DocumentCode :
3191156
Title :
A novel clustering scheme for reduced-order macromodeling of massively coupled interconnect structures
Author :
Nouri, Behzad ; Nakhla, Michel S. ; Achar, Ramachandra
Author_Institution :
Dept. of Electron., Carleton Univ., Ottawa, ON, Canada
fYear :
2010
fDate :
25-27 Oct. 2010
Firstpage :
77
Lastpage :
80
Abstract :
An efficient clustering scheme for macromodeling of massively coupled interconnect structures is presented. The proposed method addresses the issue of dense reduced models through a novel reduction algorithm that leads to sparse block-diagonal system matrices. It also overcomes the accuracy degradation, normally associated with the existing port-reduction techniques.
Keywords :
integrated circuit design; integrated circuit interconnections; integrated circuit modelling; matrix algebra; clustering scheme; massively coupled interconnect structure; port reduction technique; reduced order macromodeling; sparse block diagonal system matrix; Clustering algorithms; Computational modeling; Design automation; Integrated circuit interconnections; Integrated circuit modeling; Mathematical model; Transmission line matrix methods;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Performance of Electronic Packaging and Systems (EPEPS), 2010 IEEE 19th Conference on
Conference_Location :
Austin, TX
Print_ISBN :
978-1-4244-6865-2
Electronic_ISBN :
978-1-4244-6866-9
Type :
conf
DOI :
10.1109/EPEPS.2010.5642548
Filename :
5642548
Link To Document :
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