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Job Scheduling Strategies for Parallel Processing
(Englisch)
IPPS/SPDP'98 Workshop, Orlando, Florida, USA, March 30, 1998 Proceedings
Feitelson, Dror G. & Rudolph, Larry

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Job Scheduling Strategies for Parallel Processing

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Produktbeschreibung

This book constitutes the thoroughly refereed post-workshop proceedings of the 4th International Workshop on Job Scheduling Strategies for Parallel Processing held during IPPS/SPDP'98, in Orlando, Florida, USA, in March 1998. The 13 revised full papers presented have gone through an iterated reviewing process and give a report on the state of the art in the area.

Metrics and benchmarking for parallel job scheduling.- A comparative study of real workload traces and synthetic workload models for parallel job scheduling.- Lachesis: A job scheduler for the cray T3E.- A resource management architecture for metacomputing systems.- Implementing the combination of time sharing and space sharing on AP/Linux.- Job scheduling scheme for pure space sharing among rigid jobs.- Predicting application run times using historical information.- Job scheduling strategies for networks of workstations.- Probabilistic loop scheduling considering communication overhead.- Improving first-come-first-serve job scheduling by gang scheduling.- Expanding symmetric multiprocessor capability through gang scheduling.- Overhead analysis of preemptive gang scheduling.- Dynamic coscheduling on workstation clusters.

This book constitutes the thoroughly refereed post-workshop proceedings of the 4th International Workshop on Job Scheduling Strategies for Parallel Processing held during IPPS/SPDP'98, in Orlando, Florida, USA, in March 1998. The 13 revised full papers presented have gone through an iterated reviewing process and give a report on the state of the art in the area.


Inhaltsverzeichnis



Metrics and benchmarking for parallel job scheduling.- A comparative study of real workload traces and synthetic workload models for parallel job scheduling.- Lachesis: A job scheduler for the cray T3E.- A resource management architecture for metacomputing systems.- Implementing the combination of time sharing and space sharing on AP/Linux.- Job scheduling scheme for pure space sharing among rigid jobs.- Predicting application run times using historical information.- Job scheduling strategies for networks of workstations.- Probabilistic loop scheduling considering communication overhead.- Improving first-come-first-serve job scheduling by gang scheduling.- Expanding symmetric multiprocessor capability through gang scheduling.- Overhead analysis of preemptive gang scheduling.- Dynamic coscheduling on workstation clusters.




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