Welcome to μComputing Lab at KAIST!
Our research focus is in EDA (electronic design automation) and DT (design technology), trying to revolutionize the way integrated circuits and systems are designed and manufactured. Some of our recent topics are
Machine learning in EDA: clock tree estimation, ECO (engineering change order) power optimization, wirelength prediction, IR drop analysis
Lithography optimizations: OPC (optical proximity correction), EPC (etch proximity correction), litho modeling, SRAFs (sub-resolution assist features) prediction, layout pattern synthesis
Low power: Clock gating synthesis, NTV (near-threshold voltage) design
Exploratory devices and circuits: TFET (tunneling FET), airgap, SADP (self-aligned double patterning), DSA (directed self-assembly), crosslink, PCM (phase-change memory)
