The paper “Parallel H.264/AVC Motion Compensation for GPUs using OpenCL” by Biao Wang, Mauricio Alvarez-Mesa, Chi Ching Chi, and Ben Juurlink has been accepted as a Transactions Letter at IEEE Transactions on Circuits and Systems for Video Technology (TCSVT). It will appear in an upcoming issue of the IEEE Transactions on Circuits and Systems for Video Technology.
Abstract: Motion compensation is one of the most compute-intensive parts in H.264/AVC video decoding. It exposes massive parallelism which can reap the benefit from Graphics Processing Units (GPUs). Control and memory divergence, however, may lead to performance penalties on GPUs. In this paper, we propose two GPU motion compensation kernels, implemented with OpenCL, that mitigate the divergence effect. In addition, the motion compensation kernels have been integrated into a complete and optimized H.264/AVC decoder that supports H.264/AVC high profile. We evaluated our kernels on GPUs with different architectures from AMD, Intel, and Nvidia. Compared to the fastest CPU used in this paper, our kernel achieves 2.0 speedup on a discrete Nvidia GPU at kernel level. However, when the overheads of memory copy and OpenCL runtime are included, no speedup is gained at application level.
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