The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Nous avons développé un outil d'optimisation des paramètres, le simulateur Monte Carlo Josephson (MJSIM), pour les circuits numériques rapides à flux unique (RSFQ), basé sur une analyse de rendement de Monte Carlo. MJSIM peut générer un certain nombre de listes nettes pour le JSIM, dans lesquelles toutes les valeurs des paramètres varient de manière aléatoire en fonction de la fonction de distribution gaussienne, et calculer automatiquement les rendements du circuit. MJSIM peut également produire un ensemble de paramètres amélioré en utilisant l'algorithme de la méthode du centre de gravité. Dans cet algorithme, un vecteur de paramètres amélioré est dérivé en calculant la moyenne des vecteurs de paramètres à l'intérieur et à l'extérieur de la région de fonctionnement. À titre d'étude de cas, nous avons optimisé les paramètres de circuit d'une bascule RS et étudié la validité et l'efficacité de cette méthode d'optimisation en considérant la convergence et la dépendance aux conditions initiales des résultats finaux. Nous avons également proposé une méthode pour accélérer la vitesse d'optimisation en augmentant les écarts de 3σ de la distribution des paramètres pendant l'optimisation.
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Nobuyuki YOSHIKAWA, Kaoru YONEYAMA, "Parameter Optimization of Single Flux Quantum Digital Circuits Based on Monte Carlo Yield Analysis" in IEICE TRANSACTIONS on Electronics,
vol. E83-C, no. 1, pp. 75-80, January 2000, doi: .
Abstract: We have developed a parameter optimization tool, Monte Carlo Josephson simulator (MJSIM), for rapid single flux quantum (RSFQ) digital circuits based on a Monte Carlo yield analysis. MJSIM can generate a number of net lists for the JSIM, where all parameter values are varied randomly according to the Gaussian distribution function, and calculate the circuit yields automatically. MJSIM can also produce an improved parameter set using the algorithm of the center-of-gravity method. In this algorithm, an improved parameter vector is derived by calculating the average of parameter vectors inside and outside the operating region. As a case study, we have optimized the circuit parameters of an RS flip-flop, and investigated the validity and efficiency of this optimization method by considering the convergency and initial condition dependence of the final results. We also proposed a method for accelerating the optimization speed by increasing 3σ spreads of the parameter distribution during the optimization.
URL: https://global.ieice.org/en_transactions/electronics/10.1587/e83-c_1_75/_p
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@ARTICLE{e83-c_1_75,
author={Nobuyuki YOSHIKAWA, Kaoru YONEYAMA, },
journal={IEICE TRANSACTIONS on Electronics},
title={Parameter Optimization of Single Flux Quantum Digital Circuits Based on Monte Carlo Yield Analysis},
year={2000},
volume={E83-C},
number={1},
pages={75-80},
abstract={We have developed a parameter optimization tool, Monte Carlo Josephson simulator (MJSIM), for rapid single flux quantum (RSFQ) digital circuits based on a Monte Carlo yield analysis. MJSIM can generate a number of net lists for the JSIM, where all parameter values are varied randomly according to the Gaussian distribution function, and calculate the circuit yields automatically. MJSIM can also produce an improved parameter set using the algorithm of the center-of-gravity method. In this algorithm, an improved parameter vector is derived by calculating the average of parameter vectors inside and outside the operating region. As a case study, we have optimized the circuit parameters of an RS flip-flop, and investigated the validity and efficiency of this optimization method by considering the convergency and initial condition dependence of the final results. We also proposed a method for accelerating the optimization speed by increasing 3σ spreads of the parameter distribution during the optimization.},
keywords={},
doi={},
ISSN={},
month={January},}
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TY - JOUR
TI - Parameter Optimization of Single Flux Quantum Digital Circuits Based on Monte Carlo Yield Analysis
T2 - IEICE TRANSACTIONS on Electronics
SP - 75
EP - 80
AU - Nobuyuki YOSHIKAWA
AU - Kaoru YONEYAMA
PY - 2000
DO -
JO - IEICE TRANSACTIONS on Electronics
SN -
VL - E83-C
IS - 1
JA - IEICE TRANSACTIONS on Electronics
Y1 - January 2000
AB - We have developed a parameter optimization tool, Monte Carlo Josephson simulator (MJSIM), for rapid single flux quantum (RSFQ) digital circuits based on a Monte Carlo yield analysis. MJSIM can generate a number of net lists for the JSIM, where all parameter values are varied randomly according to the Gaussian distribution function, and calculate the circuit yields automatically. MJSIM can also produce an improved parameter set using the algorithm of the center-of-gravity method. In this algorithm, an improved parameter vector is derived by calculating the average of parameter vectors inside and outside the operating region. As a case study, we have optimized the circuit parameters of an RS flip-flop, and investigated the validity and efficiency of this optimization method by considering the convergency and initial condition dependence of the final results. We also proposed a method for accelerating the optimization speed by increasing 3σ spreads of the parameter distribution during the optimization.
ER -