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Job Scheduling Strategies for Parallel Processing: 13th International Workshop, Jsspp 2007, Seattle, Wa, Usa, June 17, 2007, Revised Papers 2008 Edition
Contributor(s): Frachtenberg, Eitan (Editor), Schwiegelshohn, Uwe (Editor)
ISBN: 3540786988     ISBN-13: 9783540786986
Publisher: Springer
OUR PRICE:   $52.24  
Product Type: Paperback - Other Formats
Published: April 2008
Qty:
Additional Information
BISAC Categories:
- Computers | Systems Architecture - Distributed Systems & Computing
- Computers | Logic Design
- Computers | Operating Systems - General
Dewey: 004.35
Series: Lecture Notes in Computer Science
Physical Information: 0.5" H x 6" W x 9.1" (0.70 lbs) 189 pages
 
Descriptions, Reviews, Etc.
Publisher Description:
th Thisvolumecontainsthepaperspresentedatthe13 workshoponJobSched- ing Strategies for Parallel Processing. The workshop was held in Seattle, WA, USA, on June 17, 2007, in conjunction with ICS 2007. All submitted papers went through a complete review process, with the full versionbeingreadandevaluatedbyanaverageof?vereviewers.Wewouldliketo thanktheProgramCommittee membersandadditionalrefereesfortheirwilli- ness to participate in this e?ort and their excellent, detailed reviews: Nazareno Andrade, Su-Hui Chiang, Walfredo Cirne, Alvaro Coelho, Lauro Costa, Dror Feitelson, Allan Gottlieb, Andrew Grimshaw, Moe Jette, Richard Lagerstrom, Virginia Lo, Reagan Moore, Bill Nitzberg, Mark Squillante, John Towns, Jon Weissman, and Ramin Yahyapour. The accepted workshop papers in recent years show a departure from the supercomputer-centric viewpoint of parallel job scheduling. On the one hand, the ?eld of supercomputer scheduling is showing some signs of maturity, exh- ited in many widely accepted practices for job scheduling. On the other hand, many nontraditionalhigh-performancecomputing andparallelenvironments are emerging as viable solutions to many users and uses that cannot or need not - cess a traditional supercomputer, such as Grids, Web services, and commodity parallelcomputers.With the growingubiquity ofthese technologies, the requi- ment to schedule parallel jobs well on these various architectures also grows.