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Performance optimisation of real-tim...

Sankaraiah, Sreeramula.

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Performance optimisation of real-time video processing on multicore architecture.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Performance optimisation of real-time video processing on multicore architecture./
作者:	Sankaraiah, Sreeramula.
面頁冊數:	268 p.
附註:	Source: Dissertation Abstracts International, Volume: 77-06(E), Section: B.
Contained By:	Dissertation Abstracts International77-06B(E).
標題:	Computer science. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3742988
ISBN:	9781339356495

Performance optimisation of real-time video processing on multicore architecture.
Sankaraiah, Sreeramula.

Performance optimisation of real-time video processing on multicore architecture. - 268 p.

Source: Dissertation Abstracts International, Volume: 77-06(E), Section: B.

Thesis (Ph.D.)--Multimedia University (Malaysia), 2014.

Emergence of multi-core processors has paved the way for the use of computers for a wide variety of applications in computer vision and multimedia fields. Real-time implementation of computationally intensive applications such as Full High Definition (FHD) video processing, 3D object meshing and texture mapping have been made possible due to the advent of multicore processors. In order to fully exploit the capability of available multicore processors, it has become necessary to develop parallel processing algorithms. The aim of the thesis is to propose new techniques for optimising the performance of real-time 2D and 3D video processing applications on multicore architecture using parallelization concepts.

ISBN: 9781339356495Subjects--Topical Terms:

523869
Computer science.

Performance optimisation of real-time video processing on multicore architecture.
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520 $a Emergence of multi-core processors has paved the way for the use of computers for a wide variety of applications in computer vision and multimedia fields. Real-time implementation of computationally intensive applications such as Full High Definition (FHD) video processing, 3D object meshing and texture mapping have been made possible due to the advent of multicore processors. In order to fully exploit the capability of available multicore processors, it has become necessary to develop parallel processing algorithms. The aim of the thesis is to propose new techniques for optimising the performance of real-time 2D and 3D video processing applications on multicore architecture using parallelization concepts.
520 $a Data level parallelization method based on Group of Pictures (GOP) using a dynamic memory scheduling algorithm is proposed to improve the performance of FHD video encoding and decoding processes. This method requires less memory resource (less cache misses) and also makes use of advanced data structures such as non-temporal and MALLOC functions for minimizing latency and memory stalls.
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