Title :
Middle Surface Approximtaion For Parallel And Distributed Substrate Coupling Analysis
Author :
Karami, M.A. ; Masoumi, N.
Author_Institution :
Tehran Univ.
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;
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
DOI :
10.1109/MIXDES.2006.1706627
