DocumentCode :
256715
Title :
Study of task scheduling for HEVC video decoder in heterogeneous computational environment
Author :
Arzumanyan, R. ; Fartukov, A. ; Jeik Kim
Author_Institution :
Algorithm Lab., Samsung R&D Inst. Rus, Moscow, Russia
fYear :
2014
fDate :
7-10 Oct. 2014
Firstpage :
577
Lastpage :
579
Abstract :
With the fast development of mobile technologies and wireless Internet access, video streaming share grows rapidly. New HEVC (High Efficiency Video Codec) standard was introduced by ITU-T in 2013. It increases compression rate and, in the same time, computational efforts. Thus development of efficient decoding systems for mobile platforms becomes actual problem. This paper is dedicated to analysis of possible issues which arise during design of the important decoder´s component - task scheduler. In particular, opportunities of HEVC decoding parallelization on mobile devices using GPGPU (General Purpose Graphics Processing Unit) technique are considered.
Keywords :
decoding; graphics processing units; scheduling; video codecs; video coding; video streaming; GPGPU; HEVC video decoder; efficient decoding systems; general purpose graphics processing unit technique; heterogeneous computational environment; high efficiency video codec standard; mobile devices; mobile platforms; task scheduling; video streaming; Bandwidth; Central Processing Unit; Decoding; Graphics processing units; Kernel; Random access memory; Streaming media; Heterogeneous computational environment; High Efficiency Video Coding (HEVC); OpenCL; general-purpose computing; graphics processing unit (GPU); task scheduler;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Electronics (GCCE), 2014 IEEE 3rd Global Conference on
Conference_Location :
Tokyo
Type :
conf
DOI :
10.1109/GCCE.2014.7031103
Filename :
7031103
Link To Document :
بازگشت