Analyzing performance variation of task schedulers with TaskInsight

We demonstrate how TaskInsight can diagnose cases where poor scheduling caused over 40% difference on average (and up to 7x slowdowns) across the Montblanc benchmarks due to changes in the tasks' data reuse through the private and shared caches. This flexible insight is key for optimization in many contexts, including data locality, throughput, memory footprint or even energy efficiency.