Abstract:
Multicore systems with shared Last Level Cache
(LLC) possess a bigger challenge in allocating the LLC space
among multiple applications running in the system. Since all
applications use the shared LLC, interference caused by them
may evict important blocks of other applications that result in
premature eviction and may also lead to thrashing. Replacement
policies applied locally to a set distributes the sets in a dynamic
way among the applications. However, previous work on replacement techniques focused on the re-reference aspect of a block or
application behavior to improve the overall system performance.
The paper proposes a novel cache replacement technique Application Aware Re-reference Interval Prediction (AARIP) that considers
application behavior, re-reference interval, and premature block
eviction for replacing a cache block. Experimental evaluation
on a four-core system shows that AARIP achieves an overall
performance improvement of 7.28%, throughput by 4.9%, and
improves overall system fairness by 7.85%, as compared to the
traditional SRRIP replacement policy.
