Job Scheduling Strategies for Parallel Processing: 10th International Workshop, JSSPP 2004, New York, NY, USA, June 13, 2004, Revised Selected Papers: Lecture Notes in Computer Science, cartea 3277
Editat de Dror Feitelson, Larry Rudolph, Uwe Schwiegelshohnen Limba Engleză Paperback – 18 apr 2005
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Specificații
ISBN-13: 9783540253303
ISBN-10: 3540253300
Pagini: 332
Ilustrații: VIII, 320 p.
Dimensiuni: 155 x 235 x 17 mm
Greutate: 0.47 kg
Ediția:2005
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Theoretical Computer Science and General Issues
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3540253300
Pagini: 332
Ilustrații: VIII, 320 p.
Dimensiuni: 155 x 235 x 17 mm
Greutate: 0.47 kg
Ediția:2005
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Theoretical Computer Science and General Issues
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchCuprins
Parallel Job Scheduling — A Status Report.- Scheduling on the Top 50 Machines.- Parallel Computer Workload Modeling with Markov Chains.- Enhancements to the Decision Process of the Self-Tuning dynP Scheduler.- Reconfigurable Gang Scheduling Algorithm.- Time-Critical Scheduling on a Well Utilised HPC System at ECMWF Using Loadleveler with Resource Reservation.- Inferring the Topology and Traffic Load of Parallel Programs Running in a Virtual Machine Environment.- Multi-toroidal Interconnects: Using Additional Communication Links to Improve Utilization of Parallel Computers.- Costs and Benefits of Load Sharing in the Computational Grid.- Workload Characteristics of a Multi-cluster Supercomputer.- A Dynamic Co-allocation Service in Multicluster Systems.- Exploiting Replication and Data Reuse to Efficiently Schedule Data-Intensive Applications on Grids.- Performance Implications of Failures in Large-Scale Cluster Scheduling.- Are User Runtime Estimates Inherently Inaccurate?.- Improving Speedup and Response Times by Replicating Parallel Programs on a SNOW.- LOMARC — Lookahead Matchmaking for Multi-resource Coscheduling.
Caracteristici
Includes supplementary material: sn.pub/extras