28 citations · 28 across the 2 of their papers we have counts for
2 papers
cs.LG2024
GOALPlace: Begin with the End in Mind
Anthony Agnesina, Rongjian Liang, Geraldo Pradipta +2
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 c…
cs.CL2023★ 28 cited
ChipNeMo: Domain-Adapted LLMs for Chip Design
Mingjie Liu, Teodor-Dumitru Ene, Robert Kirby +39
ChipNeMo aims to explore the applications of large language models (LLMs) for industrial chip design. Instead of directly deploying off-the-shelf commercial or open-source LLMs, we…