Artificial Intelligence and Hardware Accelerators / edited by Ashutosh Mishra, Jaekwang Cha, Hyunbin Park, Shiho Kim.

Format:

Book

Contributor:

Mishra, Ashutosh, editor.

Series:

Engineering Series

Language:

English

Subjects (All):

Electronic circuits.

Cooperating objects (Computer systems).

Artificial intelligence.

Electronic Circuits and Systems.

Cyber-Physical Systems.

Artificial Intelligence.

Local Subjects:

Electronic Circuits and Systems.

Cyber-Physical Systems.

Artificial Intelligence.

Physical Description:

1 online resource (358 pages) : illustrations

Edition:

1st ed. 2023.

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2023.

Summary:

This book explores new methods, architectures, tools, and algorithms for Artificial Intelligence Hardware Accelerators. The authors have structured the material to simplify readers’ journey toward understanding the aspects of designing hardware accelerators, complex AI algorithms, and their computational requirements, along with the multifaceted applications. Coverage focuses broadly on the hardware aspects of training, inference, mobile devices, and autonomous vehicles (AVs) based AI accelerators.

Contents:

Introduction

AI Hardware Accelerators

AI Accelerators for Standalone Compute

AI Accelerators for Servers and Cloud Applications

AI Accelerators for Configurable Hardware

Hardware Architecture for Smartphones

Software and Benchmark for Smartphones

Hardware Accelerators for Autonomous Vehicles

Hardware Accelerators in Embedded Systems

Processing-In-Memory based Hardware Accelerator

Emerging CNN Hardware Architectures for Energy-efficient AI

Neuromorphic Hardware Accelerators.

Notes:

Includes bibliographical references.

Description based on publisher supplied metadata and other sources.

ISBN:

9783031221705

3031221702

OCLC:

1373344103