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

Nonfiction, Computers, Networking & Communications, Hardware, Programming, Software Development, General Computing
Cover of the book Job Scheduling Strategies for Parallel Processing by , Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9783319617565
Publisher: Springer International Publishing Publication: July 11, 2017
Imprint: Springer Language: English
Author:
ISBN: 9783319617565
Publisher: Springer International Publishing
Publication: July 11, 2017
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer International Publishing

Cover of the book An Introduction to Modern Analysis by
Cover of the book Healthcare Interoperability Standards Compliance Handbook by
Cover of the book Electricity-based Fuels by
Cover of the book Modeling Decisions for Artificial Intelligence by
Cover of the book Advances in Mechanics of High-Temperature Materials by
Cover of the book The Rare Earth Elements by
Cover of the book Contemporary Oral Oncology by
Cover of the book A Life Devoted to Quality of Life by
Cover of the book Web and Big Data by
Cover of the book Inertial Confinement Fusion Driven Thermonuclear Energy by
Cover of the book Stereoselective Desymmetrization Methods in the Assembly of Complex Natural Molecules by
Cover of the book Optimization Techniques in Computer Vision by
Cover of the book Computational Methods and Clinical Applications in Musculoskeletal Imaging by
Cover of the book Cardiovascular MR Manual by
Cover of the book Introduction to HPC with MPI for Data Science by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy