1994
DOI: 10.1109/66.311334
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Relating statistical MOSFET model parameter variabilities to IC manufacturing process fluctuations enabling realistic worst case design

Abstract: Abstruct-The implementation of a viable statistical circuit design methodology requiring detailed knowledge of the variabilities of, and correlations among, the circuit simulator model parameters utilized by designers, and the determination of the important relationships between these CAD model parameter variabilities and the process variabilities causing them is presented. This work addresses the above requirements by detailing a new framework which was adopted for a 2-pm CMOS technology to enable realistic s… Show more

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Cited by 73 publications
(22 citation statements)
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“…For example, the BSIM3 model for CMOS devices [LJX + ] has 16 important process parameters [PDML94,MI92]. It is worth noting that the effect of the fabrication process on geometric properties, such as the effective channel width and length of CMOS devices, is normally considered in the electrical models with suitable relations and process parameters.…”
Section: Process Parametersmentioning
confidence: 99%
“…For example, the BSIM3 model for CMOS devices [LJX + ] has 16 important process parameters [PDML94,MI92]. It is worth noting that the effect of the fabrication process on geometric properties, such as the effective channel width and length of CMOS devices, is normally considered in the electrical models with suitable relations and process parameters.…”
Section: Process Parametersmentioning
confidence: 99%
“…Turning from the single device to the circuit, hot topics are • circuit reliability [14] • parasitics extraction for large circuits with realistic non-rectangular interconnect geometry [15] • worst case / circuit yield simulation [16]. For the single devices we mentioned modeling problems where we expect solutions from academia.…”
Section: 1 Device Simulation Problemsmentioning
confidence: 99%
“…(2) Which aspects of performance are most likely to fail to meet their specification? (3) Which are the key components in determining whether the design is capable? (4) How should the component values and tolerances be adjusted to reach the desired level of capability?…”
Section: Introductionmentioning
confidence: 99%