(Download) "Deep In-memory Architectures for Machine Learning" by Mingu Kang, Sujan Gonugondla & Naresh R. Shanbhag ~ eBook PDF Kindle ePub Free

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eBook details

• Title: Deep In-memory Architectures for Machine Learning
• Author : Mingu Kang, Sujan Gonugondla & Naresh R. Shanbhag
• Release Date : January 30, 2020
• Genre: Electrical Engineering,Books,Professional & Technical,Engineering,Computers & Internet,Computers,
• Pages : * pages
• Size : 32859 KB

Description

This book describes the recent innovation of deep in-memory architectures for realizing AI systems that operate at the edge of energy-latency-accuracy trade-offs. From first principles to lab prototypes, this book provides a comprehensive view of this emerging topic for both the practicing engineer in industry and the researcher in academia. The book is a journey into the exciting world of AI systems in hardware.

Describes deep in-memory architectures for AI systems from first principles, covering both circuit design and architectures;Discusses how DIMAs pushes the limits of energy-delay product of decision-making machines via its intrinsic energy-SNR trade-off;Offers readers a unique Shannon-inspired perspective to understand the system-level energy-accuracy trade-off and robustness in such architectures;Illustrates principles and design methods via case studies of actual integrated circuit prototypes with measured results in the laboratory;Presents DIMA's various models to evaluate DIMA's decision-making accuracy, energy, and latency trade-offs with various design parameter.

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