FIST - A Feature-Importance Sampling and Tree-Based Method for Automatic Design Flow Parameter Tuning
ASP-DAC, pp. 19-25, 2020.
Design flow parameters are of utmost importance to chip design quality and require a painfully long time to evaluate their effects. In reality, flow parameter tuning is usually performed manually based on designers’ experience in an ad hoc manner. In this work, we introduce a machine learning-based automatic parameter tuning methodology t...More
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