Integrated circuit simulation data correlation modeling method and apparatus

A technology for simulating data and integrated circuits, applied in electrical digital data processing, special data processing applications, instruments, etc., can solve problems such as few samples, large errors, unstable covariance matrix estimates, etc., to achieve accuracy and efficiency guarantees , the effect of improving efficiency, reliability and accuracy

Active Publication Date: 2018-10-02
FUDAN UNIV
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  • Application Information

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Problems solved by technology

For a given set of multivariate data, the correlation of any two dimensions can be determined simply by unbiased estimation or maximum likelihood estimation of the covariance matrix of the multivariate data; however, due to the limitation of simulation cost, the sim

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  • Integrated circuit simulation data correlation modeling method and apparatus
  • Integrated circuit simulation data correlation modeling method and apparatus
  • Integrated circuit simulation data correlation modeling method and apparatus

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Embodiment 1

[0034] The basic principle of the rapid analysis of parameter yield is based on Monte Carlo simulation, using the correlation of simulation data to predict the statistical distribution of the rest of the simulation data through part of the known simulation data, and thus identify and reduce unnecessary Circuit simulation, so as to achieve the purpose of improving the analysis efficiency, the present invention is based on 1000 operational amplifier circuit samples for rapid analysis of the parameter yield, wherein the former n circuit samples are used for correlation modeling, the dimension of simulation data is 432, the optimal parameter combination of correlation modeling algorithm ( n , maxSize 0 ) is generated by cross-validation, except for the correlation modeling method in the parameter yield analysis algorithm, the other steps and methods are consistent:

[0035] In this embodiment, the correlation modeling of integrated circuit simulation data is carried out accordi...

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Abstract

The present invention belongs to the field of integrated circuit design automation, and particularly relates to an integrated circuit simulation data correlation modeling method and apparatus based onthe correlation clustering and covariance contraction technology. The method comprises: obtaining circuit simulation data required for modeling; constructing a primitive multivariate normal distribution according to the data; and modifying the distribution through the correlation clustering and covariance contraction technology to obtain a correlation model expressed by the modified multivariatenormal distribution. According to the technical scheme of the present invention, the reliability and accuracy of the correlation model are improved, so that the correlation model of the circuit simulation data can be applied to circuits of any scale, and accuracy and efficiency the algorithm developed by the model can be ensured.

Description

technical field [0001] The invention belongs to the field of integrated circuit design automation, and in particular relates to modeling of correlation of integrated circuit simulation data. Specifically, it relates to a correlation modeling method and device for integrated circuit simulation data based on correlation clustering and covariance shrinkage techniques. Background technique [0002] The prior art discloses that since integrated circuits are inevitably affected by process conditions during the manufacturing process, the physical parameters of each transistor, such as doping concentration, gate oxide layer thickness, surface charge, etc., will fluctuate randomly. Therefore, the electrical properties of the transistor Characteristics such as threshold voltage, leakage current, etc. and circuits composed of these transistors also have a certain degree of randomness in performance (such as delay, gain, etc.). With the development of integrated circuit process technol...

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Application Information

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IPC IPC(8): G06F17/50
CPCG06F30/398
Inventor 曾璇朱恒亮李昕曾溦
Owner FUDAN UNIV
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