Application of surrogate modeling to generate compact and PVT-sensitive IBIS models

Zhu, Ting; Franzon, Paul D.

doi:10.1109/epeps.2009.5338472

Cited by 7 publications

(10 citation statements)

References 7 publications

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“…are the static characteristics of the output port of the buffer in the fixed high and low states, respectively, andw H,L (t) are weighting functions that are computed numerically from the device responses on two resistive loads via the solution of a least-squares problem (e.g. see [5]o r [ 6] for details). This is also true for alternative approaches such as [8]or [9].…”

Section: Relation To Previous Approachesmentioning

confidence: 99%

“…In IBIS models (or models generated by similar techniques such as [7–9]) the output current of the buffer writes

i_{2} false(t false) = {\tilde{w}}_{H} false(t false) {\tilde{f}}_{H} false(v_{1}, v_{2} false) + {\tilde{w}}_{L} false(t false) {\tilde{f}}_{L} false(v_{1}, v_{2} false)

where

{\tilde{f}}_{H} false(v_{1}, v_{2} false)

and

{\tilde{f}}_{L} false(v_{1}, v_{2} false)

are the static characteristics of the output port of the buffer in the fixed high and low states, respectively, and

{\tilde{w}}_{normalH, normalL} false(t false)

are weighting functions that are computed numerically from the device responses on two resistive loads via the solution of a least‐squares problem (e.g. see [5] or [6] for details). This is also true for alternative approaches such as [8] or [9].…”

Section: Relation To Previous Approachesmentioning

confidence: 99%

“…the static characteristics of the output port of a buffer, the equivalent capacitance of the silicon die, the parameters of the equivalent circuit of the package etc.) [5,6]. Recently, other approaches that complement IBIS and provide improved accuracy for recent device technologies have been proposed [7][8][9][10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Simplified topology for integrated circuit buffer behavioural models

Diouf

Telescu

Stievano

et al. 2017

IET Circuits, Devices & Systems

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This paper addresses the behavioural modelling of digital integrated circuit buffers for performance assessment of high-speed data links. A new modelling technique, with several important advantages is described. All the requirements of black-box identification are met: the approach relies exclusively on the observation of the external port voltages and currents, thus allowing the extraction of models that mimic the operation of real devices without insight on their internal structure. Furthermore, unlike the standard algorithms currently used in EDA tools, the method described in this paper provides a straightforward solution to modelling the input-output behaviour. Good model performance in overclocking conditions is an important advantage. The paper also investigates the possibility of accounting for power-supply voltage variations and provides a simple solution.

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Section: Relation To Previous Approachesmentioning

confidence: 99%

“…In IBIS models (or models generated by similar techniques such as [7–9]) the output current of the buffer writes

i_{2} false(t false) = {\tilde{w}}_{H} false(t false) {\tilde{f}}_{H} false(v_{1}, v_{2} false) + {\tilde{w}}_{L} false(t false) {\tilde{f}}_{L} false(v_{1}, v_{2} false)

where

{\tilde{f}}_{H} false(v_{1}, v_{2} false)

and

{\tilde{f}}_{L} false(v_{1}, v_{2} false)

are the static characteristics of the output port of the buffer in the fixed high and low states, respectively, and

{\tilde{w}}_{normalH, normalL} false(t false)

Section: Relation To Previous Approachesmentioning

confidence: 99%

See 1 more Smart Citation

Simplified topology for integrated circuit buffer behavioural models

Diouf

Telescu

Stievano

et al. 2017

IET Circuits, Devices & Systems

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show abstract

“…The SUMO Toolbox has already been applied successfully to a very wide range of applications, including RF circuit block modeling [29], hydrological modeling [34], Electronic Packaging [35], aerodynamic modeling [36], and automotive data modeling [32]. Besides global modeling capabilities, the SUMO Toolbox also includes a powerful optimization framework based on the Efficient Global Optimization framework developed by Jones [37].…”

Section: Global Behavioral Modelingmentioning

confidence: 99%

A Software Framework for Automated Behavioral Modeling of Electronic Devices [Application Notes]

et al. 2012

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Abstract-As the fabrication of prototypes is very costly, system-level computer simulations have become commonplace alternatives for the design of electronic devices and systems. However, due to the computational cost of these simulations, the use of behavioral modeling techniques has become indispensable. Behavioral models can act as a surrogate for the expensive simulations, and effectively speed-up the simulations without sacrificing accuracy. Such models are compact and cheap to evaluate, and have proven very useful for tasks such as optimization, design space exploration, prototyping, and sensitivity analysis. Consequently, there is great interest in techniques that facilitate the construction of behavioral models, while minimizing the computational cost and maximizing model accuracy. This paper explores how such models can be calculated in an automated way by means of a unified software framework that integrates adaptive modeling and adaptive sampling methods. It generates global behavioral models that are accurate and valid over the design space of interest while minimizing the number of electromagnetic simulations. By placing a strong focus on adaptivity, flexibility, and self-tuning the burden on the designer is relieved and the total modeling turn-around time is reduced.

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“…The new method is applied to develop surrogatebased Input/Output (IO) buffer macromodel (Zhu and Franzon, 2009). The most popular approach to IO modelling is to use the traditional table-based inputoutput buffer information specification (IBIS) (IO Buffer Information Specification, Online).…”

Section: Proposed Macromodel Structurementioning

confidence: 99%

Application of Surrogate Modeling in Variation-Aware Macromodel and Circuit Design

Zhu¹,

Yelten²,

Steer³

et al. 2011

Proceedings of 1st International Conference on Simulation and Modeling Methodologies, Technologies and Applications

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This paper presents surrogate modeling as a solution to variation-aware macromodeling, circuit design, and device modeling. A scalable and high-fidelity IO buffer macromodel is created by integrating surrogate modeling with a physically-based model structure. Circuit performance surrogate models with design and variation parameters are efficient for design space exploration and performance yield analysis. Surrogate models of the main device characteristics are generated in order to assess the effects of variability in analog circuits. Surrogate-based optimization has great potential to speed up complex circuit design.

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Application of surrogate modeling to generate compact and PVT-sensitive IBIS models

Abstract: A new proposal of applying surrogate-modeling in Input-output Buffer Information Specification (IBIS) is presented. It saves the IBIS data storage resource, extends the model utility to various process-voltage-temperature (PVT) simulations and eliminates the data interpolation deviations.

Cited by 7 publications

References 7 publications

Simplified topology for integrated circuit buffer behavioural models

Simplified topology for integrated circuit buffer behavioural models

A Software Framework for Automated Behavioral Modeling of Electronic Devices [Application Notes]

Application of Surrogate Modeling in Variation-Aware Macromodel and Circuit Design

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