Problem
Timing optimization mixes sizing and buffering decisions. AiTO studies learned policies on open states, connecting to iTO.
AIEDA · DOC
AiTO
Learning framework for timing optimization—strategized gate sizing, buffer insertion, and related actions.
# open iEDA stack $ ieda open aito [nav ] module linked ok [docs] pages indexed ok [ai ] state exportable ok → continue exploring
iMapsynthesisiFPfloorplaniPDNpoweriPLplacementiCTSclockiTOoptimizationiRTroutingiSTAtimingAiEDAdesign dataiPCLlayout modeliMapsynthesisiFPfloorplaniPDNpoweriPLplacementiCTSclockiTOoptimizationiRTroutingiSTAtimingAiEDAdesign dataiPCLlayout model
5Pages here
RTL→GDSOpen flow
AIExportable state
GPL-3.0License