3 papers
cs.ET2026
An Instruction Set Architecture for IMPLY-based Memristive Processing-in-Array
Liam Splittgerber, Fabian Seiler, Nima TaheriNejad
The push towards expanded ultra-low-power edge computing necessitates hardware capable of operating under extremely strict energy constraints. Traditional Complementary Metal-Oxide…
cs.ET2024
IMPLY-based Approximate Full Adders for Efficient Arithmetic Operations in Image Processing and Machine Learning
Melanie Qiu, Caoyueshan Fan, Gulafshan +3
To overcome the performance limitations in modern computing, such as the power wall, emerging computing paradigms are gaining increasing importance. Approximate computing offers a…
cs.ET2024
ATOMIC: Automatic Tool for Memristive IMPLY-based Circuit-level Simulation and Validation
Fabian Seiler, Nima TaheriNejad
Since performance improvements of computers are stagnating, new technologies and computer paradigms are hot research topics. Memristor-based In-Memory Computing is one of the promi…