Coupling the Uintah Framework and the VisIt Toolkit for Parallel In Situ Data Analysis and Visualization and Computational Steering

Allen Sanderson, Alan Humphrey, John Schmidt, Robert Sisneros

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Data analysis and visualization are an essential part of the scientific discovery process. As HPC simulations have grown, I/O has become a bottleneck, which has required scientists to turn to in situ tools for simulation data exploration. Incorporating additional data, such as runtime performance data, into the analysis or I/O phases of a workflow is routinely avoided for fear of excaberting performance issues. The paper presents how the Uintah Framework, a suite of HPC libraries and applications for simulating complex chemical and physical reactions, was coupled with VisIt, an interactive analysis and visualization toolkit, to allow scientists to perform parallel in situ visualization of simulation and runtime performance data. An additional benefit of the coupling made it possible to create a “simulation dashboard” that allowed for in situ computational steering and visual debugging.

Original languageEnglish (US)
Title of host publicationHigh Performance Computing - ISC High Performance 2018 International Workshops, Revised Selected Papers
EditorsMichèle Weiland, Sadaf Alam, John Shalf, Rio Yokota
PublisherSpringer-Verlag Berlin Heidelberg
Pages201-214
Number of pages14
ISBN (Print)9783030024642
DOIs
StatePublished - Jan 1 2018
EventInternational Conference on High Performance Computing, ISC High Performance 2018 - Frankfurt, Germany
Duration: Jun 28 2018Jun 28 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11203 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceInternational Conference on High Performance Computing, ISC High Performance 2018
CountryGermany
CityFrankfurt
Period6/28/186/28/18

Keywords

  • Computational steering
  • In situ visualization
  • Runtime performance data
  • Visual debugging

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Sanderson, A., Humphrey, A., Schmidt, J., & Sisneros, R. (2018). Coupling the Uintah Framework and the VisIt Toolkit for Parallel In Situ Data Analysis and Visualization and Computational Steering. In M. Weiland, S. Alam, J. Shalf, & R. Yokota (Eds.), High Performance Computing - ISC High Performance 2018 International Workshops, Revised Selected Papers (pp. 201-214). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11203 LNCS). Springer-Verlag Berlin Heidelberg. https://doi.org/10.1007/978-3-030-02465-9_14