TY - GEN
T1 - Timing analysis with nonseparable statistical and deterministic variations
AU - Zolotov, Vladimir
AU - Sinha, Debjit
AU - Hemmett, Jeffrey
AU - Foreman, Eric
AU - Visweswariah, Chandu
AU - Xiong, Jinjun
AU - Leitzen, Jeremy
AU - Venkateswaran, Natesan
PY - 2012
Y1 - 2012
N2 - Statistical static timing analysis (SSTA) is ideal for random variations but is not suitable for environmental variations like Vdd and temperature. SSTA uses statistical approximation, according to which circuit timing is predicted accurately only for highly probable combinations of variational parameters. SSTA is not able to handle accurately deterministic sources of variation like supply voltage. This paper presents a novel technique for modeling nonseparable deterministic and statistical variations in single timing run.
AB - Statistical static timing analysis (SSTA) is ideal for random variations but is not suitable for environmental variations like Vdd and temperature. SSTA uses statistical approximation, according to which circuit timing is predicted accurately only for highly probable combinations of variational parameters. SSTA is not able to handle accurately deterministic sources of variation like supply voltage. This paper presents a novel technique for modeling nonseparable deterministic and statistical variations in single timing run.
KW - static timing
KW - statistical timing
KW - variability
UR - https://www.scopus.com/pages/publications/84863543752
U2 - 10.1145/2228360.2228553
DO - 10.1145/2228360.2228553
M3 - Conference contribution
AN - SCOPUS:84863543752
SN - 9781450311991
T3 - Proceedings - Design Automation Conference
SP - 1061
EP - 1066
BT - Proceedings of the 49th Annual Design Automation Conference, DAC '12
T2 - 49th Annual Design Automation Conference, DAC '12
Y2 - 3 June 2012 through 7 June 2012
ER -