4 citations · 5 across the 8 of their papers we have counts for
3 papers · 1 filter
Learning Library Cell Representations in Vector Space
Rongjian Liang, Yi-Chen Lu, Wen-Hao Liu +1
We propose Lib2Vec, a novel self-supervised framework to efficiently learn meaningful vector representations of library cells, enabling ML models to capture essential cell semantic…
Learning to Compare Hardware Designs for High-Level Synthesis
Yunsheng Bai, Atefeh Sohrabizadeh, Zijian Ding +6
High-level synthesis (HLS) is an automated design process that transforms high-level code into hardware designs, enabling the rapid development of hardware accelerators. HLS relies…
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…