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Lustre / Supercomputers / Parallel computing / Clustered file system / Cell / Blue Gene / K computer / Computing / Computer architecture / Network file systems


Visualizing I/O Performance During the BGL Deployment∗† Andrew Uselton, Brian Behlendorf March 13, 2007 Abstract
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Document Date: 2007-04-25 14:31:30

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File Size: 238,02 KB

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City

Lustre / /

Company

IBM / Lawrence Livermore National Laboratory / Cluster File Systems / /

Facility

University of California / /

IndustryTerm

visualization tools / particular server / back-off algorithm / retry/back-off algorithm / real-time display / file systems / federated switch network / lmt tool / /

MusicAlbum

I/O / /

Organization

University of California / Lawrence Livermore National Lab / U.S. Department of Energy / United States Government / /

Person

Joe Slavec / Jay Drew / Terry Heidelberg / Keith Fitzgerald / Ira Weiny / Richard Hedges / Kim Cupps / Bryan Lawver / Marc Stearman / Chris Morrone / Herb Wartens / Jon Hammond / Andrew Uselton / Todd Inglett / Jeff Parker / Brian Behlendorf / /

Position

author / the author of the lmt utility / /

ProvinceOrState

California / /

Technology

TCP/IP retry/back-off algorithm / RAID / TCP/IP / SCSI / back-off algorithm / /

URL

http /

SocialTag