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Job Scheduling Strategies for Parallel Processing

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Cover of 'Job Scheduling Strategies for Parallel Processing'

Table of Contents

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    Book Overview
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    Chapter 1 Parallel Job Scheduling — A Status Report
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    Chapter 2 Scheduling on the Top 50 Machines
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    Chapter 3 Parallel Computer Workload Modeling with Markov Chains
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    Chapter 4 Enhancements to the Decision Process of the Self-Tuning dynP Scheduler
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    Chapter 5 Reconfigurable Gang Scheduling Algorithm
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    Chapter 6 Time-Critical Scheduling on a Well Utilised HPC System at ECMWF Using Loadleveler with Resource Reservation
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    Chapter 7 Inferring the Topology and Traffic Load of Parallel Programs Running in a Virtual Machine Environment
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    Chapter 8 Multi-toroidal Interconnects: Using Additional Communication Links to Improve Utilization of Parallel Computers
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    Chapter 9 Costs and Benefits of Load Sharing in the Computational Grid
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    Chapter 10 Workload Characteristics of a Multi-cluster Supercomputer
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    Chapter 11 A Dynamic Co-allocation Service in Multicluster Systems
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    Chapter 12 Exploiting Replication and Data Reuse to Efficiently Schedule Data-Intensive Applications on Grids
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    Chapter 13 Performance Implications of Failures in Large-Scale Cluster Scheduling
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    Chapter 14 Are User Runtime Estimates Inherently Inaccurate?
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    Chapter 15 Improving Speedup and Response Times by Replicating Parallel Programs on a SNOW
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    Chapter 16 LOMARC — Lookahead Matchmaking for Multi-resource Coscheduling
Attention for Chapter 8: Multi-toroidal Interconnects: Using Additional Communication Links to Improve Utilization of Parallel Computers
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Chapter title
Multi-toroidal Interconnects: Using Additional Communication Links to Improve Utilization of Parallel Computers
Chapter number 8
Book title
Job Scheduling Strategies for Parallel Processing
Published by
Springer, Berlin, Heidelberg, June 2004
DOI 10.1007/11407522_8
Book ISBNs
978-3-54-025330-3, 978-3-54-031795-1
Authors

Yariv Aridor, Tamar Domany, Oleg Goldshmidt, Edi Shmueli, Jose Moreira, Larry Stockmeier

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 20%
Unknown 4 80%

Demographic breakdown

Readers by professional status Count As %
Other 1 20%
Student > Bachelor 1 20%
Student > Ph. D. Student 1 20%
Student > Master 1 20%
Researcher 1 20%
Other 0 0%
Readers by discipline Count As %
Computer Science 2 40%
Agricultural and Biological Sciences 1 20%
Medicine and Dentistry 1 20%
Engineering 1 20%