Name
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. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/ETFA.2010.5640975 | 2010 IEEE CONFERENCE ON EMERGING TECHNOLOGIES AND FACTORY AUTOMATION (ETFA) |
Keywords | DocType | ISSN |
instruction sets,real time,linux,industrial automation,scientific research,factory automation,automation,distributed algorithm,communication model | Conference | 1946-0740 |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Petra Piochacz | 1 | 0 | 0.34 |
| Thomas Pototschnig | 2 | 18 | 1.79 |
| Georg Acher | 3 | 5 | 3.18 |
| Udo Lang | 4 | 0 | 0.34 |
| Werner Leeb | 5 | 0 | 0.34 |