An adaptive parallel flow for power distribution network simulation using discrete Fourier transform
ASP-DAC（2010）
摘要
A frequency-time-domain co-simulation flow using discrete Fourier transform (DFT) is introduced in this paper to analyze large power distribution networks (PDN's). The flow not only allows designers to gain an insight to the frequency-domain characteristics of the PDN but also to obtain accurate time-domain voltage responses according to different load current profiles. An adaptive method achieves accurate results within even shorter time compared to the basic DFT flow. In addition, parallel processing is incorporated which leads to a significant reduction in simulation time. Error bounds of the DFT flow are derived to assure the accuracy of simulation results. Experimental results show that the proposed flow has a relative error of 0.093% and a speedup of 10Ã compared to SPICE transient simulation with a single processor.
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关键词
parallel processing,adaptive parallel flow,adaptive method,frequency-time-domain co-simulation flow,accurate time-domain voltage response,frequency-domain analysis,discrete fourier transform,frequency-time domain cosimulation flow,discrete fourier transforms,time-domain analysis,discrete fourier,basic dft flow,integrated circuit design,simulation time,proposed flow,error bound,simulation result,transient simulation,power distribution network simulation,accurate result,circuit simulation,dft flow,solid modeling,frequency domain analysis,frequency domain,relative error,embedded systems,oscillators,time frequency analysis,energy harvesting,model predictive control,time domain
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