Description: Task Scheduling for Multi-core and Parallel Architectures 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. FORMAT Hardcover LANGUAGE English CONDITION Brand New Publisher Description 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. Back Cover 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. Author Biography Quan Chen is currently an assistant professor at the Department of Computer Science and Engineering, Shanghai Jiao Tong University (SJTU), Shanghai, China. Before joining the SJTU, he pursued his post-doctoral research at the University of Michigans Department of Computer Science, Ann Arbor, USA from 2014 to 2016. He received his MS degree in 2009 and his PhD degree in 2014, both from the SJTU. During his PhD, he was a research associate at the Department of Computer Science of Columbia University, USA from 2013 to 2014. From 2010 to 2011, he was a visiting scholar at the Department of Computer Science, University of Otago, New Zealand. His research interests include high-performance computing, task scheduling for various architectures, and resource management in datacenters, runtime systems and operating systems. His dissertation was honored with the Shanghai Excellent Doctoral Dissertation Award and the China Computer Federation (CCF) Excellent Doctoral Dissertation Award. Minyi Guo is a Zhiyuan Chair Professor and head of the Department of Computer Science and Engineering at Shanghai Jiao Tong University (SJTU), Shanghai, China. He is also the director of the SJTUs Embedded and Pervasive Computing Center. He received his BS and ME degrees in Computer Science from Nanjing University, China in 1982 and 1986, respectively. From 1986 to 1994, he served as an assistant professor at the Department of Computer Science, Nanjing University. He received his PhD degree in Information Science from the University of Tsukuba, Japan in 1998. His research interests include parallel and distributed processing, parallelizing compilers, cloud computing, pervasive computing, software engineering, embedded systems, green computing, and wireless sensor networks. He is an associate editor for IEEE Transactions on Parallel and Distributed Systems (TPDS), Journal of Parallel and Distributed Computing (JPDC), and Journal of Computer Science and Technology(JCST). He has published numerous articles in prominent journals, and has authored books with Springer. Further, he has led many research projects including Natural Science Foundation of China (NSFC) projects, 863 projects and 973 projects. Table of Contents 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. Feature Introduces readers to the latest advances in task-scheduling approaches for todays complex architectures Provides practitioners and professionals valuable experiences and insights on concrete applications to parallel systems Includes original ideas and novel task-scheduling algorithms for the new scenarios of multi-core architectures Discusses current and emerging problems in task-scheduling techniques for complex parallel architectures Description for Sales People Introduces readers to the latest advances in task-scheduling approaches for todays complex architectures Provides practitioners and professionals valuable experiences and insights on concrete applications to parallel systems Includes original ideas and novel task-scheduling algorithms for the new scenarios of multi-core architectures Discusses current and emerging problems in task-scheduling techniques for complex parallel architectures Details ISBN9811062374 Author Minyi Guo Publisher Springer Verlag, Singapore Edition 1st ISBN-10 9811062374 ISBN-13 9789811062377 Format Hardcover Imprint Springer Verlag, Singapore Subtitle Challenges, Solutions and Perspectives Place of Publication Singapore Country of Publication Singapore Language English DEWEY 004.22 Pages 243 Year 2017 Publication Date 2017-12-11 Short Title Task Scheduling for Multi-Core and Parallel Architectures UK Release Date 2017-12-11 Translator Yan Liu Edited by Zeguang Lu Birth 1974 Affiliation Massachusetts Institute of Technology Position journalist Qualifications S. J. Edition Description 1st ed. 2017 Alternative 9789811348358 Audience Postgraduate, Research & Scholarly Illustrations 73 Illustrations, color; 34 Illustrations, black and white; XVIII, 243 p. 107 illus., 73 illus. in color. We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:127857834;
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ISBN-13: 9789811062377
Book Title: Task Scheduling for Multi-core and Parallel Architectures
Number of Pages: 243 Pages
Language: English
Publication Name: Task Scheduling for Multi-Core and Parallel Architectures: Challenges, Solutions and Perspectives
Publisher: Springer Verlag, Singapore
Publication Year: 2017
Subject: Computer Science
Item Height: 235 mm
Item Weight: 5207 g
Type: Textbook
Author: Minyi Guo, Quan Chen
Item Width: 155 mm
Format: Hardcover