Burger, Michael ; Bischof, Christian ; Schröppel, Christian ; Wackerfuß, Jens (2021)
A Unified and Memory Efficient Framework for Simulating Mechanical Behavior of Carbon Nanotubes.
International Conference on Computational Science (ICCS 2015). Reykjavík, Iceland (01.06.2015-03.06.2015)
doi: 10.26083/tuprints-00019380
Conference or Workshop Item, Secondary publication, Publisher's Version
|
Text
1-s2.0-S1877050915010698-main.pdf Copyright Information: CC BY-NC-ND 4.0 International - Creative Commons, Attribution NonCommercial, NoDerivs. Download (511kB) | Preview |
Item Type: | Conference or Workshop Item |
---|---|
Type of entry: | Secondary publication |
Title: | A Unified and Memory Efficient Framework for Simulating Mechanical Behavior of Carbon Nanotubes |
Language: | English |
Date: | 2021 |
Place of Publication: | Darmstadt |
Year of primary publication: | 2015 |
Publisher: | Elsevier |
Event Title: | International Conference on Computational Science (ICCS 2015) |
Event Location: | Reykjavík, Iceland |
Event Dates: | 01.06.2015-03.06.2015 |
DOI: | 10.26083/tuprints-00019380 |
Corresponding Links: | |
Origin: | Secondary publication service |
Abstract: | 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. |
Status: | Publisher's Version |
URN: | urn:nbn:de:tuda-tuprints-193809 |
Additional Information: | Erscheint auch in: Procedia Computer Science, Volume 51, pages 413-422, ISSN: 1877-0509 |
Classification DDC: | 000 Generalities, computers, information > 004 Computer science |
Divisions: | 20 Department of Computer Science > Scientific Computing Exzellenzinitiative > Graduate Schools > Graduate School of Computational Engineering (CE) Zentrale Einrichtungen > University IT-Service and Computing Centre (HRZ) > Hochleistungsrechner |
Date Deposited: | 27 Aug 2021 08:19 |
Last Modified: | 07 Nov 2022 10:21 |
URI: | https://tuprints.ulb.tu-darmstadt.de/id/eprint/19380 |
PPN: | 486168026 |
Export: |
View Item |