Invited Tutorial: Analog Matrix Computing With Crosspoint Resistive Memory Arrays
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2022.3174920
Abstract: Matrix computation is ubiquitous in modern scientific and engineering fields. Due to the high computational complexity in conventional digital computers, matrix computation represents a heavy workload in many data-intensive applications, e.g., machine learning, scientific computing,… read more here.
Keywords: resistive memory; matrix; memory arrays; analog matrix ... See more keywords
Analog Matrix Inversion Circuit Design for Solving Tridiagonal Linear Systems: A Compact and Decoupled Approach
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Very Large Scale Integration (VLSI) Systems"
DOI: 10.1109/tvlsi.2025.3612422
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… read more here.
Keywords: circuit; linear systems; tridiagonal linear; analog matrix ... See more keywords