartment of Computer Science, Virginia Polytechnic Institute & State Universityen
dc.relation.ispartofHistorical Collection(Till Dec 2001)en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.titleChitra: Visual Analysis of Parallel and Distributed Programs in the Time, Event, and Frequency Domainsen
dc.typeTechnical reporten
dc.type.dcmitypeTexten

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