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arXiv · 2310.00469

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

Axel Huebl·Arianna Formenti·Marco Garten·Jean-Luc Vay
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Abstract

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

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Axel Huebl, Arianna Formenti, Marco Garten, Jean-Luc Vay. 2023-09-30. State of In Situ Visualization in Simulations: We are fast. But are we inspiring?. https://arxiv.org/abs/2310.00469

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