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Job Scheduling Strategies for Parallel Processing

Overview of attention for book
Cover of 'Job Scheduling Strategies for Parallel Processing'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Parallel Job Scheduling — A Status Report
  3. Altmetric Badge
    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 1: Parallel Job Scheduling — A Status Report
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Chapter title
Parallel Job Scheduling — A Status Report
Chapter number 1
Book title
Job Scheduling Strategies for Parallel Processing
Published in
Lecture notes in computer science, January 2005
DOI 10.1007/11407522_1
Book ISBNs
978-3-54-025330-3, 978-3-54-031795-1
Authors

Dror G. Feitelson, Larry Rudolph, Uwe Schwiegelshohn

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 4%
Hong Kong 1 2%
United Kingdom 1 2%
Mexico 1 2%
China 1 2%
Greece 1 2%
Unknown 45 87%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 40%
Student > Master 11 21%
Researcher 10 19%
Student > Doctoral Student 4 8%
Professor > Associate Professor 3 6%
Other 3 6%
Readers by discipline Count As %
Computer Science 39 75%
Engineering 9 17%
Environmental Science 1 2%
Arts and Humanities 1 2%
Physics and Astronomy 1 2%
Other 1 2%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 March 2014.
All research outputs
#20,223,099
of 22,747,498 outputs
Outputs from Lecture notes in computer science
#6,982
of 8,126 outputs
Outputs of similar age
#136,307
of 139,524 outputs
Outputs of similar age from Lecture notes in computer science
#118
of 132 outputs
Altmetric has tracked 22,747,498 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,126 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 132 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.