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Parallel computing / Scheduling algorithms / Planning / Scheduling / Job scheduler / Computer cluster / Maui Cluster Scheduler / Computing / Concurrent computing / Job scheduling


THE IMPACT OF ERROR IN USER-PROVIDED BANDWIDTH ESTIMATES ON MULTI-SITE PARALLEL JOB SCHEDULING PERFORMANCE William M. Jones Electrical and Computer Engineering Department United States Naval Academy† Maury Hall room 32
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Document Date: 2007-11-15 07:43:50

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File Size: 248,87 KB

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City

Baltimore / /

Company

IBM / Cluster Computing Systems / High Performance Computing Systems / IEEE Transactions Parallel Distributed Systems / /

Country

United States / China / /

Facility

Clemson University / /

IndustryTerm

internal networks / interconnection network / multi-site / co-allocation scheduling algorithms / individual / multi-cluster systems / multicluster systems / on-line algorithm / computing / mechanism to alleviate network / /

Organization

United States Naval Academy / National Aeronautics and Space Administration / Naval Academy Research Council / United States Navy / ORN / Clemson University / /

Person

Carsten Ernemann / Bill Nitzberg / Yael Schwartzman / Jennifer Hardy / Quinn Snell / Mark Clement / Dan Stanzione / John Ngubiri / Jinhui Qin / Cynthia Bailey Lee / Su-Hui Chiang / David Jackson / Michael A. Bauer / Wesley Emeneker / Volker Hamscher / Dan Tsafrir / Walt Ligon / William M. Jones / Walter B. Ligon III / Mary K. Vernon / Andrea Arpaci-Dusseau / Allan Snavely / Ramin Yahyapour / Dave Jackson / Dror G. Feitelson / Mario van Vliet / Job Slowdown / Brad Settlemyer / Achim Streit / Josh Butikofer / /

Position

Maui scheduler / backfilling FCFS meta-scheduler / scheduler / /

Technology

network interface card / on-line algorithm / Simulation / Multisite co-allocation scheduling algorithms / Parallel Processing / /

URL

http /

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