Hardware-Software Co-Design for On-Chip Learning in AI Systems | NSF Public Access Repository

skip to main content

An official website of the United States government Here's how you know

Official websites use .gov

A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS

A lock ( lock ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

Citation Details

Hardware-Software Co-Design for On-Chip Learning in AI Systems

Award ID(s):: 1937419

PAR ID:: 10487894

Author(s) / Creator(s):: Varshika, M. L.; Mishra, Abhishek Kumar; Kandasamy, Nagarajan; Das, Anup

Publisher / Repository:: ACM

Date Published:: 2023-01-16

Journal Name:: Asia and South Pacific Design Automation Conference

ISBN:: 9781450397834

Page Range / eLocation ID:: 624 to 631

Format(s):: Medium: X

Location:: Tokyo Japan

Sponsoring Org:: National Science Foundation

Conference Paper:
https://doi.org/10.1145/3566097.3568359