Author ORCID Identifier
Document Type
Conference Proceeding
Publication Date
5-4-2025
Manuscript Version
am
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 (SC). Our technique extends the computational capabilities of IMC systems and paves the way for lightweight division operations.
Language
English
Publication Title
The 33rd IEEE International Symposium on Field-Programmable Custom Computing Machines (FCCM 2025)
Rights
This is a peer reviewed Accepted Manuscript version of this article and is available through CWRU's Faculty Open Access Policy.
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Recommended Citation
Najafi, M. Hassan and Shoushtari Moghadam, Mehran, "Breaking New Ground: Division Directly in Memory" (2025). The 33rd IEEE International Symposium on Field-Programmable Custom Computing Machines (FCCM 2025). https://commons.case.edu/facultyworks/1
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Computer and Systems Architecture Commons, Digital Circuits Commons, Hardware Systems Commons, VLSI and Circuits, Embedded and Hardware Systems Commons