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

A large dataset for automatic design flow parameter tuning, consisting of 9 designs with 1728 parameter samples each.

Data and Resources

Cite this as

Zhiyao Xie, Guan-Qi Fang, Yu-Hung Huang, Haoxing Ren, Yanqing Zhang, Brucek Khailany, Shao-Yun Fang, Jiang Hu, Yiran Chen, Erick Carvajal Barboza (2025). Dataset: FIST: A Feature-Importance Sampling and Tree-Based Method for Automatic Design Flow Parameter Tuning. https://doi.org/10.57702/h44oywz6

DOI retrieved: January 3, 2025

Additional Info

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Created January 3, 2025
Last update January 3, 2025
Defined In https://doi.org/10.1109/ASP-DAC47756.2020.9045201
Author Zhiyao Xie
More Authors
Guan-Qi Fang
Yu-Hung Huang
Haoxing Ren
Yanqing Zhang
Brucek Khailany
Shao-Yun Fang
Jiang Hu
Yiran Chen
Erick Carvajal Barboza
Homepage https://arxiv.org/abs/2006.11144