Computer Architecture and Design Methodologies

Compact and Fast Machine Learning Accelerator for IoT Devices

Authors: Huang, Hantao, Yu, Hao

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  • Offers readers a systematic and comprehensive literature review of fast and compact machine learning algorithms on IoT devices
  • Provides various techniques on neural network model optimization such as bit-width truncation and matrix (tensor) decomposition
  • Focuses on machine learning architecture design on both CMOS technology and RRAM technology to provide energy-efficient hardware solutions
  • Illustrates design and analysis for real-life applications such as indoor positioning, energy management and network security in smart buildings
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eBook $109.00
price for USA in USD (gross)
  • ISBN 978-981-13-3323-1
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Hardcover $149.99
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  • ISBN 978-981-13-3322-4
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  • Usually dispatched within 3 to 5 business days.
About this book

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.

Table of contents (6 chapters)

Table of contents (6 chapters)

Buy this book

eBook $109.00
price for USA in USD (gross)
  • ISBN 978-981-13-3323-1
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $149.99
price for USA in USD
  • ISBN 978-981-13-3322-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Compact and Fast Machine Learning Accelerator for IoT Devices
Authors
Series Title
Computer Architecture and Design Methodologies
Copyright
2019
Publisher
Springer Singapore
Copyright Holder
Springer Nature Singapore Pte Ltd.
eBook ISBN
978-981-13-3323-1
DOI
10.1007/978-981-13-3323-1
Hardcover ISBN
978-981-13-3322-4
Series ISSN
2367-3478
Edition Number
1
Number of Pages
IX, 149
Number of Illustrations
15 b/w illustrations, 61 illustrations in colour
Topics