Fr. 69.00

Job Scheduling Strategies for Parallel Processing - IPPS '97, Workshop, Geneva, Switzerland, April 5, 1997. Proceedings

English · Paperback / Softback

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Description

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This book constitutes the strictly refereed post-workshop proceedings of the 1997 IPPS Workshop on Job Scheduling Strategies for Parallel Processing held in Geneva, Switzerland, in April 1997, as a satelite meeting of the IEEE/CS International Parallel Processing Symposium.
The 12 revised full papers presented were carefully reviewed and revised for inclusion in the book. Also included is a detailed introduction surveying the state of the art in the area. Among the topics covered are processor allocation, parallel scheduling, massively parallel processing, shared-memory architectures, gang scheduling, etc.

List of contents

Theory and practice in parallel job scheduling.- Using queue time predictions for processor allocation.- A historical application profiler for use by parallel schedulers.- Memory usage in the LANL CM-5 workload.- Modeling of workload in MPPs.- PScheD Political scheduling on the CRAY T3E.- An experimental evaluation of processor pool-based scheduling for shared-memory NUMA multiprocessors.- Implementing multiprocessor scheduling disciplines.- Objective-oriented algorithm for job scheduling in parallel heterogeneous systems.- Implications of I/O for gang scheduled workloads.- Improved utilization and responsiveness with gang scheduling.- Global state detection using network preemption.- Performance evaluation of gang scheduling for parallel and distributed multiprogramming.

Product details

Assisted by Dror Feitelson (Editor), Dror G. Feitelson (Editor), Dro G Feitelson (Editor), Dror G Feitelson (Editor), Rudolph (Editor), Rudolph (Editor), Larry Rudolph (Editor)
Publisher Springer, Berlin
 
Languages English
Product format Paperback / Softback
Released 01.01.1960
 
EAN 9783540635741
ISBN 978-3-540-63574-1
No. of pages 305
Weight 414 g
Illustrations VII, 305 p.
Series Lecture Notes in Computer Science
Lecture Notes in Computer Science
Subject Natural sciences, medicine, IT, technology > IT, data processing > Operating systems, user interfaces

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