Session

DescriptionThis session presents the new EDA techniques used in analog and mixed-signal design. Graph-based sparsification is presented to speed up power grid transient simulations. Two-step reinforcement learning is introduced to accelerate DC circuit simulation. Circuit sizing is boosted by fine-tuning layout neural models. Finally, a Gaussian process classification and varying-sigma sampling approach is used for yield optimization of analog circuits.