Firstly, we propose an analytical and several heuristic models that encapsulate and predict the impact of cache sharing. The models differ by their complexity and prediction accuracy. We validate the models against a cycle-accurate simulation. The most accurate model achieves an average error of 3.9%. Through a case study, we found that the cache sharing impact is largely affected by the temporal reuse behaviors of the co-scheduled applications.variation for an individual application as determined by other applications that are co-scheduled with it. ... 1In Figure 1.1(a), the number of instructions that mcf executes in each co-schedule varies when it is co-scheduled with differentanbsp;...
|Title||:||Analyzing and Managing Shared Cache in Chip Multi-Processors|
|Publisher||:||ProQuest - 2008|