Toward a Machine Assisted Software Performance Diagnosis Methodology

dc.contributor.authorMathur, Anupen
dc.contributor.authorAbrams, Marcen
dc.contributor.departmentComputer Scienceen
dc.date.accessioned2013-06-19T14:36:26Zen
dc.date.available2013-06-19T14:36:26Zen
dc.date.issued1993-04-01en
dc.description.abstractThis paper discusses a methodology for diagnosing performance problems for parallel and distributed programs. The methodology is based on the formation and testing of hypotheses about the cause of performance bottlenecks. The process is illustrated with a case study of an actual problem arising in a parallel discrete event simulation program in which granularity is a primary bottleneck and barrier implementation is a secondary bottleneck. The paper also describes the evolution of Chitra, a software performance measurement and analysis tool whose objective is to automate certain steps in software performance diagnosis.en
dc.format.mimetypeapplication/pdfen
dc.identifierhttp://eprints.cs.vt.edu/archive/00000354/en
dc.identifier.sourceurlhttp://eprints.cs.vt.edu/archive/00000354/01/TR-93-12.pdfen
dc.identifier.trnumberTR-93-12en
dc.identifier.urihttp://hdl.handle.net/10919/19850en
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.titleToward a Machine Assisted Software Performance Diagnosis Methodologyen
dc.typeTechnical reporten
dc.type.dcmitypeTexten

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