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Due to heavy computation demands of video coding, parallel implementation of the basic operations of this computation is necessary for satisfying the real time constraints usually imposed in multimedia applications. Fortunately, motion estimation within each macroblock, which is the most computation intensive task in video coding, exhibits data parallelism, that is, different data can be processed concurrently by multiple processors. Nevertheless, the use of previous frames or previous macroblocks in the same frame for encoding the current frame or macroblock, respectively makes video coding an inherently sequential procedure at a higher level, limiting the degree of parallelism that can be achieved. Yet, for limiting the effect of data loss in a frame due to transmission errors in all subsequent frames, or for providing random access capability in the encoded video, most video coding standards define segments within video that can be processed independently, that is, they do not depend on previously decoded parts of the video. Specifically, the frame sequence can be spit into a number of group of pictures (GOPs), each of which contains consecutive frames which can be encoded/decoded independently of other groups. In addition, each frame can be divided into a number of slices each containing a number of consecutive macroblocks of the frame. Again, each slice can be encoded/decoded independently of other slices. Although, the aim for these partitioning techniques was not to facilitate parallel processing, the fact that GOPs and slices can be processed independently can also be exploited for effective parallel implementation. Also, in contrast to the previous video coding standards where parallel processing was only an afterthought, in the latest standard, HEVC (Sullivan et al. 2012), parallel processing is considered in the first place and additional partitioning schemes (tiling) or pipeline-based techniques (wavefront processing) are introduced (Pourazad et al. 2012). In tiling, each frame is partitioned into rectangular regions (tiles) separated by vertical and horizontal boundaries. Each tile can be processed independently of other tiles thereby enabling parallel processing. In wavefront processing, the processing of the current frame proceeds in raster scan order but the processing of a block in a row can start as soon as two neighboring blocks in the row above have been processed.
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