||Number of Pages
||High Performance Computing for Big Data: Methodologies and Applications
Author: Chao Wang
Description: 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.
Table of Content: Section IBig 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 IIEmerging 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