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 / Narayan Desai, Walfredo Cirne (eds.).
JSSPP (Workshop) (19th : 2015 : Hyderabad, India); Desai, Narayan (Narayan L.), editor.; Cirne, Walfredo, editor.; JSSPP (Workshop) (20th : 2016 : Chicago, Ill.)
2017
QA76.58
Available Online

Linked e-resources

Linked Resource
Online Access
Concurrent users
Unlimited
Authorized users
Authorized users
Document Delivery Supplied
Can lend chapters, not whole ebooks

Details

Title
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 / Narayan Desai, Walfredo Cirne (eds.).
Meeting Name
JSSPP (Workshop) (19th : 2015 : Hyderabad, India)
ISBN
9783319617565 (electronic book)
3319617567 (electronic book)
9783319617558
3319617559
DOI
https://doi.org/10.1007/978-3-319-61756-5
Published
Cham, Switzerland : Springer, 2017.
Language
English
Description
1 online resource (x, 279 pages) : illustrations.
Item Number
10.1007/978-3-319-61756-5 doi
Call Number
QA76.58
Dewey Decimal Classification
004.6/18
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.
Note
Includes author index.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed July 21, 2017).
Added Author
Desai, Narayan (Narayan L.), editor.
Cirne, Walfredo, editor.
Added Meeting Name
JSSPP (Workshop) (20th : 2016 : Chicago, Ill.)
Series
Lecture notes in computer science ; 10353.
LNCS sublibrary. SL 1, Theoretical computer science and general issues.
Available in Other Form
Print version: 9783319617558
Linked Resources
Online Access
Record Appears in
Online Resources > Ebooks
All Resources
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.

Browse Subjects

Show more subjects...

Statistics

from
to
Export