The V-Way Cache: Demand Based Associativity via Global Replacement

Abstract

As processor speeds increase and memory latency becomes more critical, intelligent design and management of secondary caches becomes increasingly important. The efficiency of current set-associative caches is reduced because programs exhibit a non-uniform distribution of memory accesses across different cache sets. We propose a technique to vary the associativity of a cache on a per-set basis in response to the demands of the program. By increasing the number of tag-store entries relative to the number of data lines, we achieve the performance benefit of global replacement while maintaining the constant hit latency of a set-associative cache. The proposed variable-way, or V-Way, set-associative cache achieves an average miss rate reduction of 13% on sixteen benchmarks from the SPEC CPU2000 suite. This translates into an average IPC improvement of 8%.