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

SpringerLink Books Lecture Notes In Computer Science (LNCS) (1997-2024) Available online

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Format:
Book
Contributor:
Klusáĉek, Dalibor, Editor.
Cirne, Walfredo, Editor.
Desai, Narayan, Editor.
SpringerLink (Online service)
Series:
Computer Science (SpringerNature-11645)
LNCS sublibrary. Theoretical computer science and general issues 2512-2029 ; SL 1, 12326
Theoretical Computer Science and General Issues, 2512-2029 ; 12326
Language:
English
Subjects (All):
Software engineering.
Computer engineering.
Computer networks.
Microprogramming.
Computer input-output equipment.
Artificial intelligence.
Software Engineering.
Computer Engineering and Networks.
Control Structures and Microprogramming.
Input/Output and Data Communications.
Artificial Intelligence.
Local Subjects:
Software Engineering.
Computer Engineering and Networks.
Control Structures and Microprogramming.
Input/Output and Data Communications.
Artificial Intelligence.
Physical Description:
1 online resource (IX, 163 pages) : 77 illustrations, 45 illustrations in color.
Edition:
1st edition 2020.
Contained In:
Springer Nature eBook
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2020.
System Details:
text file PDF
Summary:
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.
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.
Other Format:
Printed edition:
ISBN:
978-3-030-63171-0
9783030631710
Access Restriction:
Restricted for use by site license.

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