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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): Feitelson, Dror G [editor.] | Rudolph, Larry [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Computer Science: 1911Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2000.Description: VIII, 212 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783540399971.Subject(s): Computer science | Computer hardware | Microprocessors | Architecture, Computer | Computer programming | Operating systems (Computers) | Algorithms | Computer Science | Operating Systems | Computer System Implementation | Programming Techniques | Algorithm Analysis and Problem Complexity | Processor Architectures | Computer HardwareOnline resources: Click here to access online
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 eBooks
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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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