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Author

Karu Sankaralingam

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#artificial intelligence Preprint Sep 2026

Rethinking Heterogeneous System Disaggregation for Subquadratic Attention

SQD (SubQuadratic Disaggregation), a fine-grained heterogeneous disaggregation scheme that splits decode by quadratic and subquadratic attention rather than by operator type, and that applies across subquadratic attention variants is introduced.

Arya Tschand, Yao-Sheng Fu, Vikram Sharma Mailthody et al. · 0 citations
#machine learning Preprint Aug 2026

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. · 0 citations

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