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.
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.
Inhaltsangabe
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
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
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