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GRAMC: General-purpose and reconfigurable analog matrix computing architecture

2025/01/03 by Lunshuai Pan, Shiqing Wang, Pan, Lunshuai +5
Engineering · #Analog and Mixed-Signal Circuit Design #Low-power high-performance VLSI design #VLSI and FPGA Design Techniques

paper · pdf · doi:10.48550/arxiv.2501.01586

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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