A Reinforcement Learning Based Logic Synthesis Framework for Further Area Optimization

碩士 === 國立清華大學 === 資訊工程學系所 === 106 === It is well-known in the industry that the outcomes of Electronic Design Automation(EDA) tools can be further fine-tuned by carefully trimming gate-level cell library at logic synthesis stage. With better selections of library cells, the Synopsys Design Compiler...

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Bibliographic Details
Main Authors: Chang, Shu-Huan, 張書桓
Other Authors: Chang, Shih-Chieh
Format: Others
Language:en_US
Published: 2018
Online Access:http://ndltd.ncl.edu.tw/handle/r2v34g