Passive interconnect reduction algorithm for distributed/measured networks

Achar, R.; Gunupudi, P.; Nakhla, M.; Chiprout, Eli

doi:10.1109/82.839664

Cited by 89 publications

(41 citation statements)

References 22 publications

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“…Hence, the second approach can become inefficient in the presence of a large number of ports. Both these difficulties can be addressed using the Block CFH technique [76], which provides schemes to minimize the number of poles, as well as to improve the accuracy of residues.…”

Section: E Reduced-order Models Of Multiport Linear Networkmentioning

confidence: 99%

“…For the purpose of simplicity, consider the case of a single transmission line system, represented by (9) and (10). The variations in space for voltages and currents of a transmission line system can be expressed as (76) where and are the degrees of freedom of approximation, while and are the known expansion functions. Assume that the line is divided into equal segments of length .…”

Section: Compact Finite-differences-based Approximationmentioning

confidence: 99%

“…Generally in a system with a large number of dominant poles , pole-sets belonging to different driving point admittances ( ) obtained using CFH contain mostly identical poles and with only a very small number of poles differing among these sets. Residue Computation Algorithm: Residue computation algorithm [76], which combines the merits of two different approaches of CFH, namely, transfer-function-based approach and pole-matching-based approach. The transfer-function-based approach collects a set of transfer functions that accurately matches the frequency response up to the highest frequency of interest.…”

Section: E Reduced-order Models Of Multiport Linear Networkmentioning

confidence: 99%

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Simulation of high-speed interconnects

2001

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With the rapid developments in very large-scale integration (VLSI) technology, design and computer-aided design (CAD) techniques, at both the chip and package level, the operating frequencies are fast reaching the vicinity of gigahertz and switching times are getting to the subnanosecond levels. The ever increasing quest for high-speed applications is placing higher demands on interconnect performance and highlighted the previously negligible effects of interconnects, such as ringing, signal delay, distortion, reflections, and crosstalk. In this review paper, various high-speed interconnect effects are briefly discussed. In addition, recent advances in transmission line macromodeling techniques are presented. Also, simulation of high-speed interconnects using model-reduction-based algorithms is discussed in detail.

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Section: E Reduced-order Models Of Multiport Linear Networkmentioning

confidence: 99%

Section: Compact Finite-differences-based Approximationmentioning

confidence: 99%

Section: E Reduced-order Models Of Multiport Linear Networkmentioning

confidence: 99%

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Simulation of high-speed interconnects

2001

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“…It improves the relative accuracy where the elements to fit are small in their dynamic range [42] and is chosen equal to the inverse of the element magnitude (18) for . The rms-error is chosen to characterize the model accuracy.…”

Section: Additional Weighting Functionmentioning

confidence: 99%

Parametric Macromodeling of Lossy and Dispersive Multiconductor Transmission Lines

Ferranti

Antonini

Dhaene

et al. 2010

IEEE Trans. Adv. Packag.

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Abstract-We propose an innovative parametric macromodeling technique for lossy and dispersive multiconductor transmission lines (MTLs) that can be used for interconnect modeling. It is based on a recently developed method for the analysis of lossy and dispersive MTLs extended by using the multivariate orthonormal vector fitting (MOVF) technique to build parametric macromodels in a rational form. They take into account design parameters, such as geometrical layout or substrate features, in addition to frequency. The presented technique is suited to generate state-space models and synthesize equivalent circuits, which can be easily embedded into conventional SPICE-like solvers. Parametric macromodels allow to perform design space exploration, design optimization, and sensitivity analysis efficiently. Numerical examples validate the proposed approach in both frequency and time domain.

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“…We notice that passivity enforcement was done by the compensation-based approach proposed in [1]. But this method does not ensure the accurate matching because the compensated part may have significant impacts on the frequency range that we are interested.…”

Section: B Passivity Enforcement Optimizationmentioning

confidence: 99%

Passive Hierarchical Model Order Reduction and Realization of RLCM Circuits

Liu

Tan

Sixth International Symposium on Quality of Electronic Design (ISQED'05)

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This paper presents a novel compact passive modeling technique for high-performance RF passives and interconnects modeled as high-order RLCM circuits. The new method is based on a recently proposed general s-domain hierarchical modeling and analysis method. In this work, we first apply state-space based optimization technique to enforce passivity on the hierarchical model order reduced admittance matrix. To realize the passivity-enforced admittance, we propose a general multi-port network realization method based on relaxed one-port network synthesis technique based on Foster's canonical form. The resulting modeling algorithm leads to general SPICE-in and SPICE-out multi-port passive realization of any linear passive networks with easily controlled model accuracy and complexity. The experimental results on a number of PEEC modeled bus lines circuits demonstrate the effectiveness of the proposed algorithm.

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Passive interconnect reduction algorithm for distributed/measured networks

Cited by 89 publications

References 22 publications

Simulation of high-speed interconnects

Simulation of high-speed interconnects

Parametric Macromodeling of Lossy and Dispersive Multiconductor Transmission Lines

Passive Hierarchical Model Order Reduction and Realization of RLCM Circuits

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