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Job Scheduling Strategies for Parallel Processing [electronic resource] : 23rd International Workshop, JSSPP 2020, New Orleans, LA, USA, May 22, 2020, Revised Selected Papers / edited by Dalibor Klusáček, Walfredo Cirne, Narayan Desai.

Contributor(s): Klusáček, Dalibor [editor.] | Cirne, Walfredo [editor.] | Desai, Narayan [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Theoretical Computer Science and General Issues: 12326Publisher: Cham : Springer International Publishing : Imprint: Springer, 2020Edition: 1st ed. 2020.Description: IX, 163 p. 77 illus., 45 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783030631710.Subject(s): Software engineering | Computer engineering | Computer networks  | Microprogramming  | Computer input-output equipment | Artificial intelligence | Software Engineering | Computer Engineering and Networks | Computer Engineering and Networks | Control Structures and Microprogramming | Input/Output and Data Communications | Artificial IntelligenceAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 005.1 Online resources: Click here to access online
Contents:
Towards Interference-aware Dynamic Scheduling in Virtualized Environments -- Towards Hybrid Isolation for Shared Multicore Systems -- Improving Resource Isolation of Critical Tasks in a Workload -- Optimizing Biomedical Ultrasound Workflow Scheduling Using Cluster Simulations -- Evaluating Controlled Memory Request Injection to Counter PREM Memory Underutilization -- Accelerating 3-way Epistasis Detection with CPU+GPU processing -- Walltime Prediction and its Impact on Job Scheduling Performance and Predictability -- PDAWL: Profile-based Iterative Dynamic Adaptive WorkLoad Balance on Heterogeneous Architectures.
In: Springer Nature eBookSummary: This book constitutes the thoroughly refereed post-conference proceedings of the 23rd International Workshop on Job Scheduling Strategies for Parallel Processing, JSSPP 2020, held in New Orleans, LA, USA, in May 2020.* The 6 revised full papers presented were carefully reviewed and selected from 8 submissions. In addition to this, one invited paper and one keynote pare were included in the workshop. The papers cover topics within the fields of resource management and scheduling. They focus on several interesting problems such as resource contention and workload interference, new scheduling policy, scheduling ultrasound simulation workflows, and walltime prediction. * The conference was held virtually due to the COVID-19 pandemic.
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Towards Interference-aware Dynamic Scheduling in Virtualized Environments -- Towards Hybrid Isolation for Shared Multicore Systems -- Improving Resource Isolation of Critical Tasks in a Workload -- Optimizing Biomedical Ultrasound Workflow Scheduling Using Cluster Simulations -- Evaluating Controlled Memory Request Injection to Counter PREM Memory Underutilization -- Accelerating 3-way Epistasis Detection with CPU+GPU processing -- Walltime Prediction and its Impact on Job Scheduling Performance and Predictability -- PDAWL: Profile-based Iterative Dynamic Adaptive WorkLoad Balance on Heterogeneous Architectures.

This book constitutes the thoroughly refereed post-conference proceedings of the 23rd International Workshop on Job Scheduling Strategies for Parallel Processing, JSSPP 2020, held in New Orleans, LA, USA, in May 2020.* The 6 revised full papers presented were carefully reviewed and selected from 8 submissions. In addition to this, one invited paper and one keynote pare were included in the workshop. The papers cover topics within the fields of resource management and scheduling. They focus on several interesting problems such as resource contention and workload interference, new scheduling policy, scheduling ultrasound simulation workflows, and walltime prediction. * The conference was held virtually due to the COVID-19 pandemic.

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