Efficient Model Order Reduction of Electrical Networks with Many Ports by Denis Oyaro

Efficient Model Order Reduction of Electrical Networks with Many Ports Denis Oyaro Master of Applied Science Graduate Department of The Edward S. Rogers Sr. Department of Electrical and Computer Engineering University of Toronto 2015 Model order reduction of electrical networks plays a key role in accelerating circuit simulations. Traditional reduction methods, however, do not scale well with network size and number of ports, since they utilize dense matrix manipulations that require a lot of memory and CPU time. In addition, the obtained reduced models are dense and thus inefficient in subsequent simulations. In this thesis, we propose TurboMOR, an efficient reduction technique for RC networks with many ports. TurboMOR performs reduction efficiently by avoiding dense matrix manipulations. TurboMOR overcomes the scalability and accuracy limitations of previouslyproposed methods. TurboMOR guarantees passivity by construction and leads to sparse models that run efficiently in conventional circuit simulators.