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AI Computing Systems,

Edition 1 An Application Driven Perspective

Editors: By Yunji Chen, Ling Li, Wei Li, Qi Guo, Zidong Du and Zichen Xu

Publication Date: 18 Jan 2023

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AI Computing Systems: An Application Driven Perspective adopts the principle of "application-driven, full-stack penetration" and uses the specific intelligent application of "image style migration" to provide students with a sound starting place to learn. This approach enables readers to obtain a full view of the AI computing system. A complete intelligent computing system involves many aspects such as processing chip, system structure, programming environment, software, etc., making it a difficult topic to master in a short time.

Key Features

Provides an in-depth analysis of the underlying principles behind the use of knowledge in intelligent computing systems
Centers around application-driven and full-stack penetration, focusing on the knowledge required to complete this application at all levels of the software and hardware technology stack
Supporting experimental tutorials covering key knowledge points in each chapter provide practical guidance and formalization tools for developing a simple AI computing system

About the author

By Yunji Chen, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China; Ling Li, Institute of Software, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Beijing, China; Wei Li, State Key Lab of Processors, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China; Qi Guo, State Key Lab of Processors, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China; Zidong Du, State Key Lab of Processors, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China and Zichen Xu, School of Mathematics and Computer Science, The Nanchang University, Nanchang, China

1. Introduction
2. Neural Networks
3. Deep Learning
4. Fundamentals of Learning Frameworks
5. Learning Framework Principles
6. Theory behind Deep Learning Processors
7. Architecture for AI Computing Systems
8. AI Programming Language for AI Computing Systems
9. AI Computing Systems Labs

ISBN: 9780323953993

Page Count: 600

Retail Price (USD) :

9780134610993; 9781558601918; 9780262039246

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