Scalable computation for spatially scalable video coding using NVIDIA CUDA and multi-core CPU
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Reducing branch divergence in GPU programs
Proceedings of the Fourth Workshop on General Purpose Processing on Graphics Processing Units
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Currently the high computational complexity makes it very difficult to produce a whole high definition real-time H.264 encoder solution, for conventional personal computer platform, based only on single-threaded software implementation. Considering that, the current paper analyses the potential of using modern general purpose graphical processing technologies, such as NVIDIA CUDA ® platform, as acceleration engines to improve the overall performance of a computer based H.264 intra video encoder. Performed experiments allowed discriminating the real gains when replacing a CPU based only solution by a GPU identifying some practical bottlenecks related with that solution. The most efficient proposal was finally compared with the original H.264/AVC reference code and the optimized x264 open source library codec, registering significant performance gains (in same cases higher than 7.6x).