2012 · 21 citations · 2 references
Cluster ComputingCache CapacityEngineeringQuantitative InsightShared MemoryShared ResourcesCloud ComputingComputer EngineeringComputer ArchitectureCachingParallel ComputingPerformance Analysis ToolPerformance PortabilitySystem SoftwarePerformance Issue
Applications that are co-scheduled on a multi-core compete for shared resources, such as cache capacity and memory bandwidth. The performance degradation resulting from this contention can be substantial, which makes it important to effectively manage these shared resources. This, however, requires quantitative insight into how applications are impacted by such contention.
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The impact of memory subsystem resource sharing on datacenter applications
Lingjia Tang, Jason Mars, Neil Vachharajani et al. · 2011 · 221 citations
Characterizing multi-threaded applications based on shared-resource contention
Tanima Dey, Wei Wang, Jack W. Davidson et al. · 2011 · 54 citations