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Published November 13, 2023 | Version v2
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State of In Situ Visualization in Simulations: We are fast. But are we inspiring?

  • 1. ROR icon Lawrence Berkeley National Laboratory
  • 1. ROR icon Lawrence Livermore National Laboratory

Description

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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Additional details

Related works

Is supplement to
Preprint: arXiv:2310.00469 (arXiv)

Dates

Available
2013-11-13
Presentation Date