Datum
2015-06-01Schlagwort
004 Informatik Konjugierte-Gradienten-MethodeGemeinsamer SpeicherKohlenstoff-NanoröhreSimulationMetadata
Zur Langanzeige
Aufsatz
A unified and memory efficient framework for simulating mechanical behavior of carbon nanotubes
Zusammenfassung
Carbon nanotubes possess many interesting properties, which make them a promising material for a variety of applications. In this paper, we present a unified framework for the simulation of the mechanical behavior of carbon nanotubes. It allows the creation, simulation and visualization of these structures, extending previous work by the research group “MISMO” at TU Darmstadt. In particular, we develop and integrate a new matrix-free iterative solving procedure, employing the conjugate gradient method, that drastically reduces the memory consumption in comparison to the existing approaches. The increase in operations for the memory saving approach is partially offset by a well scaling shared-memory parallelization. In addition the hotspots in the code have been vectorized. Altogether, the resulting simulation framework enables the simulation of complex carbon nanotubes on commodity multicore desktop computers.
Zitierform
In: Procedia Computer Science Volume 51 (2015-06-01) , S. 413-422 ; EISSN 1877-0509Förderhinweis
The work of M. Burger is supported by the ’Excellence Initiative’ of the German Federal and State Governments and the Graduate School of Computational Engineering at Technische Universität Darmstadt. The work of C. Schröppel and J. Wackerfuß is financially supported by the Deutsche Forschungsgemeinschaft (DFG) via the Emmy Noether Program under Grant No. Wa 2514/3-1.Zitieren
@article{doi:10.17170/kobra-202102183296,
author={Burger, Michael and Bischof, Christian and Schröppel, Christian and Wackerfuß, Jens},
title={A unified and memory efficient framework for simulating mechanical behavior of carbon nanotubes},
journal={Procedia Computer Science},
year={2015}
}
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2021-02-19T13:21:11Z 2021-02-19T13:21:11Z 2015-06-01 doi:10.17170/kobra-202102183296 http://hdl.handle.net/123456789/12545 The work of M. Burger is supported by the ’Excellence Initiative’ of the German Federal and State Governments and the Graduate School of Computational Engineering at Technische Universität Darmstadt. The work of C. Schröppel and J. Wackerfuß is financially supported by the Deutsche Forschungsgemeinschaft (DFG) via the Emmy Noether Program under Grant No. Wa 2514/3-1. eng Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ parallelization vectorization simulation software engineering carbon nanotubes matrix-free solver 004 A unified and memory efficient framework for simulating mechanical behavior of carbon nanotubes Aufsatz Carbon nanotubes possess many interesting properties, which make them a promising material for a variety of applications. In this paper, we present a unified framework for the simulation of the mechanical behavior of carbon nanotubes. It allows the creation, simulation and visualization of these structures, extending previous work by the research group “MISMO” at TU Darmstadt. In particular, we develop and integrate a new matrix-free iterative solving procedure, employing the conjugate gradient method, that drastically reduces the memory consumption in comparison to the existing approaches. The increase in operations for the memory saving approach is partially offset by a well scaling shared-memory parallelization. In addition the hotspots in the code have been vectorized. Altogether, the resulting simulation framework enables the simulation of complex carbon nanotubes on commodity multicore desktop computers. open access Burger, Michael Bischof, Christian Schröppel, Christian Wackerfuß, Jens 10.1016/j.procs.2015.05.261 Konjugierte-Gradienten-Methode Gemeinsamer Speicher Kohlenstoff-Nanoröhre Simulation publishedVersion EISSN 1877-0509 Procedia Computer Science 413-422 Volume 51 false
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