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Job Scheduling Strategies for Parallel Processing : 7th International Workshop, JSSPP 2001, Cambridge, MA, USA, June 16, 2001, Revised Papers / edited by Dror G. Feitelson, Larry Rudolph.

LIBRA Q341 .P7 2004
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Format:
Book
Contributor:
Feitelson, Dror G., editor.
Rudolph, Larry, editor.
SpringerLink (Online service)
Series:
Computer Science (Springer-11645)
Lecture notes in computer science 0302-9743 ; 2221.
Lecture Notes in Computer Science, 0302-9743 ; 2221
Language:
English
Subjects (All):
Operating systems (Computers).
Computer programming.
Computer architecture.
Algorithms.
Microprocessors.
Computers.
Operating Systems.
Programming Techniques.
Computer System Implementation.
Algorithm Analysis and Problem Complexity.
Processor Architectures.
Computation by Abstract Devices.
Local Subjects:
Operating Systems.
Programming Techniques.
Computer System Implementation.
Algorithm Analysis and Problem Complexity.
Processor Architectures.
Computation by Abstract Devices.
Physical Description:
1 online resource (VIII, 216 pages).
Edition:
First edition 2001.
Contained In:
Springer eBooks
Place of Publication:
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2001.
System Details:
text file PDF
Summary:
This book constitutes the thoroughly refereed post-proceedings of the 7th International Workshop on Job Scheduling Strategies for Parallel Processing, JSSPP 2001, held in Cambridge, MA, USA, in June 2001. The 11 revised full papers presented were carefully selected and improved during two rounds of reviewing and revision, and present state-of-the-art results in the area.
Contents:
Performance Evaluation with Heavy Tailed Distributions
SRPT Scheduling for Web Servers
An Efficient and Scalable Coscheduling Technique for Large Symmetric Multiprocessor Clusters
Coscheduling under Memory Constraints in a NOW Environment
The Influence of Communication on the Performance of Co-allocation
Core Algorithms of the Maui Scheduler
On the Development of an Efficient Coscheduling System
Effects of Memory Performance on Parallel Job Scheduling
An Integrated Approach to Parallel Scheduling Using Gang-Scheduling, Backfilling, and Migration
Characteristics of a Large Shared Memory Production Workload
Metrics for Parallel Job Scheduling and Their Convergence.
Other Format:
Printed edition:
ISBN:
978-3-540-45540-0
9783540455400
Access Restriction:
Restricted for use by site license.

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