ARYABHAT: A Digital-Like Field Programmable Analog Computing Array for Edge AI-Reference-Cited by-同舟云学术

ARYABHAT: A Digital-Like Field Programmable Analog Computing Array for Edge AI

Published:2024-05 Issue:5 Volume:71 Page:2252-2265
ISSN:1549-8328
Container-title:IEEE Transactions on Circuits and Systems I: Regular Papers
language:
Short-container-title:IEEE Trans. Circuits Syst. I

Author:

Kumar Pratik¹^ORCID,Nandi Ankita¹^ORCID,Saha Ayan¹,Teja Kurupati Sai Pruthvi¹^ORCID,Das Ratul¹,Chakrabartty Shantanu²^ORCID,Thakur Chetan Singh¹^ORCID

Affiliation:

1. Department of Electronic Systems Engineering, NeuRonICS Laboratory, Indian Institute of Science, Bengaluru, India

2. Department of Electrical and Systems Engineering, Washington University in St. Louis, St. Louis, MO, USA

Funder

Department of Science and Technology of India

Indian National Academy of Engineering

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/8919/10510354/10391073.pdf?arnumber=10391073

Reference22 articles.

1. Synthesis of Bias-Scalable CMOS Analog Computational Circuits Using Margin Propagation

2. Process, Bias, and Temperature Scalable CMOS Analog Computing Circuits for Machine Learning

3. Bias-Scalable Near-Memory CMOS Analog Processor for Machine Learning

4. A Continuous-Time ADC/DSP/DAC System With No Clock and With Activity-Dependent Power Dissipation

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