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Chen, Quan.

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Task scheduling for multi-core and parallel architectures = challenges, solutions and perspectives /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Task scheduling for multi-core and parallel architectures/ by Quan Chen, Minyi Guo.
Reminder of title:	challenges, solutions and perspectives /
Author:	Chen, Quan.
other author:	Guo, Minyi.
Published:	Singapore :Springer Singapore : : 2017.,
Description:	xviii, 243 p. :ill., digital ;24 cm.
[NT 15003449]:	Chapter 1 Introduction -- Chapter 2 Conventional Task Scheduling - Chapter 3 Task Scheduling for Multi-socket Architecture -- Chapter 4 Task Scheduling for NUMA-enabled Architecture -- Chapter 5 Task Scheduling for Asymmetric Multi-core Architecture -- Chapter 6 Task Scheduling for Heterogeneous Parallel Architecture - Chapter 7 Task Scheduling for Datacenter -- Chapter 8 Task Scheduling for Distributed System -- Chapter 9 Summary and Perspectives.
Contained By:	Springer eBooks
Subject:	Computer scheduling. -
Online resource:	http://dx.doi.org/10.1007/978-981-10-6238-4
ISBN:	9789811062384

Task scheduling for multi-core and parallel architectures = challenges, solutions and perspectives /
Chen, Quan.

Task scheduling for multi-core and parallel architectureschallenges, solutions and perspectives /[electronic resource] :by Quan Chen, Minyi Guo. - Singapore :Springer Singapore :2017. - xviii, 243 p. :ill., digital ;24 cm.

Chapter 1 Introduction -- Chapter 2 Conventional Task Scheduling - Chapter 3 Task Scheduling for Multi-socket Architecture -- Chapter 4 Task Scheduling for NUMA-enabled Architecture -- Chapter 5 Task Scheduling for Asymmetric Multi-core Architecture -- Chapter 6 Task Scheduling for Heterogeneous Parallel Architecture - Chapter 7 Task Scheduling for Datacenter -- Chapter 8 Task Scheduling for Distributed System -- Chapter 9 Summary and Perspectives.

This book presents task-scheduling techniques for emerging complex parallel architectures including heterogeneous multi-core architectures, warehouse-scale datacenters, and distributed big data processing systems. The demand for high computational capacity has led to the growing popularity of multicore processors, which have become the mainstream in both the research and real-world settings. Yet to date, there is no book exploring the current task-scheduling techniques for the emerging complex parallel architectures. Addressing this gap, the book discusses state-of-the-art task-scheduling techniques that are optimized for different architectures, and which can be directly applied in real parallel systems. Further, the book provides an overview of the latest advances in task-scheduling policies in parallel architectures, and will help readers understand and overcome current and emerging issues in this field.

ISBN: 9789811062384

Standard No.: 10.1007/978-981-10-6238-4doiSubjects--Topical Terms:

944065
Computer scheduling.

LC Class. No.: TS157.5

Dewey Class. No.: 004.35

Task scheduling for multi-core and parallel architectures = challenges, solutions and perspectives /
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505 0 $a Chapter 1 Introduction -- Chapter 2 Conventional Task Scheduling - Chapter 3 Task Scheduling for Multi-socket Architecture -- Chapter 4 Task Scheduling for NUMA-enabled Architecture -- Chapter 5 Task Scheduling for Asymmetric Multi-core Architecture -- Chapter 6 Task Scheduling for Heterogeneous Parallel Architecture - Chapter 7 Task Scheduling for Datacenter -- Chapter 8 Task Scheduling for Distributed System -- Chapter 9 Summary and Perspectives.
520 $a This book presents task-scheduling techniques for emerging complex parallel architectures including heterogeneous multi-core architectures, warehouse-scale datacenters, and distributed big data processing systems. The demand for high computational capacity has led to the growing popularity of multicore processors, which have become the mainstream in both the research and real-world settings. Yet to date, there is no book exploring the current task-scheduling techniques for the emerging complex parallel architectures. Addressing this gap, the book discusses state-of-the-art task-scheduling techniques that are optimized for different architectures, and which can be directly applied in real parallel systems. Further, the book provides an overview of the latest advances in task-scheduling policies in parallel architectures, and will help readers understand and overcome current and emerging issues in this field.
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