A Cache-Partitioning Aware Replacement Policy for Chip Multiprocessors

Chip multiprocessors (CMPs) usually employ shared, lastlevel caches to use on-chip memory resources effectively. Unfortunately, conventional replacement policies applied to shared caches fail to partition memory resources among cores to achieve an optimal execution throughput. This paper presents a novel replacement policy that dynamically estimates how many misses would be eliminated if one more block per set would be allocated to a certain processor taking into account the extra misses for some other processor. Our implementation makes novel use of shadow tags for the estimation. We show that it can yield 50% higher execution throughput on a 4-way CMP and in contrast to previously proposed schemes, we did not observe any noticeable degradation of performance for any application in the SPEC2000 we used.