DocumentCode :
983014
Title :
Information flow in digital metal-oxide semiconductor circuits
Author :
Ingenbleek, Bernd ; Woelcken, Klaus ; Matthaus, Claudia
Author_Institution :
German Res. Center for Comput. Sci., St. Augustin, West Germany
Volume :
9
Issue :
2
fYear :
1989
fDate :
4/1/1989 12:00:00 AM
Firstpage :
69
Lastpage :
79
Abstract :
Static algorithms designed to symbolically describe an electrical network and derive subnetworks of a given maximal size are presented. These algorithms further provide the solution order of the subnetworks. This network splitting allows for strong local feedback that would otherwise cause convergence speed problems. Signal-flow graphs that describe the influence of each element in the circuit on its neighbors serve as the basis for these algorithms. Cycles in the signal-flow graph represent feedback in an electrical network. By removing the cycles, one can naturally determine (by leveling) a favorable solution order for the differential equations and small-equation systems. The work presented here also provides the basis for designing the parallelization of a differential equation solver.<>
Keywords :
circuit analysis computing; digital integrated circuits; metal-insulator-semiconductor devices; differential equations; digital metal-oxide semiconductor circuits; electrical network; signal flow graphs; static algorithms; strong local feedback; Algorithm design and analysis; Circuit simulation; Computational modeling; Convergence; Coupling circuits; Differential equations; Force feedback; Intelligent networks; MOS devices; SPICE;
fLanguage :
English
Journal_Title :
Micro, IEEE
Publisher :
ieee
ISSN :
0272-1732
Type :
jour
DOI :
10.1109/40.24851
Filename :
24851
Link To Document :
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