OISMA: On-the-Fly In-Memory Stochastic Multiplication Architecture for Approximate Matrix Multiplication

Artificial intelligence (AI) models are currently driven by a significant upscaling of their complexity, with massive matrix-multiplication workloads representing the major computational bottleneck. In-memory computing (IMC) architectures are proposed to avoid the von Neumann bottleneck. However, bo...

Full description

Bibliographic Details

Published in:	IEEE Journal on Exploratory Solid-State Computational Devices and Circuits
Main Authors:	Shady Agwa, Yihan Pan, Georgios Papandroulidakis, Themis Prodromakis
Format:	Article
Language:	English
Published:	IEEE 2026-01-01
Subjects:	Artificial intelligence (AI) in-memory computing (IMC) resistive random-access memory (RRAM) stochastic computing (SC) unconventional computing
Online Access:	https://ieeexplore.ieee.org/document/11473289/