Artificial Intelligence Accelerators

Ashutosh Mishra; Pamul Yadav; Shiho Kim

doi:10.1007/978-3-031-22170-5_1

Artificial Intelligence Accelerators

Ashutosh Mishra, Pamul Yadav, Shiho Kim

School of Integrated Technology

Research output: Chapter in Book/Report/Conference proceeding › Chapter

3 Citations (Scopus)

Abstract

Artificial intelligence (AI) algorithms are extremely computational-intensive on voluminous data. AI accelerators are desired to satisfy their hardware demands. This chapter introduces the concepts in AI algorithms from a hardware point of view and provides their hardware requirements. Further, it comprehends the insights of various processor design approaches and discusses their pros and cons. This way, it is organized to bridge the gap between AI experts and hardware designers. Further, it introduces a few emerging approaches to elevate the overall performance of AI accelerators. This chapter also summarizes the entire book organized with the themes of platform-based, technological development-based, emerging application-based AI accelerators and their current issue.

Original language	English
Title of host publication	Artificial Intelligence and Hardware Accelerators
Publisher	Springer International Publishing
Pages	1-52
Number of pages	52
ISBN (Electronic)	9783031221705
ISBN (Print)	9783031221699
DOIs	https://doi.org/10.1007/978-3-031-22170-5_1
Publication status	Published - 2023 Jan 1

Bibliographical note

Publisher Copyright:
© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.

All Science Journal Classification (ASJC) codes

General Engineering
General Computer Science

Access to Document

10.1007/978-3-031-22170-5_1

Cite this

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Artificial Intelligence Accelerators

Abstract

Bibliographical note

All Science Journal Classification (ASJC) codes

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