Breaking New Ground: Division Directly in Memory

In-memory computing (IMC) has emerged as a promising paradigm for overcoming the limitations of traditional von Neumann architectures by reducing data movement and enhancing computational efficiency. Despite significant advancements in this area, implementing complex arithmetic operations, such as division, directly within memory has remained an elusive challenge. This paper introduces a pioneering technique for performing division operations directly in memory, representing the first successful integration of such functionality into the IMC framework. Our approach leverages an innovative circuit based on an unconventional model of computing-stochastic computing. Our technique extends the computational capabilities of IMC systems and paves the way for lightweight division operations.

Authors

Institutions

Publication Details

Published
2025-05-04
DOI
https://doi.org/10.1109/fccm62733.2025.00068
Primary Topic
Ferroelectric and Negative Capacitance Devices
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Breaking New Ground: Division Directly in Memory

M. Hassan Najafi, Sercan Aygün, Mehran Shoushtari Moghadam, Marc D. Riedel et al.
Ferroelectric and Negative Capacitance Devices
article

Breaking New Ground: Division Directly in Memory

M. Hassan Najafi, Sercan Aygün, Mehran Shoushtari Moghadam, Marc D. Riedel, Farzad Razi
article en

Abstract

In-memory computing (IMC) has emerged as a promising paradigm for overcoming the limitations of traditional von Neumann architectures by reducing data movement and enhancing computational efficiency. Despite significant advancements in this area, implementing complex arithmetic operations, such as division, directly within memory has remained an elusive challenge. This paper introduces a pioneering technique for performing division operations directly in memory, representing the first successful integration of such functionality into the IMC framework. Our approach leverages an innovative circuit based on an unconventional model of computing-stochastic computing. Our technique extends the computational capabilities of IMC systems and paves the way for lightweight division operations.

University of Minnesota System (US), Case Western Reserve University (US), University of Louisiana at Lafayette (US)
Openalex Percentile: Top 90%
Ferroelectric and Negative Capacitance Devices
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Breaking New Ground: Division Directly in Memory — M. Hassan Najafi, Sercan Aygün, et al. · (2025) | TGRS Research Map | TGRS