On the Limits of Machine-Learned Ranking for Modern Microarchitectural Policies
It is shown that high cycle or aggregate ranking accuracy can reflect mastery of easy, high-margin cases while missing the local reversals that carry the most architectural insight and for which cycle-level simulation remains indispensable.
Yan-Xin Zhang, Shayne Wadle, Yuxuan Xiong et al.
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