Work

MIX-ACIM: A 28-nm Mixed-Precision Analog Compute-in-Memory With Digital Feature Restoration for Vector-Matrix Multiplication

Year: 2025

Type: article

Source: IEEE Solid-State Circuits Letters

DOI: 10.1109/lssc.2025.3590757

Authors: Wei-Chun Wang, Shida Zhang, Laith Shamieh, Narasimha Vasishta Kidambi, Isha Chakraborty, Saibal Mukhopadhyay

Institution: Georgia Institute of Technology

Language: English

Topic: Advanced Memory and Neural Computing

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

Funders: Semiconductor Research Corporation, Defense Advanced Research Projects Agency

Awards: G1147618195, G2490850841

OpenAlex ID: W4412566901

FWCI: 1.386

Cites: 12

Cited by: 6

Related to: 10