"How Deep Learning Can Drive Physical Synthesis Towards More Predictable ..."

Renan Netto et al. (2019)

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DOI: 10.1145/3299902.3309754

access: closed

type: Conference or Workshop Paper

metadata version: 2019-09-25

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  dblp key:
  - conf/ispd/NettoFFLPG19
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  - https://dblp.org/rec/conf/ispd/NettoFFLPG19
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. ISPD 2019: 3-10

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