Deep In-memory Architectures for Machine Learning

Kang, Mingu/ Gonugondla, Sujan/ Shanbhag, Naresh R.

Springer Nature Switzerland AG（2020/01発売）

• 製本 Hardcover:ハードカバー版／ページ数 174 p.
• 言語 ENG
• 商品コード 9783030359706
• DDC分類 621

Full 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.

Contents

Introduction.- The Deep In-memory Architecture (DIMA).- DIMA Prototype Integrated Circuits.- A Variation-Tolerant DIMA via On-Chip Training.- Mapping Inference Algorithms to DIMA.- PROMISE: A DIMA-based Accelerator.- Future Prospects.- Index.