OPERA: OPtimizationwithElipsoidaluncertaintyfor RobustAnalogICdesign∗
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چکیده
As the d esig n-m anu factu ring interface becom es increasing ly com plicated with IC technolog y scaling , the correspond ing process variability poses g reat challeng es for nanoscale analog / R F d esig n. D esig n optim ization based on the enu m eration of process corners has been wid ely u sed , bu t can su ff er from ineffi ciency and overd esig n. In this paper we propose to form u late the analog and R F d esig n with variability problem as a special type of robu st optim ization problem , nam ely robu st g eom etric prog ram m ing . T he statistical variations in both the process param eters and d esig n variables are captu red by a pre-specifi ed confi d ence ellipsoid . U sing su ch optim iza tion w ith ellipsoid a l u n certa in ty approach, robu st d esig n can be obtained with g u aranteed yield bou nd and lower d esig n cost, and m ost im portantly, the problem size g rows lin ea rly with nu m ber of u ncertain param eters. N u m erical ex am ples d em onstrate the effi ciency and reveal the trad e-off between the d esig n cost versu s the yield req u irem ent. We will also d em onstrate sig nifi cant im provem ent in the d esig n cost u sing this approach com pared with corner-enu m eration optim ization. CategoriesandSubjectDescriptors B .7 .2 [Inte g ra te d C irc u its]: D esig n Aid s
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