TY - GEN
T1 - FFT-based macromodeling of power delivery network with uncertainties using Latency Insertion Method and stochastic collocation
AU - Kummerer, Robert F.
AU - Chen, Xu
AU - Schutt-Aine, Jose E.
AU - Cangellaris, Andreas C.
N1 - Funding Information:
ACKNOWLEDGMENT This material is based upon work supported by the U.S Army Small Business Innovation Research (SBIR) Program office and the U.S. Army Research Office under Contract No. W911NF-16-C-0125 and by Zhejiang University under Grant No. ZJU Research 083650.
PY - 2018/1/20
Y1 - 2018/1/20
N2 - In this paper, we make use of the Latency Insertion Method, a time domain circuit solver, to generate a frequency domain macromodel for a power delivery network with uncertainties. Using Stochastic Collocation, we are able to significantly reduce computation time over Monte Carlo while achieving comparable statistical results. The advantage of using the Latency Insertion Method is that its computational complexity scales linearly with circuit size, allowing it to become more efficient as circuit size grows.
AB - In this paper, we make use of the Latency Insertion Method, a time domain circuit solver, to generate a frequency domain macromodel for a power delivery network with uncertainties. Using Stochastic Collocation, we are able to significantly reduce computation time over Monte Carlo while achieving comparable statistical results. The advantage of using the Latency Insertion Method is that its computational complexity scales linearly with circuit size, allowing it to become more efficient as circuit size grows.
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U2 - 10.1109/EDAPS.2017.8277043
DO - 10.1109/EDAPS.2017.8277043
M3 - Conference contribution
AN - SCOPUS:85050490850
T3 - 2017 IEEE Electrical Design of Advanced Packaging and Systems Symposium, EDAPS 2017
SP - 1
EP - 3
BT - 2017 IEEE Electrical Design of Advanced Packaging and Systems Symposium, EDAPS 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE Electrical Design of Advanced Packaging and Systems Symposium, EDAPS 2017
Y2 - 14 December 2017 through 16 December 2017
ER -