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A New Iterative Method with Krylov Subspace Recycling for Efficient Periodic AC and Noise Analysis
DescriptionRF circuit analysis such as periodic AC (PAC) and noise (PNoise) simulation has been very computationally demanding, especially when the number of frequency points is large. In this paper, we propose a new iterative method with Krylov subspace recycling technology for large-scale PAC and PNoise analysis, which can re-use the Krylov subspace generated during the solutions of previous frequencies to accelerate the convergence of iterative solution at subsequent frequencies. In particular, we derive the recycling method based on the GMRES formulation which is more efficient and robust than the previous recycling method based on the GCR formulation. In addition, we also study the effects of frequency sweeping order to reduce the total number of iterations in the subspace recycling process. Numerical results show that the proposed method can achieve a speed-up of 4.7X-21.2X compared to non-recycling GMRES and up to 24.5% improvement compared to the traditional recycling GCR.
Event Type
Work-in-Progress Poster
TimeWednesday, June 265:00pm - 6:00pm PDT
LocationLevel 2 Lobby
Topics
AI
Autonomous Systems
Cloud
Design
EDA
Embedded Systems
IP
Security