E-Book, Englisch, 88 Seiten
Gusmão / Horta / Lourenço Analog IC Placement Generation via Neural Networks from Unlabeled Data
1. Auflage 2020
ISBN: 978-3-030-50061-0
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
E-Book, Englisch, 88 Seiten
Reihe: SpringerBriefs in Applied Sciences and Technology
ISBN: 978-3-030-50061-0
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
In the experimental results chapter, the trained ANNs are used to produce a variety of valid placement solutions even beyond the scope of the training/validation sets, demonstrating the model’s effectiveness in terms of identifying common components between newer topologies and reutilizing the acquired knowledge. Lastly, the methodology used can readily adapt to the given problem’s context (high label production cost), resulting in an efficient, inexpensive and fast model.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
Introduction.- Related Work: Machine Learning and Electronic Design Automation.- Unlabeled Data and Artificial Neural Networks.- Placement Loss: Placement Constraints Description and Satisfiability Evaluation.- Experimental Results in Industrial Case Studies.- Conclusions.