3 papers
cs.AR2024
Look-Up Table based Neural Network Hardware
Ovishake Sen, Chukwufumnanya Ogbogu, Peyman Dehghanzadeh +4
Traditional digital implementations of neural accelerators are limited by high power and area overheads, while analog and non-CMOS implementations suffer from noise, device mismatc…
cs.AI2024
Fusion Intelligence: Confluence of Natural and Artificial Intelligence for Enhanced Problem-Solving Efficiency
Rohan Reddy Kalavakonda, Junjun Huan, Peyman Dehghanzadeh +3
This paper introduces Fusion Intelligence (FI), a bio-inspired intelligent system, where the innate sensing, intelligence and unique actuation abilities of biological organisms suc…
cs.AR2023
LUNA-CIM: Lookup Table based Programmable Neural Processing in Memory
Peyman Dehghanzadeh, Baibhab Chatterjee, Swarup Bhunia
This paper presents a novel approach for performing computations using Look-Up Tables (LUTs) tailored specifically for Compute-in-Memory applications. The aim is to address the sca…