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2025 - MLCAD - Machine Learning Driven Early Clustering For Multi-Bit Flip-Flop Allocation by jane030820 is a document available to read on EtoBox.

This paper introduces a machine learning-based method for early clustering of multi-bit flip-flops (MBFFs) to minimize power consumption in chip design. The proposed approach utilizes a graph neural network (GNN) to predict optimal clustering without relying on physical placement data, significantly reducing power consumption by approximately 21% while meeting timing constraints. This study marks the first application of ML for MBFF clustering using netlist information only, addressing limitations of tradit

Author

jane030820

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EN