By Ben Juurlink,Mauricio Alvarez-Mesa,Chi Ching Chi,Arnaldo Azevedo,Cor Meenderinck,Alex Ramirez
Existing software program functions may be redesigned if programmers are looking to enjoy the functionality provided by means of multi- and many-core architectures. functionality scalability now relies on the potential for discovering and exploiting sufficient Thread-Level Parallelism (TLP) in functions for utilizing the expanding numbers of cores on a chip.
Video interpreting is an instance of an program area with expanding computational specifications each new new release. this is often due, at the one hand, to the craze in the direction of prime quality video platforms (high definition and body fee, 3D screens, and so forth) that ends up in a continual raise within the quantity of knowledge that needs to be processed in real-time. nonetheless, there's the requirement to take care of excessive compression potency that's basically attainable with video codes like H.264/AVC that use complicated coding options.
In this ebook, the parallelization of H.264/AVC interpreting is gifted as a case research of parallel programming. H.264/AVC interpreting is an instance of a posh program with many degrees of dependencies, diverse kernels, and abnormal info constructions. The publication offers a close method for parallelization of this kind of functions. It begins with a description of the set of rules, an research of the knowledge dependencies and an review of different parallelization ideas. Then the layout and implementation of a unique parallelization strategy is gifted that's scalable to many center architectures. Experimental effects on diversified parallel architectures are mentioned intimately. eventually, an outlook is given on parallelization possibilities within the upcoming HEVC standard.
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Extra resources for Scalable Parallel Programming Applied to H.264/AVC Decoding (SpringerBriefs in Computer Science)
Scalable Parallel Programming Applied to H.264/AVC Decoding (SpringerBriefs in Computer Science) by Ben Juurlink,Mauricio Alvarez-Mesa,Chi Ching Chi,Arnaldo Azevedo,Cor Meenderinck,Alex Ramirez