A Fast Method for Steady-State Memristor Crossbar Array Circuit Simulation
Rui Xie, Mingyang Song, Junzhuo Zhou, Jie Mei, Quan Chen

TL;DR
This paper introduces a novel preconditioning method that significantly speeds up steady-state simulations of large memristor crossbar arrays by leveraging their structural regularity and advanced matrix techniques.
Contribution
The paper presents a new preconditioning approach tailored for memristor crossbar arrays, improving simulation efficiency over existing methods.
Findings
The proposed preconditioner accelerates convergence in simulations.
Numerical results show superior performance compared to mainstream preconditioners.
The method effectively exploits the array's structural regularity.
Abstract
In this work we propose an effective preconditioning technique to accelerate the steady-state simulation of large-scale memristor crossbar arrays (MCAs). We exploit the structural regularity of MCAs to develop a specially-crafted preconditioner that can be efficiently evaluated utilizing tensor products and block matrix inversion. Numerical experiments demonstrate the efficacy of the proposed technique compared to mainstream preconditioners.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsEnergy Harvesting in Wireless Networks · Metamaterials and Metasurfaces Applications · Advanced Memory and Neural Computing
