TY - GEN
T1 - FinPrin
T2 - 2013 26th International Conference on VLSI Design, VLSID 2013 and 12th International Conference on Embedded Systems, ES 2013
AU - Yang, Yang
AU - Jha, Niraj K.
PY - 2013
Y1 - 2013
N2 - Continued scaling of bulk CMOS technology is facing formidable challenges. As an alternative, FinFETs offer a promising solution for the 22nm technology node and beyond though they still suffer from process, voltage, and temperature (PVT) variations. Thus, in order to analyze the delay of FinFET logic circuits, statistical static timing analysis (SSTA) is more suitable than traditional static timing analysis (STA). In this paper, we consider voltage and temperature variations in addition to process variations. We propose a simplified FinFET timing model with an average absolute error of 3.4% and 4.4%, respectively, for gate output slope and gate delay over all logic gates and sizes, compared to accurate quasi Monte-Carlo (QMC) simulations. We extend an existing SSTA algorithm to statistical leakage and dynamic power analysis as well, and evaluate its performance relative to Monte-Carlo (MC) simulation. Finally, we show that FinFET logic circuits need to be carefully optimized with temperature taken into consideration, since the ratio between the leakage and dynamic power of a circuit can vary drastically depending on the operating temperature assumed.
AB - Continued scaling of bulk CMOS technology is facing formidable challenges. As an alternative, FinFETs offer a promising solution for the 22nm technology node and beyond though they still suffer from process, voltage, and temperature (PVT) variations. Thus, in order to analyze the delay of FinFET logic circuits, statistical static timing analysis (SSTA) is more suitable than traditional static timing analysis (STA). In this paper, we consider voltage and temperature variations in addition to process variations. We propose a simplified FinFET timing model with an average absolute error of 3.4% and 4.4%, respectively, for gate output slope and gate delay over all logic gates and sizes, compared to accurate quasi Monte-Carlo (QMC) simulations. We extend an existing SSTA algorithm to statistical leakage and dynamic power analysis as well, and evaluate its performance relative to Monte-Carlo (MC) simulation. Finally, we show that FinFET logic circuits need to be carefully optimized with temperature taken into consideration, since the ratio between the leakage and dynamic power of a circuit can vary drastically depending on the operating temperature assumed.
UR - http://www.scopus.com/inward/record.url?scp=84875606509&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84875606509&partnerID=8YFLogxK
U2 - 10.1109/VLSID.2013.213
DO - 10.1109/VLSID.2013.213
M3 - Conference contribution
AN - SCOPUS:84875606509
SN - 9780769548890
T3 - Proceedings of the IEEE International Conference on VLSI Design
SP - 350
EP - 355
BT - Proceedings - 26th International Conference on VLSI Design, VLSID 2013 - Concurrently with 12th International Conference on Embedded Systems Design, ES 2013
Y2 - 5 January 2013 through 10 January 2013
ER -