Multi-level Parallelization of Advanced Video Coding on Hybrid CPU/GPU Platform

Svetislav Momcilovic, Nuno Roma, Leonel Sousa
INESC-ID / IST-TU Lisbon, Rua Alves Redol, 9, 1000-029 Lisboa, Portugal
Algorithms, Models and Tools for Parallel Computing on Heterogeneous Platforms (HeteroPar’12), 2012


   title={Multi-level Parallelization of Advanced Video Coding on Hybrid CPU/GPU Platform},

   author={Momcilovic, S. and Roma, N. and Sousa, L.},



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In this paper we propose a dynamic model for parallel H.264/AVC video encoding on hybrid GPU/CPU systems. Entire inter-loop is parallelized on both CPU and GPU and computationally light and efficient model is proposed to dynamically distribute computation load among simultaneously processing devices. This model includes both dependency aware task scheduling and load balancing algorithm based on dynamic performance model. Experimental results show that with proposed model it is possible to achieve a speedup of 1.5 regarding the state-of-the-art solutions. Moreover, up to 40 frames per second implementation is achieved, for HD 1920×1080 resolution, considering exhaustive motion estimation.
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