A Distributed Emulation Environment for In-Memory Computing Systems

In-memory computing technology is used extensively in artificial intelligence devices due to lower power consumption and fast calculation of matrix-based functions. The development of such a device and its integration in a system takes a significant amount of time and requires the use of a real-time emulation environment, where various system aspects are analyzed, microcode is tested, and applications are deployed, even before the real chip is available. In this work, we present the architecture, the software development tools, and experimental results of a distributed and expandable emulation system for rapid prototyping of integrated circuits based on in-memory computing technologies. Presented experimental results demonstrate the usefulness of the proposed emulator.

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Publication Details

Journal
ArXiv.org
Published
2025-10-09
DOI
https://doi.org/10.1109/i2mtc62753.2025.11078997
Citations
1
Primary Topic
Cloud Computing and Resource Management
Type
article
Field-Weighted Citation Impact
3.25
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A Distributed Emulation Environment for In-Memory Computing Systems

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article

A Distributed Emulation Environment for In-Memory Computing Systems

Eleni Bougioukou, Nikolaos Toulgaridis, Theodore Antonakopoulos, Αναστάσιος Πετρόπουλος, Theodoros Chatzimichail
article en
1 citations

Abstract

In-memory computing technology is used extensively in artificial intelligence devices due to lower power consumption and fast calculation of matrix-based functions. The development of such a device and its integration in a system takes a significant amount of time and requires the use of a real-time emulation environment, where various system aspects are analyzed, microcode is tested, and applications are deployed, even before the real chip is available. In this work, we present the architecture, the software development tools, and experimental results of a distributed and expandable emulation system for rapid prototyping of integrated circuits based on in-memory computing technologies. Presented experimental results demonstrate the usefulness of the proposed emulator.

ArXiv.org
University of Patras (GR)
Openalex Percentile: Top 7%
Cloud Computing and Resource Management
3.25
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