New Framework for Passive Macromodeling of High-Speed Distributed Transmission Line Subnetworks
Notice bibliographique
Résumé
A new framework for passive macromodeling of multiport distributed interconnects is presented in this paper. The proposed framework provides for efficient treatment of various categories of distributed interconnects, such as lossless transmission lines, on-chip RC distributed transmission lines, transmission lines with constant RLCG parameters, transmission lines (TLs) with frequency-dependent RLCG parameters etc. The proposed methodology is based on closed-form matrix-rational approximation of exponential functions describing Telegrapher’s equations and enables the development of the transmission line macromodel to be formulated analytically in terms of known (stored) constants and given perunit-length parameters. The proposed framework can be easily incorporated with conventional circuit simulators such as SPICE and also with the recently developed passive modelreduction techniques. I. INTRODUCTION The rapid increase in operating speeds, density and complexity of modern integrated circuits has made interconnect analysis a requirement for all state-of-the-art circuit simulators. Interconnect effects such as ringing, signal delay, distortion, attenuation and crosstalk can severely degrade signal integrity. Interconnections can be from various levels of design hierarchy, such as on-chip, packaging structures, MCMs, PCBs and backplanes. As the frequency of operation increases, the interconnect lengths become a significant fraction of the operating wavelength, and conventional lumped models become inadequate in describing the interconnect performance and transmission line models become necessary. Skin and proximity effects also become prominent at high frequencies and distributed models with frequency-dependent parameters may be needed. The major difficulty usually encountered while linking the distributed transmission line models and nonlinear simulators is the problem of mixed frequency/time [1], [2]. This is because distributed elements are usually characterized in the frequency-domain whereas nonlinear components such as drivers and receivers are represented only in time-domain. Several publications can be found in the literature, which address this issue. Approaches based on conventional lumped segmentation of transmission lines provide a brute force solution to the problem of mixed frequency/time simulation. However, these methods lead to large circuit matrices, rendering the simulation inefficient. In this paper, a new framework for passive macromodeling of multiport distributed interconnects is presented. The proposed framework provides for efficient treatment of various categories of distributed interconnects, such as lossless transmission lines, on-chip RC distributed transmission lines, transmission lines with constant RLCG parameters, transmission lines with frequency-dependent RLCG parameters etc. The proposed methodology is based on closed-form matrixrational approximation of exponential functions describing Telegrapher’s equations [4]. The method uses pre-determined (stored) coefficients given by the closed-form matrix-rational approximation and the per-unit-length parameters to obtain analytically a macromodel in the form of ordinary differential equations. The proposed model can be easily incorporated with conventional circuit simulators such as SPICE and also with the recent passive model-reduction techniques. II. REVIEW OF DISTRIBUTED TRANSMISSION LINE EQUATIONS Distributed interconnects are described by a set of partial differential equations known as Telegrapher’s equations:
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Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,001 | 0,002 |
| Science ouverte | 0,002 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».