Patent US 7,805,686

Patent №

US 7,805,686

Granted

Owner

Lab

AI components

2

ml · hardware

Assignment

None on record

Dataset

AIPD

2023_r1 edition

Application

11500613

There is provided a set of methods for generating state space models of general VLSI interconnect and transmission lines, trees and nets by closed forms with exact accuracy and low computation complexity. The state space model is built by three types of models: the branch model, the connection model and the non-connection model, that are block matrices in closed forms, arranged with topology. The main features are the topology structure, simplicity and accuracy of the closed forms of the state space models {A,B,C,D} or {A,B,C}, computation complexity of O(N) in sense of scalar multiplication times, where N is the total system order, practice of the modeling, ELO model simplification, and their optimization. For evenly distributed interconnect and transmission lines, trees and nets, the closed forms of state space model have the computation complexity of O(1), i.e., only a fixed constant of scalar multiplication times.

Machine learningAI hardwareG06F 30/18G06F 30/30G06F 30/3312G06F 30/396G06F 2119/06G06F 2119/12

AI classification

AI hardware1.00
Machine learning1.00
Vision0.11
Evolutionary computation0.03
Natural language0.00
Planning0.00
Speech0.00
Knowledge representation0.00
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