A Parallel and Distributed Surrogate Model Implementation for Computational Steering

Handle URI:
http://hdl.handle.net/10754/597369
Title:
A Parallel and Distributed Surrogate Model Implementation for Computational Steering
Authors:
Butnaru, Daniel; Buse, Gerrit; Pfluger, Dirk
Abstract:
Understanding the influence of multiple parameters in a complex simulation setting is a difficult task. In the ideal case, the scientist can freely steer such a simulation and is immediately presented with the results for a certain configuration of the input parameters. Such an exploration process is however not possible if the simulation is computationally too expensive. For these cases we present in this paper a scalable computational steering approach utilizing a fast surrogate model as substitute for the time-consuming simulation. The surrogate model we propose is based on the sparse grid technique, and we identify the main computational tasks associated with its evaluation and its extension. We further show how distributed data management combined with the specific use of accelerators allows us to approximate and deliver simulation results to a high-resolution visualization system in real-time. This significantly enhances the steering workflow and facilitates the interactive exploration of large datasets. © 2012 IEEE.
Citation:
Butnaru D, Buse G, Pfluger D (2012) A Parallel and Distributed Surrogate Model Implementation for Computational Steering. 2012 11th International Symposium on Parallel and Distributed Computing. Available: http://dx.doi.org/10.1109/ISPDC.2012.35.
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
2012 11th International Symposium on Parallel and Distributed Computing
KAUST Grant Number:
UK-C0020
Issue Date:
Jun-2012
DOI:
10.1109/ISPDC.2012.35
Type:
Conference Paper
Sponsors:
This publication is based on work supported by Award No.UK-C0020, made by King Abdullah University of Science andTechnology (KAUST).
Appears in Collections:
Publications Acknowledging KAUST Support

Full metadata record

DC FieldValue Language
dc.contributor.authorButnaru, Danielen
dc.contributor.authorBuse, Gerriten
dc.contributor.authorPfluger, Dirken
dc.date.accessioned2016-02-25T12:31:46Zen
dc.date.available2016-02-25T12:31:46Zen
dc.date.issued2012-06en
dc.identifier.citationButnaru D, Buse G, Pfluger D (2012) A Parallel and Distributed Surrogate Model Implementation for Computational Steering. 2012 11th International Symposium on Parallel and Distributed Computing. Available: http://dx.doi.org/10.1109/ISPDC.2012.35.en
dc.identifier.doi10.1109/ISPDC.2012.35en
dc.identifier.urihttp://hdl.handle.net/10754/597369en
dc.description.abstractUnderstanding the influence of multiple parameters in a complex simulation setting is a difficult task. In the ideal case, the scientist can freely steer such a simulation and is immediately presented with the results for a certain configuration of the input parameters. Such an exploration process is however not possible if the simulation is computationally too expensive. For these cases we present in this paper a scalable computational steering approach utilizing a fast surrogate model as substitute for the time-consuming simulation. The surrogate model we propose is based on the sparse grid technique, and we identify the main computational tasks associated with its evaluation and its extension. We further show how distributed data management combined with the specific use of accelerators allows us to approximate and deliver simulation results to a high-resolution visualization system in real-time. This significantly enhances the steering workflow and facilitates the interactive exploration of large datasets. © 2012 IEEE.en
dc.description.sponsorshipThis publication is based on work supported by Award No.UK-C0020, made by King Abdullah University of Science andTechnology (KAUST).en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.subjectcomputational steeringen
dc.subjectparallelizationen
dc.subjectreal-time systemsen
dc.subjectsparse gridsen
dc.subjectsurrogate modelsen
dc.titleA Parallel and Distributed Surrogate Model Implementation for Computational Steeringen
dc.typeConference Paperen
dc.identifier.journal2012 11th International Symposium on Parallel and Distributed Computingen
dc.contributor.institutionTechnische Universitat Munchen, Munich, Germanyen
kaust.grant.numberUK-C0020en
All Items in KAUST are protected by copyright, with all rights reserved, unless otherwise indicated.