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Visualization of dynamic processes in scientific high-performance computingis an immensely data intensive endeavor. Application codes have recentlydemonstrated scaling to full-size Exascale machines, and generatinghigh-quality data for visualization is consequently on the machine-scale,easily spanning 100s of TBytes of input to generate a single video frame. Insitu visualization, the technique to consume the many-node decomposed datain-memory, as exposed by applications, is the dominant workflow. Although insitu visualization has achieved tremendous progress in the last decade, scalingto system-size together with the application codes that produce its data, thereis one important question that we cannot skip: is what we produce insightfuland inspiring?

State of In Situ Visualization in Simulations: We are fast. But are we inspiring?