Persistent Link:
http://hdl.handle.net/10150/577307
Title:
The Case For Hardware Overprovisioned Supercomputers
Author:
Patki, Tapasya
Issue Date:
2015
Publisher:
The University of Arizona.
Rights:
Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
Abstract:
Power management is one of the most critical challenges on the path to exascale supercomputing. High Performance Computing (HPC) centers today are designed to be worst-case power provisioned, leading to two main problems: limited application performance and under-utilization of procured power. In this dissertation we introduce hardware overprovisioning: a novel, flexible design methodology for future HPC systems that addresses the aforementioned problems and leads to significant improvements in application and system performance under a power constraint. We first establish that choosing the right configuration based on application characteristics when using hardware overprovisioning can improve application performance under a power constraint by up to 62%. We conduct a detailed analysis of the infrastructure costs associated with hardware overprovisioning and show that it is an economically viable supercomputing design approach. We then develop RMAP (Resource MAnager for Power), a power-aware, low-overhead, scalable resource manager for future hardware overprovisioned HPC systems. RMAP addresses the issue of under-utilized power by using power-aware backfilling and improves job turnaround times by up to 31%. This dissertation opens up several new avenues for research in power-constrained supercomputing as we venture toward exascale, and we conclude by enumerating these.
Type:
text; Electronic Dissertation
Keywords:
Hardware Overprovisioning; High Performance Computing; Performance Optimization; Power; Supercomputing; Computer Science; Energy Efficiency
Degree Name:
Ph.D.
Degree Level:
doctoral
Degree Program:
Graduate College; Computer Science
Degree Grantor:
University of Arizona
Advisor:
Lowenthal, David K.

Full metadata record

DC FieldValue Language
dc.language.isoen_USen
dc.titleThe Case For Hardware Overprovisioned Supercomputersen_US
dc.creatorPatki, Tapasyaen
dc.contributor.authorPatki, Tapasyaen
dc.date.issued2015en
dc.publisherThe University of Arizona.en
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en
dc.description.abstractPower management is one of the most critical challenges on the path to exascale supercomputing. High Performance Computing (HPC) centers today are designed to be worst-case power provisioned, leading to two main problems: limited application performance and under-utilization of procured power. In this dissertation we introduce hardware overprovisioning: a novel, flexible design methodology for future HPC systems that addresses the aforementioned problems and leads to significant improvements in application and system performance under a power constraint. We first establish that choosing the right configuration based on application characteristics when using hardware overprovisioning can improve application performance under a power constraint by up to 62%. We conduct a detailed analysis of the infrastructure costs associated with hardware overprovisioning and show that it is an economically viable supercomputing design approach. We then develop RMAP (Resource MAnager for Power), a power-aware, low-overhead, scalable resource manager for future hardware overprovisioned HPC systems. RMAP addresses the issue of under-utilized power by using power-aware backfilling and improves job turnaround times by up to 31%. This dissertation opens up several new avenues for research in power-constrained supercomputing as we venture toward exascale, and we conclude by enumerating these.en
dc.typetexten
dc.typeElectronic Dissertationen
dc.subjectHardware Overprovisioningen
dc.subjectHigh Performance Computingen
dc.subjectPerformance Optimizationen
dc.subjectPoweren
dc.subjectSupercomputingen
dc.subjectComputer Scienceen
dc.subjectEnergy Efficiencyen
thesis.degree.namePh.D.en
thesis.degree.leveldoctoralen
thesis.degree.disciplineGraduate Collegeen
thesis.degree.disciplineComputer Scienceen
thesis.degree.grantorUniversity of Arizonaen
dc.contributor.advisorLowenthal, David K.en
dc.contributor.committeememberLowenthal, David K.en
dc.contributor.committeememberDebray, Saumya K.en
dc.contributor.committeememberHartman, John H.en
dc.contributor.committeememberRountree, Barry L.en
dc.contributor.committeememberSchulz, Martin W.en
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