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arXiv · 2501.01586

GRAMC: General-purpose and reconfigurable analog matrix computing architecture

Lunshuai Pan·Shiqing Wang·Pushen Zuo·Zhong Sun
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Abstract

In-memory analog matrix computing (AMC) with resistive random-access memory (RRAM) represents a highly promising solution that solves matrix problems in one step. However, the existing AMC circuits each have a specific connection topology to implement a single computing function, lack of the universality as a matrix processor. In this work, we design a reconfigurable AMC macro for general-purpose matrix computations, which is achieved by configuring proper connections between memory array and amplifier circuits. Based on this macro, we develop a hybrid system that incorporates an on-chip write-verify scheme and digital functional modules, to deliver a general-purpose AMC solver for various applications.

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Lunshuai Pan, Shiqing Wang, Pushen Zuo, Zhong Sun. 2025-01-03. GRAMC: General-purpose and reconfigurable analog matrix computing architecture. https://arxiv.org/abs/2501.01586

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