Task Scheduling for Multi-core and Parallel Architectures

Challenges, Solutions and Perspectives

Nonfiction, Computers, Advanced Computing, Engineering, Computer Architecture, Operating Systems, General Computing
Cover of the book Task Scheduling for Multi-core and Parallel Architectures by Quan Chen, Minyi Guo, Springer Singapore
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Author: Quan Chen, Minyi Guo ISBN: 9789811062384
Publisher: Springer Singapore Publication: November 23, 2017
Imprint: Springer Language: English
Author: Quan Chen, Minyi Guo
ISBN: 9789811062384
Publisher: Springer Singapore
Publication: November 23, 2017
Imprint: Springer
Language: English

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.

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

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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