Search Results for author:
Found 3 papers, 0 papers with code
Fast System Technology Co-Optimization Framework for Emerging Technology Based on Graph Neural Networks
This paper proposes a fast system technology co-optimization (STCO) framework that optimizes power, performance, and area (PPA) for next-generation IC design, addressing the challenges and opportunities presented by novel materials and device architectures.
Fast Cell Library Characterization for Design Technology Co-Optimization Based on Graph Neural Networks
Our model achieves precise predictions, with absolute error $\le$3. 0 ps for WNS, percentage errors $\le$0. 60% for leakage power, and $\le$0. 99% for dynamic power, when compared to golden reference.
Revolutionizing TCAD Simulations with Universal Device Encoding and Graph Attention Networks
An innovative methodology that leverages artificial intelligence (AI) and graph representation for semiconductor device encoding in TCAD device simulation is proposed.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
