3 papers
cs.AR2026
On the Limits of Machine-Learned Ranking for Modern Microarchitectural Policies
Yanxin Zhang, Shayne Wadle, Yuxuan Xiong +3
Machine-learning predictors estimate processor performance far faster than cycle-level simulation. For design-space exploration, however, the valuable test is not merely reproducin…
cs.AR2026
Beyond Static Policies: Dynamic Selection Among Modern Microarchitectural Policies
Yanxin Zhang, Ian McDougall, Junnan Li +3
Modern processors gain performance from interacting policies: prefetchers, predictors, replacement rules, and schedulers. These policies are often evaluated one at a time, yet a po…
cs.AR2026
Beyond Static Policies: Exploring Dynamic Policy Selection for Single-Thread Performance Optimization
Yanxin Zhang, Ian McDougall, Junnan Li +3
For over a decade, processor design has focused on implementing sophisticated policies for various components of the out-of-order pipeline, including cache replacement and prefetch…