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Job Scheduling Strategies for Parallel Processing [electronic resource] :7th International Workshop, JSSPP 2001 Cambridge, MA, USA, June 16, 2001 Revised Papers /

Contributor(s): Feitelson, Dror G [editor.] | Rudolph, Larry [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Computer Science: 2221Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2001.Description: VIII, 216 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783540455400.Subject(s): Computer science | Microprocessors | Architecture, Computer | Computer programming | Operating systems (Computers) | Computers | Algorithms | Computer Science | Operating Systems | Programming Techniques | Computer System Implementation | Algorithm Analysis and Problem Complexity | Processor Architectures | Computation by Abstract DevicesOnline resources: Click here to access online
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.
In: Springer eBooksSummary: 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.
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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.

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.

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