Logo image
Back
Circuit design challenges in computing-in-memory for ai edge devices
Conference paper

Circuit design challenges in computing-in-memory for ai edge devices

Xin Si, He Qian, Meng-Fan Chang, Cheng-Xin Xue, Jian-Wei Su, Zhixiao Zhang, Sih-Han Li, Shyh-Shyuan Sheu, Heng-Yuan Lee, Ping-Cheng Chen, …
Proceedings of International Conference on ASIC, 8983627
10/2019
DOI: https://doi.org/10.1109/ASICON47005.2019.8983627

Abstract

Artificial intelligence (AI) Computing-in-memory (CIM) Internet of things (IoT) Nonvolatile memory (NVM) SRAM Hardware and Architecture Electrical and Electronic Engineering
Computing-in-memory (CIM) structures are meant to overcome the memory bottleneck and improve energy efficiency for artificial intelligence (AI) edge devices. In this article, we review recent trends in the development of CIM macros for the Internet of Things and AI applications. We also look at recent advances in the development of CIMs based on SRAM and nonvolatile memory for AI edge devices as well as the challenges involved in circuit design.

Metrics

1 Record Views

Details

Logo image