Compact and Fast Machine Learning Accelerator for IoT Devices (Computer Architecture and Design Methodologies)
Authors: Hantao Huang – Hao Yu
ISBN-10: 981133322X
ISBN-13: 9789811333224
Edition 版本: 1st ed. 2019
Released: 2018-12-08
Pages: 149 pages
Book Description
This book presents the latest techniques for machine learning based data analytics on IoT edge devices. A comprehensive literature review on neural network compression and machine learning accelerator is presented from both algorithm level optimization and hardware architecture optimization. Coverage focuses on shallow and deep neural network with real applications on smart buildings. The authors also discuss hardware architecture design with coverage focusing on both CMOS based computing systems and the new emerging Resistive Random-Access Memory (RRAM) based systems. Detailed case studies such as indoor positioning,energy management and intrusion detection are also presented for smart buildings.
1.Introduction
2.Fundamentals and Literature Review
3.Least-Squares-Solver for Shallow Neural Network
4.Tensor-Solver for Deep Neural Network
5.Distributed-Solver for Networked Neural Network
6.Conclusion and Future Works
