Layout Driven Binding In High Level Synthesis Using Reinforcement Learning

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...

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Bibliographic Details
Main Author: Melhem, Marie-Claire (author)
Format: masterThesis
Published: 2021
Subjects:
Reinforcement learning
Machine learning
Integrated circuits > Very large scale integration
Lebanese American University > Dissertations
Dissertations, Academic
Online Access: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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Internet

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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