Parallel simulation of multicomponent systems invited talk

Michael T. Heath; Xiangmin Jiao

doi:10.1007/11403937_38

Parallel simulation of multicomponent systems invited talk

Michael T. Heath
, Xiangmin Jiao

Applied Mathematics and Statistics

Stony Brook University

University of Illinois at Urbana-Champaign

Research output: Contribution to journal › Conference article › peer-review

1 Scopus citations

Abstract

Simulation of multicomponent systems poses many critical challenges in science and engineering. We overview some software and algorithmic issues in developing high-performance simulation tools for such systems, based on our experience in developing a large-scale, fully-coupled code for detailed simulation of solid propellant rockets. We briefly sketch some of our solutions to these issues, with focus on parallel and performance aspects. We present some recent progress and results of our coupled simulation code, and outline some remaining roadblocks to advancing the state of the art in high-fidelity, high-performance multi-component simulations.

Original language	English
Pages (from-to)	496-513
Number of pages	18
Journal	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3402
DOIs	https://doi.org/10.1007/11403937_38
State	Published - 2005
Event	6th International Conference - High Performance Computing for Computational Science - VECPAR 2004 - Valencia, Spain Duration: Jun 28 2004 → Jun 30 2004

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10.1007/11403937_38

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abstract = "Simulation of multicomponent systems poses many critical challenges in science and engineering. We overview some software and algorithmic issues in developing high-performance simulation tools for such systems, based on our experience in developing a large-scale, fully-coupled code for detailed simulation of solid propellant rockets. We briefly sketch some of our solutions to these issues, with focus on parallel and performance aspects. We present some recent progress and results of our coupled simulation code, and outline some remaining roadblocks to advancing the state of the art in high-fidelity, high-performance multi-component simulations.",

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AB - Simulation of multicomponent systems poses many critical challenges in science and engineering. We overview some software and algorithmic issues in developing high-performance simulation tools for such systems, based on our experience in developing a large-scale, fully-coupled code for detailed simulation of solid propellant rockets. We briefly sketch some of our solutions to these issues, with focus on parallel and performance aspects. We present some recent progress and results of our coupled simulation code, and outline some remaining roadblocks to advancing the state of the art in high-fidelity, high-performance multi-component simulations.

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DO - 10.1007/11403937_38

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JO - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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T2 - 6th International Conference - High Performance Computing for Computational Science - VECPAR 2004

Y2 - 28 June 2004 through 30 June 2004

ER -

Parallel simulation of multicomponent systems invited talk

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