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Abstract

Summary

Running complex simulations is only one of the challenges in the computational geophysics workflow. The massive amounts of data produced by simulations need to be analyzed and visualized in order to extract scientific understanding from the computations. Following the traditional post-processing workflow is increasingly showing its limitations due to the growing discrepancy between compute- and IO performance in HPC systems. Data should therefore be analyzed and visualized where it was generated, and ideally even while it is being generated. In this talk, we will present different techniques for in-situ visualization to remote rendering that help computational scientist to avoid moving large datasets between compute and analysis and how GPUs can be used in this process.

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/content/papers/10.3997/2214-4609.201414041
2015-09-13
2024-04-27
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References

  1. [1]CUDA IPC: http://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html
  2. [2]VTK-M: m.vtk.org
  3. [3]Rendering on Tesla GPUs: www.nvidia.com/content/PDF/remote-viz-tesla-gpus.pdf
    [Google Scholar]
  4. [4]NVIDIA driver releases: http://nvidia.com/drivers
    [Google Scholar]
  5. [5]IceT Compositing Library: prod.sandia.gov/techlib/access-control.cgi/2009/093170.pdf
  6. [6]NvENC: https://developer.nvidia.com/nvidia-video-codec-sdk
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