Operator-based model-order reduction of linear periodically time-varying systems

eriodically time-varying (LPTV) abstractions are useful for a variety of communication and computer subsystems. In this paper, we present a novel operator-based model-order reduction (MOR) algorithm for reducing large LPTV systems to smaller ones, a capability useful for system-level performance analysis. Our procedure is based on generalizing existing matrix-based Krylov-subspace algorithms to arbitrary function-space operators. Practical benefits of our approach include significantly enhanced algorithm and code modularity, compared to previous LPTV-MOR approaches based on a-priori discretization. We demonstrate the use of the proposed technique on several circuit examples. Categories and Subject Descriptors: B.7.2 [Integrated Circuits]: Design Aids-simulation General Terms: Algorithms

• Type: Conference
• Year: 2005
• Where: DAC
• Authors: Yayun Wan, Jaijeet S. Roychowdhury
• Keywords: DAC 2005, Design Automation, Large Lptv Systems, Matrix-based Krylov-subspace Algorithms, System-level Performance Analysis