High Performance Computing for Big Data: Methodologies and Applications, 1st Edition (e-Book) book cover

High Performance Computing for Big Data

Methodologies and Applications, 1st Edition

Edited by Chao Wang

Chapman and Hall/CRC

268 pages | 118 B/W Illus.

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pub: 2017-10-10
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Description

High-Performance Computing for Big Data: Methodologies and Applications exploresemerging 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.

Table of Contents

Section I Big Data Architectures

Chapter 1 ◾ Dataflow Model for Cloud Computing Frameworks in Big Data

Dong Dai, Yong Chen, and Gangyong Jia

Chapter 2 ◾ Design of a Processor Core Customized for Stencil Computation

Youyang Zhang, Yanhua Li, and Youhui Zhang

Chapter 3 ◾ Electromigration Alleviation Techniques for 3D Integrated Circuits

Yuanqing Cheng, Aida Todri-Sanial, Alberto Bosio, Luigi Dilillo, Patrick Girard, Arnaud Virazel, Pascal Vivet, and Marc Belleville

Chapter 4 ◾ A 3D Hybrid Cache Design for CMP Architecture for Data-Intensive Applications

Ing-Chao Lin, Jeng-Nian Chiou, and Yun-Kae Law

Section II Emerging Big Data Applications

Chapter 5 ◾ Matrix Factorization for Drug–Target Interaction Prediction

Yong Liu, Min Wu, Xiao-Li Li, and Peilin Zhao

Chapter 6 ◾ Overview of Neural Network Accelerators

Yuntao Lu, Chao Wang, Lei Gong, Xi Li, Aili Wang, and Xuehai Zhou

Chapter 7 ◾ Acceleration for Recommendation Algorithms in Data Mining

Chongchong Xu, Chao Wang, Lei Gong, Xi Li, Aili Wang, and Xuehai Zhou

Chapter 8 ◾ Deep Learning Accelerators

Yangyang Zhao, Chao Wang, Lei Gong, Xi Li, Aili Wang, and Xuehai Zhou

Chapter 9 ◾ Recent Advances for Neural Networks Accelerators and Optimizations

Fan Sun, Chao Wang, Lei Gong, Xi Li, Aili Wang, and Xuehai Zhou

Chapter 10 ◾ Accelerators for Clustering Applications in Machine Learning

Yiwei Zhang, Chao Wang, Lei Gong, Xi Li, Aili Wang, and Xuehai Zhou

Chapter 11 ◾ Accelerators for Classification Algorithms in Machine Learning

Shiming Lei, Chao Wang, Lei Gong, Xi Li, Aili Wang, and Xuehai Zhou

Chapter 12 ◾ Accelerators for Big Data Genome Sequencing

Haijie Fang, Chao Wang, Shiming Lei, Lei Gong, Xi Li, Aili Wang, and Xuehai Zhou

About the Editor

Prof. Chao Wang received B.S. and Ph.D. degrees from School of Computer Science, University of Science and Technology of China, in 2006 and 2011 respectively. He has been a postdoctoral researcher in USTC from 2011 to 2013. He also worked with Infineon Technologies A.G. in 2007-2008. He is the associate editor of Microprocessors and Microsystems, IET Computers & Digital Techniques, and International Journal of Electronics.

About the Series

Chapman & Hall/CRC Big Data Series

Learn more…

Subject Categories

BISAC Subject Codes/Headings:
BUS061000
BUSINESS & ECONOMICS / Statistics
COM000000
COMPUTERS / General
COM012040
COMPUTERS / Programming / Games
COM021030
COMPUTERS / Database Management / Data Mining