Job Scheduling Strategies for Parallel Processing: IPPS/SPDP'98 Workshop, Orlando, Florida, USA, March 30, 1998 Proceedings

Author:   Dror G. Feitelson ,  Larry Rudolph
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   1998 ed.
Volume:   1459
ISBN:  

9783540648253


Pages:   266
Publication Date:   05 August 1998
Format:   Paperback
Availability:   In Print   Availability explained
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Job Scheduling Strategies for Parallel Processing: IPPS/SPDP'98 Workshop, Orlando, Florida, USA, March 30, 1998 Proceedings


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Overview

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.

Full Product Details

Author:   Dror G. Feitelson ,  Larry Rudolph
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   1998 ed.
Volume:   1459
Dimensions:   Width: 15.50cm , Height: 1.40cm , Length: 23.50cm
Weight:   0.850kg
ISBN:  

9783540648253


ISBN 10:   3540648259
Pages:   266
Publication Date:   05 August 1998
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

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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