Abstract
In the previous chapters we mainly focused on generally the most timeconsuming phase of H.264/AVC decoding, the macroblock reconstruction phase. There is another phase, however, the entropy decoding phase, that takes a significant amount of time. Therefore, Amdahl’s law teaches us that this phase also needs to be parallelized and in this chapter we show how this can be done. In order to be able to do so, however, dependencies that result from reusing sequential legacy code need to be eliminated. Experimental results gathered on a shared-memory multicore/multiprocessor system show that the presented parallel entropy-decoder scales well, but also that the obtained speedup depends in the time taken by the entropy decoding phase, due to the memory bandwidth bottleneck.
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Juurlink, B., Alvarez-Mesa, M., Chi, C.C., Azevedo, A., Meenderinck, C., Ramirez, A. (2012). Addressing the Bottleneck: Parallel Entropy Decoding. In: Scalable Parallel Programming Applied to H.264/AVC Decoding. SpringerBriefs in Computer Science. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-2230-3_6
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DOI: https://doi.org/10.1007/978-1-4614-2230-3_6
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