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Abstract
The purpose of this work is to present different techniques of video stream algorithms parallelization provided by the Kaskada platform - a novel system working in a supercomputer environment designated for multimedia streams processing. Considered parallelization methods include frame-level concurrency, multithreading and pipeline processing. Execution performance was measured on four time-consuming image recognition algorithms, designed to support medical endoscopic examinations. The achieved results confirm high capabilities of Kaskada platform for executing parallel algorithms. Frame-level parallelization was proved to be a great solution for offline processing, while pipeline processing combined with multithreading provided high performance for online, real-time analysis.
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- Category:
- Conference activity
- Type:
- publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
- Title of issue:
- Proceedings of the 5th International conference of Young Scientists : Computer Science & Engineering 2011, Lviv, Ukraine 24-26 November 2011 strony 146 - 149
- Language:
- English
- Publication year:
- 2011
- Bibliographic description:
- Brzeski A.: Parallelization of video stream algorithms in kaskada platform// Proceedings of the 5th International conference of Young Scientists : Computer Science & Engineering 2011, Lviv, Ukraine 24-26 November 2011/ ed. O. Berezko. - Lviv Polytechnic National University. Lviv: Publishing House of Lviv Polytechnic National University, 2011, s.146-149
- Verified by:
- Gdańsk University of Technology
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