Layout Driven Binding In High Level Synthesis Using Reinforcement Learning

The increase in density that the advent of Very Large Scale Integration (VLSI) has made the move to higher levels of design abstraction imperative. High Level Synthesis (HLS) emerged as a viable approach that has been gaining strides in the EDA industry. This work exploits the tight relation that ex...

وصف كامل

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Melhem, Marie-Claire (author)
التنسيق:	masterThesis
منشور في:	2021
الموضوعات:	Reinforcement learning Machine learning Integrated circuits > Very large scale integration Lebanese American University > Dissertations Dissertations, Academic
الوصول للمادة أونلاين:	http://hdl.handle.net/10725/13679 https://doi.org/10.26756/th.2022.233 http://libraries.lau.edu.lb/research/laur/terms-of-use/thesis.php
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Layout Driven Binding In High Level Synthesis Using Reinforcement Learning

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