Evaluating Shared-Cache Performance with Microbenchmarks and Reuse Distance Analysis

dc.contributor.advisorQasem, Apanen_US
dc.contributor.authorVara, Suman
dc.contributor.committeeMemberHazlewood, Carolen_US
dc.contributor.committeeMemberMcKenney, Marken_US
dc.date.accessioned2012-02-01T18:48:33Z
dc.date.available2012-02-01T18:48:33Z
dc.date.issued2011-05en_US
dc.description.abstractEmergence of multicore architectures has opened up new opportunities for thread-level parallelism and dramatically increased the theoretical peak on current systems. However, achieving a high fraction of peak performance requires careful orchestration of many architecture-sensitive parameters. In particular, the presence of shared-caches on multicore architectures makes it necessary to consider, in concert, issues related to both parallelism and data locality. This research evaluates the shared-cache performance of several scientic kernels. A synthetic microbenchmark along with hardware performance counter measurements are used to estimate cache sharing among multiple threads in parallel applications. A novel reuse-distance based algorithm is developed to identify correlations between reused distance patterns and shared-cache utilization.en_US
dc.description.departmentComputer Science
dc.formatText
dc.format.extent53 pages
dc.format.medium1 file (.pdf)
dc.identifier.citationVara, S. (2011). <i>Evaluating shared-cache performance with microbenchmarks and reuse distance analysis</i> (Unpublished thesis). Texas State University-San Marcos, San Marcos, Texas.
dc.identifier.urihttps://hdl.handle.net/10877/2451
dc.language.isoen
dc.subjectParallilism
dc.subjectMulticoreen_US
dc.subject.lcshHigh performance computingen_US
dc.subject.lcshParallel processing (Electronic computers)en_US
dc.subject.lcshMemory management (Computer science)en_US
dc.subject.lcshAdaptive computing systemsen_US
dc.titleEvaluating Shared-Cache Performance with Microbenchmarks and Reuse Distance Analysisen_US
dc.typeThesis
thesis.degree.departmentComputer Science
thesis.degree.disciplineComputer Scienceen_US
thesis.degree.grantorTexas State University-San Marcosen_US
thesis.degree.levelMasters
thesis.degree.nameMaster of Science

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