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Scheduling on AP/Linux for Fine and Coarse Grain Parallel Processes

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Cover of 'Scheduling on AP/Linux for Fine and Coarse Grain Parallel Processes'

Table of Contents

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    Book Overview
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    Chapter 1 Scheduling for Parallel Supercomputing: A Historical Perspective of Achievable Utilization
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    Chapter 2 On the Design and Evaluation of Job Scheduling Algorithms
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    Chapter 3 Comparing Logs and Models of Parallel Workloads Using the Co-plot Method
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    Chapter 4 Benchmarks and Standards for the Evaluation of Parallel Job Schedulers
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    Chapter 5 The Effect of Correlating Quantum Allocation and Job Size for Gang Scheduling
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    Chapter 6 Scheduling on AP/Linux for Fine and Coarse Grain Parallel Processes
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    Chapter 7 Job Re-packing for Enhancing the Performance of Gang Scheduling
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    Chapter 8 Process Tracking for Parallel Job Control
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    Chapter 9 The Legion Resource Management System
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    Chapter 10 Scheduling a Metacomputer with Uncooperative Sub-schedulers
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    Chapter 11 Using Run-Time Predictions to Estimate Queue Wait Times and Improve Scheduler Performance
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    Chapter 12 Deterministic Batch Scheduling without Static Partitioning
Attention for Chapter 3: Comparing Logs and Models of Parallel Workloads Using the Co-plot Method
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Citations

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Chapter title
Comparing Logs and Models of Parallel Workloads Using the Co-plot Method
Chapter number 3
Book title
Job Scheduling Strategies for Parallel Processing
Published by
Springer, Berlin, Heidelberg, April 1999
DOI 10.1007/3-540-47954-6_3
Book ISBNs
978-3-54-066676-9, 978-3-54-047954-3
Authors

David Talby, Dror G. Feitelson, Adi Raveh, Talby, David, Feitelson, Dror G., Raveh, Adi

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 33%
Unknown 2 67%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 67%
Professor 1 33%
Readers by discipline Count As %
Computer Science 2 67%
Business, Management and Accounting 1 33%

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