DocumentCode
2896499
Title
An LLVM-based decoder for MPEG Reconfigurable Video Coding
Author
Gorin, J. ; Wipliez, M. ; Piat, J. ; Prêteux, F. ; Raulet, M.
Author_Institution
ARTEMIS, Inst. Telecom SudParis, Evry, France
fYear
2010
fDate
6-8 Oct. 2010
Firstpage
81
Lastpage
86
Abstract
MPEG Reconfigurable Video Coding(RVC) is a new platform-independent specification methodology chosen by the MPEG community for describing coding standards. This methodology aims at producing Abstract Decoder Models (ADMs) of MPEG decoders as dataflow programs described in RVC-CAL Actor Language (RVC-CAL). RVC-CAL naturally expresses potential parallelism between tasks of an application, which makes an ADM description suitable for implementation to a wide variety of platform, from uniprocessor systems to FPGAs. MPEG RVC eases the conception process of decoders by describing decoders at a library component level instead of using monilithic algorithms, and by providing a library of coding tools standardized in MPEG. This paper presents new mechanisms based on the Low Level Virtual Machine (LLVM) capacities that allow the conception of the first decoder able to dynamically instantiate an RVC decoder description. This decoder, unlike static decoders generated by RVC tools, keeps de facto the features of an RVC description namely portability, scalability and reconfiguration ability.
Keywords
data flow computing; field programmable gate arrays; multimedia communication; video coding; FPGA; LLVM-based decoder; MPEG multimedia coding technology; MPEG reconfigurable video coding; RVC-CAL actor language; abstract decoder models; coding standards; dataflow programs; low level virtual machine; Decoding; Encoding; Libraries; Standards; Transform coding; Video coding; Virtual machining; Code synthesis; Dataflow programming; Low Level Virtual Machine; MPEG decoder; Multi-core; RVC-CAL Actor Language; Reconfigurable Video Coding;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Systems (SIPS), 2010 IEEE Workshop on
Conference_Location
San Francisco, CA
ISSN
1520-6130
Print_ISBN
978-1-4244-8932-9
Electronic_ISBN
1520-6130
Type
conf
DOI
10.1109/SIPS.2010.5624767
Filename
5624767
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