Analog Matrix Inversion Circuit Design for Solving Tridiagonal Linear Systems: A Compact and Decoupled Approach

Recently, analog matrix inversion circuits (INV) have demonstrated significant advantages in solving matrix equations. However, solving large-scale sparse tridiagonal linear systems (TLS) using full-scale INV introduces considerable zero regions redundancy and interconnection factors. To address this issue, this article proposes a dedicated INV for solving TLS. The TLS is reformulated into a tightly coupled matrix equation system (CMES), effectively eliminating the zero regions within the array of INV. Very large-scale TLS (VLTLS) are processed by the proposed decoupled INV equipped with a spike algorithm engine. Compared with the general INV, the proposed circuit offers enhanced advantages in compactness and scalability. PSpice-based simulation experiments demonstrate that the proposed circuit achieves a solving accuracy of over 99%. Comprehensive nonidealities are also evaluated, with a curve-fitting accuracy of 98.41%. Utilizing commercial operational amplifier (OA) models, the proposed circuit achieves microsecond-level computation speed, offering a two-order-of-magnitude acceleration compared to conventional software-based approaches. Furthermore, the solution of a 1-D diffusion equation with 1024 internal nodes verifies the effectiveness of the proposed circuit in solving large-scale TLS.

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Publication Details

Journal
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Published
2025-10-09
DOI
https://doi.org/10.1109/tvlsi.2025.3612422
Primary Topic
Advanced Cellulose Research Studies
Type
article
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article

Analog Matrix Inversion Circuit Design for Solving Tridiagonal Linear Systems: A Compact and Decoupled Approach

IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Advanced Cellulose Research Studies
article

Analog Matrix Inversion Circuit Design for Solving Tridiagonal Linear Systems: A Compact and Decoupled Approach

article en

Abstract

Recently, analog matrix inversion circuits (INV) have demonstrated significant advantages in solving matrix equations. However, solving large-scale sparse tridiagonal linear systems (TLS) using full-scale INV introduces considerable zero regions redundancy and interconnection factors. To address this issue, this article proposes a dedicated INV for solving TLS. The TLS is reformulated into a tightly coupled matrix equation system (CMES), effectively eliminating the zero regions within the array of INV. Very large-scale TLS (VLTLS) are processed by the proposed decoupled INV equipped with a spike algorithm engine. Compared with the general INV, the proposed circuit offers enhanced advantages in compactness and scalability. PSpice-based simulation experiments demonstrate that the proposed circuit achieves a solving accuracy of over 99%. Comprehensive nonidealities are also evaluated, with a curve-fitting accuracy of 98.41%. Utilizing commercial operational amplifier (OA) models, the proposed circuit achieves microsecond-level computation speed, offering a two-order-of-magnitude acceleration compared to conventional software-based approaches. Furthermore, the solution of a 1-D diffusion equation with 1024 internal nodes verifies the effectiveness of the proposed circuit in solving large-scale TLS.

IEEE Transactions on Very Large Scale Integration (VLSI) SystemsVol. 33(12)
University of Technology Sydney (AU), Hunan University (CN)
Sustainable cities and communities
Openalex Percentile: Top 54%
Advanced Cellulose Research Studies
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