In situ, steerable, hardware-independent and data-structure agnostic visualization with ISAAC


  • Alexander Matthes Helmholtz-Zentrum Dresden - Rossendorf, Dresden
  • Axel Huebl Helmholtz-Zentrum Dresden - Rossendorf, Dresden
  • René Widera Helmholtz-Zentrum Dresden - Rossendorf, Dresden
  • Sebastian Grottel Technische Universit ̈at Dresden, Dresden
  • Stefan Gumhold Technische Universit ̈at Dresden, Dresden
  • Michael Bussmann Helmholtz-Zentrum Dresden - Rossendorf, Dresden



The computation power of supercomputers grows faster than the bandwidth of their storage and network. Especially applications using hardware accelerators like Nvidia GPUs cannot save enough data to be analyzed in a later step. There is a high risk of loosing important scientific information. We introduce the in situ template library ISAAC which enables arbitrary applications like scientific simulations to live visualize their data without the need of deep copy operations or data transformation using the very same compute node and hardware accelerator the data is already residing on. Arbitrary meta data can be added to the renderings and user defined steering commands can be asynchronously sent back to the running application. Using a aggregating server, ISAAC streams the interactive visualization video and enables user to access their applications from everywhere.


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How to Cite

Matthes, A., Huebl, A., Widera, R., Grottel, S., Gumhold, S., & Bussmann, M. (2016). In situ, steerable, hardware-independent and data-structure agnostic visualization with ISAAC. Supercomputing Frontiers and Innovations, 3(4), 30–48.