Performance optimisation of real-time video processing on multicore architecture

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 tex...

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Bibliographic Details
Main Author:	Sankaraiah, Sreeramula
Format:	Thesis
Published:	2014
Subjects:	QA75.5-76.95 Electronic computers Computer science QA76.75-76.765 Computer software
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id	my-mmu-ep.6235
record_format	uketd_dc
spelling	my-mmu-ep.62352015-07-13T03:25:14Z Performance optimisation of real-time video processing on multicore architecture 2014-11 Sankaraiah, Sreeramula QA75.5-76.95 Electronic computers. Computer science QA76.75-76.765 Computer software 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. 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. 2014-11 Thesis http://shdl.mmu.edu.my/6235/ http://library.mmu.edu.my/diglib/onlinedb/dig_lib.php phd doctoral Multimedia University Faculty of Computing and Informatics
institution	Multimedia University
collection	MMU Institutional Repository
topic	QA75.5-76.95 Electronic computers Computer science QA76.75-76.765 Computer software
spellingShingle	QA75.5-76.95 Electronic computers Computer science QA76.75-76.765 Computer software Sankaraiah, Sreeramula Performance optimisation of real-time video processing on multicore architecture
description	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. 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.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Sankaraiah, Sreeramula
author_facet	Sankaraiah, Sreeramula
author_sort	Sankaraiah, Sreeramula
title	Performance optimisation of real-time video processing on multicore architecture
title_short	Performance optimisation of real-time video processing on multicore architecture
title_full	Performance optimisation of real-time video processing on multicore architecture
title_fullStr	Performance optimisation of real-time video processing on multicore architecture
title_full_unstemmed	Performance optimisation of real-time video processing on multicore architecture
title_sort	performance optimisation of real-time video processing on multicore architecture
granting_institution	Multimedia University
granting_department	Faculty of Computing and Informatics
publishDate	2014
_version_	1747829609194323968

Performance optimisation of real-time video processing on multicore architecture

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