High-Performance Computing for Big Data: Methodologies and
Applications explores emerging high-performance architectures for
data-intensive applications, novel efficient analytical strategies
to boost data processing, and cutting-edge applications in diverse
fields, such as machine learning, life science, neural networks,
and neuromorphic engineering. The book is organized into two main
sections. The first section covers Big Data architectures,
including cloud computing systems, and heterogeneous accelerators.
It also covers emerging 3D IC design principles for memory
architectures and devices. The second section of the book
illustrates emerging and practical applications of Big Data across
several domains, including bioinformatics, deep learning, and
neuromorphic engineering. Features Covers a wide range of Big Data
architectures, including distributed systems like Hadoop/Spark
Includes accelerator-based approaches for big data applications
such as GPU-based acceleration techniques, and hardware
acceleration such as FPGA/CGRA/ASICs Presents emerging memory
architectures and devices such as NVM, STT- RAM, 3D IC design
principles Describes advanced algorithms for different big data
application domains Illustrates novel analytics techniques for Big
Data applications, scheduling, mapping, and partitioning
methodologies Featuring contributions from leading experts, this
book presents state-of-the-art research on the methodologies and
applications of high-performance computing for big data
applications. About the Editor Dr. Chao Wang is an Associate
Professor in the School of Computer Science at the University of
Science and Technology of China. He is the Associate Editor of ACM
Transactions on Design Automations for Electronics Systems
(TODAES), Applied Soft Computing, Microprocessors and Microsystems,
IET Computers & Digital Techniques, and International Journal
of Electronics. Dr. Chao Wang was the recipient of Youth Innovation
Promotion Association, CAS, ACM China Rising Star Honorable Mention
(2016), and best IP nomination of DATE 2015. He is now on the CCF
Technical Committee on Computer Architecture, CCF Task Force on
Formal Methods. He is a Senior Member of IEEE, Senior Member of
CCF, and a Senior Member of ACM.
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