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Job Scheduling Strategies for Parallel Processing [electronic resource] : IPDPS 2000 Workshop, JSSPP 2000, Cancun, Mexico, May 1, 2000 Proceedings /

Contributor(s): Material type: TextTextSeries: Lecture Notes in Computer Science ; 1911Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2000Edition: 1st ed. 2000Description: VIII, 212 p. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783540399971
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 005.43 23
LOC classification:
  • QA76.76.O63
Online resources:
Contents:
Effect of Job Size Characteristics on Job Scheduling Performance -- Improving Parallel Job Scheduling Using Runtime Measurements -- Valuation of Ultra-scale Computing Systems -- System Utilization Benchmark on the Cray T3E and IBM SP -- A Critique of ESP -- Resource Allocation Schemes for Gang Scheduling -- A Tool to Schedule Parallel Applications on Multiprocessors: The NANOS CPU Manager -- Time-Sharing Parallel Jobs in the Presence of Multiple Resource Requirements -- The Performance Impact of Advance Reservation Meta-scheduling -- The Influence of the Structure and Sizes of Jobs on the Performance of Co-allocation -- Load Balancing for Minimizing Execution Time of a Target Job on a Network of Heterogeneous Workstations -- Adaptive Selection of Partition Size for Supercomputer Requests.
In: Springer Nature eBook
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Effect of Job Size Characteristics on Job Scheduling Performance -- Improving Parallel Job Scheduling Using Runtime Measurements -- Valuation of Ultra-scale Computing Systems -- System Utilization Benchmark on the Cray T3E and IBM SP -- A Critique of ESP -- Resource Allocation Schemes for Gang Scheduling -- A Tool to Schedule Parallel Applications on Multiprocessors: The NANOS CPU Manager -- Time-Sharing Parallel Jobs in the Presence of Multiple Resource Requirements -- The Performance Impact of Advance Reservation Meta-scheduling -- The Influence of the Structure and Sizes of Jobs on the Performance of Co-allocation -- Load Balancing for Minimizing Execution Time of a Target Job on a Network of Heterogeneous Workstations -- Adaptive Selection of Partition Size for Supercomputer Requests.

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