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A Machine Learning Approach Towards SKILL Code Autocompletion
Feb. 27, 2024, 5:51 a.m. | Enrique Dehaerne, Bappaditya Dey, Wannes Meert
cs.CL updates on arXiv.org arxiv.org
Abstract: As Moore's Law continues to increase the complexity of electronic systems, Electronic Design Automation (EDA) must advance to meet global demand. An important example of an EDA technology is SKILL, a scripting language used to customize and extend EDA software. Recently, code generation models using the transformer architecture have achieved impressive results in academic settings and have even been used in commercial developer tools to improve developer productivity. To the best of our knowledge, this …
abstract advance arxiv autocompletion automation code code generation complexity cs.cl cs.pl cs.se demand design eda electronic electronic design automation example global language law machine machine learning scripting software systems technology transformer type
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