Work

Reconfigurable Precision INT4-8/FP8 Digital Compute-in-Memory Macro for AI Acceleration

Year: 2025

Type: conference-paper

Source: IEEE International Symposium on Circuits and Systems proceedings

DOI: 10.1109/iscas56072.2025.11044064

Authors: Jinane Bazzi, Mohammed E. Fouda, Ahmed Eltawil

Institution: King Abdullah University of Science and Technology

Language: English

Topic: Advanced Memory and Neural Computing

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

Funder: King Abdullah University of Science and Technology

OpenAlex ID: W4411727271

FWCI: 13.8

Cites: 27

Cited by: 6

Related to: 10