SwiftCTS combines physics-informed gradient-boosted models with K-shot multiplicative calibration to enable fast, low-error prediction and Pareto optimization of clock tree metrics on unseen macro architectures without retraining.
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SwiftCTS: Fast Cross-Design Prediction and Pareto Optimization of Clock Tree Metrics via Few-Shot Calibration
SwiftCTS combines physics-informed gradient-boosted models with K-shot multiplicative calibration to enable fast, low-error prediction and Pareto optimization of clock tree metrics on unseen macro architectures without retraining.