How Deep Learning Can Drive Physical Synthesis Towards More Predictable Legalization

Renan Netto, Sheiny Fabre, Tiago Augusto Fontana, Vinicius S. Livramento, Laércio Lima Pilla, José Luís Güntzel. How Deep Learning Can Drive Physical Synthesis Towards More Predictable Legalization. In Ismail Bustany, William Swartz, editors, Proceedings of the 2019 International Symposium on Physical Design, ISPD 2019, San Francisco, CA, USA, April 14-17, 2019. pages 3-10, ACM, 2019. [doi]

Authors

Renan Netto

This author has not been identified. Look up 'Renan Netto' in Google

Sheiny Fabre

This author has not been identified. Look up 'Sheiny Fabre' in Google

Tiago Augusto Fontana

This author has not been identified. Look up 'Tiago Augusto Fontana' in Google

Vinicius S. Livramento

This author has not been identified. Look up 'Vinicius S. Livramento' in Google

Laércio Lima Pilla

This author has not been identified. Look up 'Laércio Lima Pilla' in Google

José Luís Güntzel

This author has not been identified. Look up 'José Luís Güntzel' in Google