Job Scheduling Strategies for Parallel Processing : 19th and 20th International Workshops, JSSPP 2015, Hyderabad, India, May 26, 2015 and JSSPP 2016, Chicago, IL, USA, May 27, 2016, Revised Selected Papers / edited by Narayan Desai, Walfredo Cirne.

Format:

Book

Contributor:

Desai, Narayan (Narayan L.), editor.

Cirne, Walfredo, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

LNCS sublibrary. Theoretical computer science and general issues ; SL 1, 10353.

Theoretical Computer Science and General Issues ; 10353

Language:

English

Subjects (All):

Software engineering.

Computer networks.

Algorithms.

Application software.

Computer simulation.

Software Engineering/Programming and Operating Systems.

Computer Communication Networks.

Algorithm Analysis and Problem Complexity.

Information Systems Applications (incl. Internet).

Simulation and Modeling.

Local Subjects:

Software Engineering/Programming and Operating Systems.

Computer Communication Networks.

Algorithm Analysis and Problem Complexity.

Information Systems Applications (incl. Internet).

Simulation and Modeling.

Physical Description:

1 online resource (X, 279 pages) : 114 illustrations.

Edition:

First edition 2017.

Contained In:

Springer eBooks

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2017.

System Details:

text file PDF

Summary:

This book constitutes the thoroughly refereed post-conference proceedings of the 19th and 20th International Workshop on Job Scheduling Strategies for Parallel Processing, JSSPP 2015 and 2016, held respectively in Hyderabad, India, on May 26, 2015 and in Chicago, IL, USA, on May 27, 2016. The 14 revised full papers presented (7 papers in 2015 and 7 papers in 2016) were carefully reviewed and selected from 28 submissions (14 in 2015 and 14 in 2016). The papers cover the following topics: parallel scheduling raising challenges multiple levels of abstractions; node level parallelism; minimization of energy consumption in task migration within a many-core chip; task replication in real-time scheduling context; data-driven approach to schedule GPU load; the use of lock-free data structures in OS scheduler; the influence between user behaviour (think time, more precisely) and parallel scheduling; Evalix, a predictor for job resource consumption; sophisticated and realistic simulation; space-filling curves leading to better scheduling of large-scale computers; discussion of real-life production experiences.

Contents:

Parallel scheduling challenges raising at multiple levels of abstractions

node level parallelism

Minimization of energy consumption in task migration within a many-core chip;

Task replication in real-time scheduling context

Data-driven approach to schedule GPU load

The use of lock-free data structures in OS scheduler

The influence between user behaviour (think time, more precisely) and parallel scheduling

Evalix, a predictor for job resource consumption

Sophisticated and realistic simulation

Space-filling curves leading to better scheduling of large-scale computers

Discussion of real-life production experiences.

Other Format:

Printed edition:

ISBN:

978-3-319-61756-5

9783319617565

Access Restriction:

Restricted for use by site license.