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A Framework for Performance Analysis of Parallel Discrete Event

A Framework for Performance Analysis of Parallel Discrete Event

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this video demonstrates the visualizations and interactions of our visual analytics framework the real-time performance data obtained from an HPC system is processed with our analysis algorithms and then the stream results are visualized in each respective view we first monitor the secondary rollbacks at the top performance behavior view right immediately after the peak is generated by the green cluster our algorithm detects the change point because the causality view indicates network sends has causality to the secondary rollbacks we select Network sense to appear at the bottom performance behavior view while monitoring the performance metrics we noticed that the orange cluster continues to generate high values for both metrics at several time points also at the bottom behavior similarity view we can see four outliers in the orange cluster we select these outliers we can see that these outliers are related to the high peaks in the network sense our algorithm detects several change poi

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