High performance computing for big data: methodologies and applications

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

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.

https://www.crcpress.com/High-Performance-Computing-for-Big-Data-Methodologies-and-Applications/Wang/p/book/9781498783996