3D-IC: Operator Learning Framework For Ultra-Fast 3D Chip Thermal Prediction Under Multiple Chip Design Configurations

A new technical paper titled "DeepOHeat: Operator Learning-based Ultra-fast Thermal Simulation in 3D-IC Design" was published (preprint) by researchers at UCSB and Cadence. Abstract "Thermal issue is a major concern in 3D integrated circuit (IC) design. Thermal optimization of 3D IC often requires massive expensive PDE simulations. Neural network-based thermal prediction models can perform ... » read more