Job Scheduling Strategies for Parallel Processing
Subtitle: IPPS/SPDP'99 Workshop, JSSPP'99, San Juan, Puerto Rico, April 16, 1999, Proceedings (Lecture Notes in Computer Science)
Contributors: Dror G. Feitelson (Editor); Larry Rudolph (Editor)
Edition: 1 edition
Publisher: Springer
Published: November 12, 1999
Language: eng
Format: Paperback
Number of pages: 237
ISBN-13: 9783540666769
Subjects: Algorithms & procedures; Operating systems & graphical user interfaces (GUIs); Parallel Processing; Parallel processing (Electroni; Data Processing - Parallel Processing; Production Engineering; Computers; Computers - General Information; Computer Books: Operating Systems; Manufacturing; General; Programming - General; Computers / Operating Systems / General; Distributed Resources Computing; Job Scheduling; Load Balancing; Multi-User Distributed Systems; Parallel Architectures; Production scheduling; Computer capacity; Parallel processing (Electronic computers); Congresses; Management
Description: Job Scheduling Strategies for Parallel Processing: IPPS/SPDP’99Workshop, JSSPP’99 San Juan, Puerto Rico, April 16, 1999 Proceedings<br />Author: Dror G. Feitelson, Larry Rudolph<br /> Published by Springer Berlin Heidelberg<br /> ISBN: 978-3-540-66676-9<br /> DOI: 10.1007/3-540-47954-6<br /><br />Table of Contents:<p></p><ul><li>Scheduling for Parallel Supercomputing: A Historical Perspective of Achievable Utilization
</li><li>On the Design and Evaluation of Job Scheduling Algorithms
</li><li>Comparing Logs and Models of Parallel Workloads Using the Co-plot Method
</li><li>Benchmarks and Standards for the Evaluation of Parallel Job Schedulers
</li><li>The Effect of Correlating Quantum Allocation and Job Size for Gang Scheduling
</li><li>Scheduling on AP/Linux for Fine and Coarse Grain Parallel Processes
</li><li>Job Re-packing for Enhancing the Performance of Gang Scheduling
</li><li>Process Tracking for Parallel Job Control
</li><li>The Legion Resource Management System
</li><li>Scheduling a Metacomputer with Uncooperative Sub-schedulers
</li><li>Using Run-Time Predictions to Estimate Queue Wait Times and Improve Scheduler Performance
</li><li>Deterministic Batch Scheduling without Static Partitioning</li></ul>