Deep Reinforcement Learning for Resource Constrained HLS Scheduling
High-level synthesis (HLS) scheduling, an NP-hard problem, is a process that auto-mates VLSI design and is a very important step in silicon compilation. HLS takes as input a behavioral description of a system with a set of constraints and outputs an RTL description of a digital system. The two main...
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| Format: | masterThesis |
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2022
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| Online Access: | http://hdl.handle.net/10725/13937 https://doi.org/10.26756/th.2022.419 http://libraries.lau.edu.lb/research/laur/terms-of-use/thesis.php |
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