FIST - A Feature-Importance Sampling and Tree-Based Method for Automatic Design Flow Parameter Tuning

Zhiyao Xie
Zhiyao Xie
Guan-Qi Fang
Guan-Qi Fang
Yu-Hung Huang
Yu-Hung Huang
Yanqing Zhang
Yanqing Zhang
Erick Carvajal Barboza
Erick Carvajal Barboza

ASP-DAC, pp. 19-25, 2020.

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Abstract:

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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