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Job Scheduling Strategies for Parallel Processing [electronic resource] : 9th International Workshop, JSSPP 2003, Seattle, WA, USA, June 24, 2003. Revised Paper / edited by Dror Feitelson, Larry Rudolph, Uwe Schwiegelshohn.

Contributor(s): Material type: TextTextSeries: Lecture Notes in Computer Science ; 2862Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2003Description: VIII, 276 p. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783540397274
Subject(s): Additional physical formats: Printed edition:: No titleDDC classification:
  • 005.43 23
LOC classification:
  • QA76.76.O63
Online resources:
Contents:
Scheduling in HPC Resource Management Systems: Queuing vs. Planning -- TrellisDAG: A System for Structured DAG Scheduling -- SLURM: Simple Linux Utility for Resource Management -- OurGrid: An Approach to Easily Assemble Grids with Equitable Resource Sharing -- Scheduling of Parallel Jobs in a Heterogeneous Multi-site Environment -- A Measurement-Based Simulation Study of Processor Co-allocation in Multicluster Systems -- Grids for Enterprise Applications -- Performance Estimation for Scheduling on Shared Networks -- Scaling of Workload Traces -- Gang Scheduling Extensions for I/O Intensive Workloads -- Parallel Job Scheduling under Dynamic Workloads -- Backfilling with Lookahead to Optimize the Performance of Parallel Job Scheduling -- QoPS: A QoS Based Scheme for Parallel Job Scheduling.
In: Springer eBooks
Item type: E-BOOKS
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IMSc Library Link to resource Available EBK4700

Scheduling in HPC Resource Management Systems: Queuing vs. Planning -- TrellisDAG: A System for Structured DAG Scheduling -- SLURM: Simple Linux Utility for Resource Management -- OurGrid: An Approach to Easily Assemble Grids with Equitable Resource Sharing -- Scheduling of Parallel Jobs in a Heterogeneous Multi-site Environment -- A Measurement-Based Simulation Study of Processor Co-allocation in Multicluster Systems -- Grids for Enterprise Applications -- Performance Estimation for Scheduling on Shared Networks -- Scaling of Workload Traces -- Gang Scheduling Extensions for I/O Intensive Workloads -- Parallel Job Scheduling under Dynamic Workloads -- Backfilling with Lookahead to Optimize the Performance of Parallel Job Scheduling -- QoPS: A QoS Based Scheme for Parallel Job Scheduling.

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The Institute of Mathematical Sciences, Chennai, India