An Analysis of Conventional & Heterogenous Workloads on Production Supercomputing Resources

dc.contributor.authorBerkhahn, Jonathan Allenen
dc.contributor.committeechairButt, Ali R.en
dc.contributor.committeememberKim, Byoung-Doen
dc.contributor.committeememberCao, Yongen
dc.contributor.departmentComputer Scienceen
dc.date.accessioned2013-06-07T08:00:49Zen
dc.date.available2013-06-07T08:00:49Zen
dc.date.issued2013-06-06en
dc.description.abstractCloud computing setups are a huge investment of resources and personnel to maintain. As<br />the workload on a system is a major contributing factor to both the performance of the<br />system and a representation of the needs of system users, a clear understanding of the<br />workload is critical to organizations that support supercomputing systems. In this paper,<br />we analyze traces from two production level supercomputers to infer the characteristics of<br />their workloads, and make observations as to the needs of supercomputer users based on<br />them. We particularly focus on the usage of graphical processing units by domain<br />scientists. Based on this analysis, we generate a synthetic workload that can be used for<br />testing future systems, and make observations as to e"cient resource provisioning.en
dc.description.degreeMaster of Scienceen
dc.format.mediumETDen
dc.identifier.othervt_gsexam:1293en
dc.identifier.urihttp://hdl.handle.net/10919/23172en
dc.publisherVirginia Techen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectWorkload synthesisen
dc.subjectresource provisioningen
dc.subjectheterogenous computingen
dc.titleAn Analysis of Conventional & Heterogenous Workloads on Production Supercomputing Resourcesen
dc.typeThesisen
thesis.degree.disciplineComputer Science and Applicationsen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

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