Tryton supercomputer capabilities for analysis of massive data streams

• Autorzy: Krawczyk H. , Nykiel M. , Proficz J.
• Języki publikacji: EN

Abstrakty

EN

The recently deployed supercomputer Tryton, located in the Academic Computer Center of Gdansk University of Technology, provides great means for massive parallel processing. Moreover, the status of the Center as one of the main network nodes in the PIONIER network enables the fast and reliable transfer of data produced by miscellaneous devices scattered in the area of the whole country. The typical examples of such data are streams containing radio-telescope and satellite observations. Their analysis, especially with real-time constraints, can be challenging and requires the usage of dedicated software components. We propose a solution for such parallel analysis using the supercomputer, supervised by the KASKADA platform, which with the conjunction with immerse 3D visualization techniques can be used to solve problems such as pulsar detection and chronometric or oil-spill simulation on the sea surface.

Słowa kluczowe

EN

supercomputer; data streams; distributed systems; radio-telescope; satellite

• Wydawca: Gdańsk University of Technology, Faculty of Ocean Engineering & Ship Technology
• Czasopismo: Polish Maritime Research
• Rocznik: 2015
• Tom: nr 3
• Strony: 99--104
• Opis fizyczny: Bibliogr. 10 poz., rys.

Twórcy

autor

Krawczyk H.

• Faculty of Electronics, Telecommunications and Informatics, Gdańsk University of Technology, G. Narutowicza 11/12 Str., 80-233 Gdansk, POLAND

autor

Nykiel M.

• Faculty of Electronics, Telecommunications and Informatics, Gdańsk University of Technology, G. Narutowicza 11/12 Str., 80-233 Gdansk, POLAND

autor

Proficz J.

• Academic Computer Centre in Gdansk, Gdańsk University of Technology, ul. G. Narutowicza 11/12 Str., 80-233 Gdansk, POLAND

Bibliografia

• 1. Bobkowska, A., Nykiel, M., Proficz, J., A Model-Driven Solution for Development of Multimedia Stream Processing Applications, Proceedings of the 13th International Conference on Software Engineering, Parallel and Distributed Systems, 2014
• 2. Hennessy, J. L., Patterson, D. A., Computer architecture: a quantitative approach, Elsevier, 2012
• 3. Krawczyk, H., Nykiel, M., Proficz, J., Mobile Offloading Framework: Solution for Optimization of Mobile Applications using Cloud Computing, Communications in Computer and Information Science, 2015
• 4. Krawczyk, H., Proficz, J., Real-time multimedia stream data processing in a supercomputer environment, Interactive Multimedia, InTech, 2012
• 5. Lebiedź, J., Mazikowski, A., Innovative Solutions for Immersive 3D Visualization Laboratory, WSCG2014 Conference on Computer Graphics, Visualization and Computer Vision, 2014
• 6. Moszyński, M., Kulawiak, M., Chybicki, A., Bruniecki, K., Bieliński, T., Łubniewski, Z., Stepnowski, A., Innovative Web-based Geographic Information System for Municipal Areas and Coastal Zone Security and Threat Monitoring Using EO Satellite Data, Marine Geodesy, 2014
• 7. Proficz, J., Krawczyk, H., Task allocation and scalability evaluation for real-time multimedia processing in a cluster environment, proceeding of 6th International Conference on Pattern Recognition and Machine Intelligence, Warsaw, Poland, 2015 (accepted)
• 8. Rittinghouse, J.W., Ransome, J.F., Cloud Computing: Implementation, Management, and Security, CRC Press, Taylor and Francis Group, 2010
• 9. Thompson, A., Moran, J., Swenson Jr, G., Interferometry and synthesis in radio astronomy, John Wiley & Sons, ch. 9, pp. 304-325, 2008
• 10. Tryton Supercomputer, Academic Computer Centre in Gdansk, http://task.gda.pl/kdm/sprzet/tryton/