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pro vyhledávání: '"Pradipta, Geraldo"'
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 congestion by controlling cell density. Our method efficiently learns f
Externí odkaz:
http://arxiv.org/abs/2407.04579
Autor:
Ajayi, Tutu, Chhabria, Vidya A., Fogaça, Mateus, Hashemi, Soheil, Hosny, Abdelrahman, Kahng, Andrew B., Minsoo Kim, Jeongsup Lee, Mallappa, Uday, Neseem, Marina, Pradipta, Geraldo, Reda, Sherief, Saligane, Mehdi, Sapatnekar, Sachin S., Sechen, Carl, Shalan, Mohamed, Swartz, William, Lutong Wang, Zhehong Wang, Mingyu Woo
Publikováno v:
DAC: Annual ACM/IEEE Design Automation Conference; 2019, Issue 56, p1315-1318, 4p