1 citations · 1 across the 3 of their papers we have counts for
3 papers
GOALPlace: Begin with the End in Mind
Anthony Agnesina, Rongjian Liang, Geraldo Pradipta +2
Co-optimizing placement with congestion is integral to achieving high-quality designs. This paper presents GOALPlace, a new learning-based general approach to improving placement c…
Optimizing Predictive AI in Physical Design Flows with Mini Pixel Batch Gradient Descent
Haoyu Yang, Anthony Agnesina, Haoxing Ren
Exploding predictive AI has enabled fast yet effective evaluation and decision-making in modern chip physical design flows. State-of-the-art frameworks typically include the object…
BoolGebra: Attributed Graph-learning for Boolean Algebraic Manipulation
Yingjie Li, Anthony Agnesina, Yanqing Zhang +2
Boolean algebraic manipulation is at the core of logic synthesis in Electronic Design Automation (EDA) design flow. Existing methods struggle to fully exploit optimization opportun…