Wirelength estimation in VLSI cell placement using machine learning techniques
In recent years, artificial intelligence (AI) plays an important role in Very Large-Scale Integration (VLSI) circuit design for wirelength prediction of cell placement. As compared to conventional wirelength estimation techniques such as Half-Perimeter Wirelength (HPWL) and Rectilinear Steiner Minim...
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| Main Author: | |
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| Format: | Thesis |
| Language: | English |
| Published: |
2022
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/99381/1/CheongZhengQuanMSKE2022.pdf http://eprints.utm.my/id/eprint/99381/ http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:149990 |
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| Institution: | Universiti Teknologi Malaysia |
| Language: | English |