Show simple item record

dc.contributor.authorMathur, Anupen_US
dc.contributor.authorAbrams, Marcen_US
dc.date.accessioned2013-06-19T14:36:26Z
dc.date.available2013-06-19T14:36:26Z
dc.date.issued1993-04-01
dc.identifierhttp://eprints.cs.vt.edu/archive/00000354/en_US
dc.identifier.urihttp://hdl.handle.net/10919/19850
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_US
dc.format.mimetypeapplication/pdfen_US
dc.publisherDepartment of Computer Science, Virginia Polytechnic Institute & State Universityen_US
dc.relation.ispartofHistorical Collection(Till Dec 2001)en_US
dc.titleToward a Machine Assisted Software Performance Diagnosis Methodologyen_US
dc.typeTechnical reporten_US
dc.identifier.trnumberTR-93-12en_US
dc.type.dcmitypeTexten_US
dc.identifier.sourceurlhttp://eprints.cs.vt.edu/archive/00000354/01/TR-93-12.pdf


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record