Interactive data exploration for high-performance fluid flow computations through porous media

Nevena Perović, Jérǒme Frisch, Ralf Peter Mundani, Ernst Rank

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

1 Scopus citations

Abstract

Huge data advent in high-performance computing (HPC) applications such as fluid flow simulations usually hinders the interactive processing and exploration of simulation results. Such an interactive data exploration not only allows scientiest to 'play' with their data but also to visualise huge (distributed) data sets in both an efficient and easy way. Therefore, we propose an HPC data exploration service based on a sliding window concept, that enables researches to access remote data (available on a supercomputer or cluster) during simulation runtime without exceeding any bandwidth limitations between the HPC back-end and the user front-end.

Original languageEnglish
Title of host publicationProceedings - 16th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2014
EditorsFranz Winkler, Viorel Negru, Tetsuo Ida, Tudor Jebelean, Dana Petcu, Stephen M. Watt, Daniela Zaharie
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages463-470
Number of pages8
ISBN (Electronic)9781479984480
DOIs
StatePublished - 5 Feb 2015
Event16th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2014 - Timisoara, Romania
Duration: 22 Sep 201425 Sep 2014

Publication series

NameProceedings - 16th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2014

Conference

Conference16th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2014
Country/TerritoryRomania
CityTimisoara
Period22/09/1425/09/14

Keywords

  • adaptive data structure
  • flow through porous media
  • high-performance computing
  • interactive data exploration
  • multi-grid-like solver concept

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