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.
Autorzy
Informacje dodatkowe
- Kategoria
- Aktywność konferencyjna
- Typ
- publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
- Język
- angielski
- Rok wydania
- 2011
Źródło danych: MOSTWiedzy.pl - publikacja "Parallelization of video stream algorithms in kaskada platform" link otwiera się w nowej karcie
