Publication | Closed Access
Cache characterization surfaces and predicting workload miss rates
11
Citations
6
References
2001
Year
Cluster ComputingEngineeringComputer ArchitectureCache Characterization SurfacesPerformance IssueData ScienceManagementPerformance TuningParallel ComputingPerformance PredictionWeb CacheMiss SurfaceComputer EngineeringCachingComputer ScienceExamine CachesLocality SurfacesEdge ComputingCloud ComputingParallel Programming
In this paper, we use locality surfaces to predict cache miss rates. To do this, we introduce two new surfaces. The miss surface characterizes how a trace is filtered by a particular cache in terms of locality. A cache characterization surface helps us examine caches in terms of what stride/delay relationships are likely to cause misses in the cache. The cache characterization surface is independent of any workload. We use these surfaces to quantitatively predict cache miss rates with some degree of accuracy.
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