Composing Scalable Solver for Simulation of Electronic Circuits in SPICE

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F18%3A00326431" target="_blank" >RIV/68407700:21230/18:00326431 - isvavai.cz</a>

Výsledek na webu

<a href="http://mauricon.org/wp-content/uploads/2018/12/Mauricon-2018-Conference-Proceedings-44423-041218.pdf" target="_blank" >http://mauricon.org/wp-content/uploads/2018/12/Mauricon-2018-Conference-Proceedings-44423-041218.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ICONIC.2018.8601234" target="_blank" >10.1109/ICONIC.2018.8601234</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Composing Scalable Solver for Simulation of Electronic Circuits in SPICE

Popis výsledku v původním jazyce

The most efficient solvers use composite procedures that adaptively rearrange computation algorithms to maximize simulation performance. A similar concept can be integrated into a process of electronic circuit analysis, where the combination of different algorithms allows scalability of simulation performance. In this paper, we propose a new adaptive internal solver based on Biconjugate gradient stabilized method for the iterative solution of nonsymmetric linear systems supplemented with incomplete LU factorization as an efficient replacement for the direct solver implemented in program Spice for solving large-scale circuits. We describe basic concepts of a simulation of electronic circuits with nonlinear time dependent devices and present implementation examples of the proposed methods. Optimal setting of the method and its application in program Spice is shown in comparison to other modern iterative solvers for nonsymmetric linear systems.

Název v anglickém jazyce

Composing Scalable Solver for Simulation of Electronic Circuits in SPICE

Popis výsledku anglicky

The most efficient solvers use composite procedures that adaptively rearrange computation algorithms to maximize simulation performance. A similar concept can be integrated into a process of electronic circuit analysis, where the combination of different algorithms allows scalability of simulation performance. In this paper, we propose a new adaptive internal solver based on Biconjugate gradient stabilized method for the iterative solution of nonsymmetric linear systems supplemented with incomplete LU factorization as an efficient replacement for the direct solver implemented in program Spice for solving large-scale circuits. We describe basic concepts of a simulation of electronic circuits with nonlinear time dependent devices and present implementation examples of the proposed methods. Optimal setting of the method and its application in program Spice is shown in comparison to other modern iterative solvers for nonsymmetric linear systems.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

<a href="/cs/project/TE01020186" target="_blank" >TE01020186: Centrum integrovaných družicových a pozemských navigačních technologií</a><br>

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the 2018 International Conference on Intelligent & Innovative Computing Applications (ICONIC)

ISBN

978-1-5386-6477-3

ISSN

—

e-ISSN

—

Počet stran výsledku

5

Strana od-do

420-424

Název nakladatele

IEEE

Místo vydání

New Jersey

Místo konání akce

Holiday Inn Plaine Magnien

Datum konání akce

6. 12. 2018

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000458689200049