IWSM. 1998 3rd International Workshop on Statistical Metrology (Cat. No.98EX113)
DOI: 10.1109/iwstm.1998.729756
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Methodology of MOSFET characteristics fluctuation description using BSIM3v3 SPICE model for statistical circuit simulations

Abstract: A methodology of including MOSFET characteristics fluctuation into BSIM3v3 SPICE model is proposed. Fundamentally physical parameters such as gate oxide thickness fl0Q channel concentration (NCH), gate length (L), parasitic resistance (RDSW)are chosen as an independent parameter set. Parameters which should be expressed by the above set are described in simple physical equations. This method allows not only statistical simulation based on electric test data that can be easily measured nlth full-auto tester sys… Show more

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Cited by 10 publications
(5 citation statements)
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“…The variation of buffer delay originates from the device parameters deviating from their nominal values, as statistically modeled in Zarkesh-Ha et al [1999] and Azuma et al [1998]. The fluctuation of the buffer delay is typically approximated as being linear in the device parameter variations [Sundareswaran et al 2008;Devgan and Kashyap 2003].…”
Section: Buffer Delay Distributionmentioning
confidence: 99%
“…The variation of buffer delay originates from the device parameters deviating from their nominal values, as statistically modeled in Zarkesh-Ha et al [1999] and Azuma et al [1998]. The fluctuation of the buffer delay is typically approximated as being linear in the device parameter variations [Sundareswaran et al 2008;Devgan and Kashyap 2003].…”
Section: Buffer Delay Distributionmentioning
confidence: 99%
“…Corner analysis is useful for estimating inter-die process variations for 2-D ICs but this method often introduces pessimism in the timing of a circuit. Another method for statistical clock skew analysis based on Monte Carlo simulation is introduced in [14]; the computational time of this method is, however, prohibitively high for large scale ICs. Several statistical skew modeling and timing analysis methods considering intra-die variations are presented in [13,15,16] to efficiently analyze skew variations.…”
Section: Related Workmentioning
confidence: 99%
“…The variation of the buffer delay originates from the device parameters deviating from their nominal values, as statistically modeled in [8,14]. The fluctuation of the buffer delay is typically approximated as being linear to the device parameter variations [16,19].…”
Section: Buffer Delay Distributionmentioning
confidence: 99%
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“…Environmental factors that occur during chip operation include power supply variations and temperature changes across the chip. Physical factors affected during fabrication include various parameters but they are not limited to interconnect line-width [5][6][7], metallic grain size [8][9][10] and transistor channel length [11][12][13][14][15][16].…”
Section: Introductionmentioning
confidence: 99%