Name
Title | ||
|---|---|---|
An ultra-compact virtual source FET model for deeply-scaled devices: Parameter extraction and validation for standard cell libraries and digital circuits |
Abstract | ||
|---|---|---|
In this paper, we present the first validation of the virtual source (VS) charge-based compact model for standard cell libraries and large-scale digital circuits. With only a modest number of physically meaningful parameters, the VS model accounts for the main short-channel effects in nanometer technologies. Using a novel DC and transient parameter extraction methodology, the model is verified with simulated data from a well-characterized, industrial 40-nm bulk silicon model. The VS model is used to fully characterize a standard cell library with timing comparisons showing less than 2.7% error with respect to the industrial design kit. Furthermore, a 1001-stage inverter chain and a 32-bit ripple-carry adder are employed as test cases in a vendor CAD environment to validate the use of the VS model for large-scale digital circuit applications. Parametric Vdd sweeps show that the VS model is also ready for usage in low-power design methodologies. Finally, runtime comparisons have shown that the use of the VS model results in a speedup of about 7.6×. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/ASPDAC.2013.6509649 | ASP-DAC |
Keywords | Field | DocType |
virtual source charge-based compact model,standard cell libraries,parameter extraction,stage inverter chain,field effect transistor circuits,industrial design kit,hardware description languages,large-scale digital circuits,deeply-scaled devices,physically meaningful parameters,ultracompact virtual source fet model,validation | Inverter,Digital electronics,Adder,Computer science,Electronic engineering,Parametric statistics,Standard cell,Test case,Speedup,Hardware description language | Conference |
ISSN | ISBN | Citations |
2153-6961 | 978-1-4673-3029-9 | 5 |
PageRank | References | Authors |
0.54 | 2 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| omar mysore | 1 | 5 | 0.54 |
| Omar Mysore | 2 | 5 | 0.54 |
| Lan Wei | 3 | 46 | 7.70 |
| Luca Daniel | 4 | 497 | 50.96 |
| Dimitri A. Antoniadis | 5 | 217 | 39.43 |
| Ibrahim M. Elfadel | 6 | 242 | 44.16 |
| Duane Boning | 7 | 201 | 49.37 |