Task Scheduling for Multi-core and Parallel Architectures Challenges, Solutions and Perspectives / by Quan Chen, Minyi Guo.

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 multic...

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Bibliographic Details
Main Authors: Chen, Quan (Author), Guo, Minyi (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Singapore : Springer Singapore : Imprint: Springer, 2017.
Edition:1st ed. 2017.
Series:Springer eBook Collection.
Subjects:
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.

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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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