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Parallel Performance Studies for a Parabolic Test Problem on the Cluster tara Michael Muscedere, Andrew M. Raim, and Matthias K. Gobbert ([removed]) Department of Mathematics and Statistics, University of Maryland
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Document Date: 2011-01-14 14:25:50

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File Size: 2,35 MB

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City

Reading / /

Company

IBM / AMD / iDataPlex / Vendor 2 Press / /

/

Facility

University of Maryland / UMBC High Performance Computing Facility / C hq / /

IndustryTerm

quad-core processor / matrix-free matrix-vector products / interconnect network / individual processors / parallel computing / matrix-vector product / multi-core processors / inner products / dual-core processors / needed matrix-vector products / finite element solution / numerical algorithm / larger systems / numerical solution / quad-core processors / /

OperatingSystem

Linux / /

Organization

University of Maryland / Baltimore County / Department of Mathematics and Statistics / /

Person

Michael Muscedere / Matthias K. Gobbert / Andrew M. Raim / /

Position

representative / scheduler / /

ProgrammingLanguage

C / /

ProvinceOrState

Manitoba / /

Technology

Nehalem processor / Ethernet / CG algorithm / one processor / Nehalem X5550 processors / Linux / two processors / numerical algorithm / individual processors / simulation / operating system / Nehalem processors / /

URL

www.theregister.co.uk/2008/04/23/ibm / www.umbc.edu/hpcf / /

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