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This book presents state-of-the-art research, methodologies, and applications of high performance computing for big data applications. It covers fundamental issues in Big Data research, including emerging architectures for data-intensive applications, novel analytical strategies to boost data processing, and cutting-edge applications.
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.
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