The work titled “How Deep Learning Can Drive Physical Synthesis Towards More Predictable Legalization,” developed by Renan Netto, Sheiny Fabre, Tiago Augusto Fontana, Vinicius Livramento, Laércio Pilla, and José Luís Güntzel, was accepted for publication at the International Symposium on Physical Design event in 2019, being one of the candidates for the best paper award at the same event.
This work deals with the use of neural networks to identify regions with high cell movement during the legalization of integrated circuits.
The International Symposium on Physical Design is one of the main conferences in the field of Electronic Design Automation (EDA) and physical design.
