Performance modeling and characterization of large last level caches

For each different cache configuration, we identified parametric functions to characterize the probability density of statistics related to cache performance. Observe that, the parameters (,) in (1) and (a, b, n) in (2) depend on cache configuration. We next need to study the sensitivity of the parameters in the density function to cache configuration parameters. Once this is established we can express the distribution of CRT, SRT and IHT in terms of cache size and line size alongwith workload specific constants. Having known these distributions, T crt, T srt and T iht and hence m from Model-A and Model-B can be written as an explicit function of cache size and line size for a given workload. © 2012 IEEE.