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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 /

Contributor(s): Feitelson, Dror [editor.] | Rudolph, Larry [editor.] | Schwiegelshohn, Uwe [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Computer Science: 2862Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2003.Description: VIII, 276 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783540397274.Subject(s): Computer science | Arithmetic and logic units, Computer | Microprocessors | Architecture, Computer | Computer programming | Operating systems (Computers) | Computers | Computer Science | Computer System Implementation | Operating Systems | Arithmetic and Logic Structures | Processor Architectures | Programming Techniques | Computation by Abstract DevicesOnline resources: Click here to access online
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
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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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