DocumentCode :
3166673
Title :
High performance computing methods for automation
Author :
Piochacz, Petra ; Pototschnig, Thomas ; Acher, Georg ; Lang, Udo ; Leeb, Werner
Author_Institution :
LRR, Tech. Univ. Munchen, Garching, Germany
fYear :
2010
fDate :
13-16 Sept. 2010
Firstpage :
1
Lastpage :
4
Abstract :
With the rising importance of automation systems, the demands on computational requirements increase as well. Industrial automation systems not only have to perform complex calculations on huge amounts of data in real-time, they also have to be reliable, which is essential for industry. Combining all requirements, it has increasingly become impossible to be achieved by a single PC. Fortunately, there is High Performance Computing which provides various concepts of e. g. distributing algorithms to a cluster of PCs. Although HPC is common in scientific research, it is yet rarely found in industrial applications even though HPC can bring significant improvements. For this reason, we want to demonstrate how a HPC communication model with distribution and self-balancing mechanism can be applied to a concrete application of industry in practice.
Keywords :
factory automation; HPC communication model; computational requirements; distribution mechanism; high performance computing methods; industrial automation systems; self-balancing mechanism;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Emerging Technologies and Factory Automation (ETFA), 2010 IEEE Conference on
Conference_Location :
Bilbao
ISSN :
1946-0740
Print_ISBN :
978-1-4244-6848-5
Type :
conf
DOI :
10.1109/ETFA.2010.5640975
Filename :
5640975
Link To Document :
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