| US 7,509,243 B2 | ||
| Method of determining high-speed VLSI reduced-order interconnect by non-symmetric lanczos algorithm | ||
| Chia-Chi Chu, Tao-Yuan (Taiwan); Ming-Hong Lai, Tao-Yuan (Taiwan); and Wu-Shiung Feng, Tao-Yuan (Taiwan) | ||
| Assigned to Chang Gung University, Tao-Yuan (Taiwan) | ||
| Filed on Jun. 08, 2005, as Appl. No. 11/148,086. | ||
| Prior Publication US 2006/0282799 A1, Dec. 14, 2006 | ||
| Int. Cl. G06F 17/10 (2006.01); G06F 17/50 (2006.01) | ||
| U.S. Cl. 703—2 [703/14] | 2 Claims |

| 1. A method of determining and building a high-speed VLSI reduced-order interconnect, comprising:
a) accessing an interconnect in VLSI to be analyzed and creating a mathematical model based on electrical parameters including
resistance, capacitance, inductance, coupling capacitance, and mutual inductance of the interconnect;
b) feeding an expand frequency point based on a predetermined operating frequency;
c) performing a non-symmetric Lanczos Algorithm;
d) determining an order of reduced model for model reduction based on iteration termination conditions;
e) performing a projection algorithm;
f) creating a reduced system;
g) inputting the reduced system into a signal analyzer for a high-speed and very-large IC interconnect; and
h) analyzing the reduced system and building an interconnect using the reduced system, wherein the model reduction method
has a transfer function of the perturbed system equal to the transfer function H(s) of original system, and a transfer function
HΔ(s) of modified nodal analysis expressed as follows:
![]() 1) inputting a state equation of a target system;
2) selecting an expand frequency point of a reduced system;
3) determining an order of the reduced system;
4) performing the non-symmetric Lanczos Algorithm to create a projection matrix;
5) performing a double projection on state variables by means of the projection matrix to obtain a state equation of the reduced
system; and
6) simulating by applying the state equation of the reduced system, while δq+1 and βq+1 are obtained from computational process of reduced system; and the transfer function HΔ(s) of perturbed system is equal to transfer function Ĥ(s) of reduced system.
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