The ParaView coprocessing library: A scalable, general purpose in situ visualization library

Nathan Fabian, Kenneth Moreland, David Thompson, Andrew C. Bauer, Pat Marion, Berk Gevecik, Michel Rasquin, Kenneth E. Jansen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

194 Scopus citations

Abstract

As high performance computing approaches exascale, CPU capability far outpaces disk write speed, and in situ visualization becomes an essential part of an analyst's workflow. In this paper, we describe the ParaView Coprocessing Library, a framework for in situ visualization and analysis coprocessing. We describe how coprocessing algorithms (building on many from VTK) can be linked and executed directly from within a scientific simulation or other applications that need visualization and analysis. We also describe how the ParaView Coprocessing Library can write out partially processed, compressed, or extracted data readable by a traditional visualization application for interactive post-processing. Finally, we will demonstrate the library's scalability in a number of real-world scenarios.

Original languageEnglish
Title of host publication1st IEEE Symposium on Large-Scale Data Analysis and Visualization 2011, LDAV 2011 - Proceedings
Pages89-96
Number of pages8
DOIs
StatePublished - 2011
Externally publishedYes
Event1st IEEE Symposium on Large-Scale Data Analysis and Visualization 2011, LDAV 2011 - Providence, RI, United States
Duration: Oct 23 2011Oct 24 2011

Publication series

Name1st IEEE Symposium on Large-Scale Data Analysis and Visualization 2011, LDAV 2011 - Proceedings

Conference

Conference1st IEEE Symposium on Large-Scale Data Analysis and Visualization 2011, LDAV 2011
Country/TerritoryUnited States
CityProvidence, RI
Period10/23/1110/24/11

Keywords

  • coprocessing
  • in situ
  • scaling
  • simulation

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