DocumentCode
2639125
Title
Middle Surface Approximtaion For Parallel And Distributed Substrate Coupling Analysis
Author
Karami, M.A. ; Masoumi, N.
Author_Institution
Tehran Univ.
fYear
2006
fDate
22-24 June 2006
Firstpage
486
Lastpage
490
Abstract
In this paper a new method for accelerating substrate coupling modeling and analysis is introduced. This method is based on separating substrate to two different parts for simulation. The separation achieved by using a multi layer perceptron neural network, by approximating the middle surface of substrate for finding other points potentials. By separating the substrate, it could be simulated by different parallel processors and time of simulation in this modeling method, decreased typically by 57%. The simulation procedure distributes by applying different boundary conditions resulted from neural network approximation
Keywords
approximation theory; integrated circuit modelling; multilayer perceptrons; substrates; boundary conditions; distributed substrate coupling analysis; middle surface approximation; multilayer perceptron neural network; neural network approximation; parallel processors; parallel substrate coupling analysis; substrate coupling modeling; Analog circuits; Boundary conditions; Circuit noise; Circuit simulation; Computational modeling; Coupling circuits; Digital circuits; Finite difference methods; Neural networks; Noise generators;
fLanguage
English
Publisher
ieee
Conference_Titel
Mixed Design of Integrated Circuits and System, 2006. MIXDES 2006. Proceedings of the International Conference
Conference_Location
Gdynia
Print_ISBN
83-922632-2-7
Type
conf
DOI
10.1109/MIXDES.2006.1706627
Filename
1706627
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