RT Conference Proceedings
T1 Efficient Parallel Video Encoding on Heterogeneous Systems
A1 Momcilovic, Svetislav
A1 Ilic, Aleksandar
A1 Roma, Nuno
A1 Sousa, Leonel
A2 Carretero Pérez, Jesús
A2 García Blas, Javier
A2 Barbosa, Jorge
A2 Morla, Ricardo
A2 Universidad Carlos III de Madrid. Computer Architecture, Communications and Systems Group (ARCOS)
AB In this study we propose an efficient method for collaborative H.264/AVC inter-loop encoding in heterogeneous CPU+GPU systems. This method relies on specifically developed extensive library of highly optimized parallel algorithms for both CPU and GPU architectures, and all inter-loop modules. In order to minimize the overall encoding time, this method integrates adaptive load balancing for the most computationally intensive, inter-prediction modules, which is based on dynamically built functional performance models of heterogenous devices and inter-loop modules. The proposed method also introduces efficient communication-aware techniques, which maximize data reusing, and decrease the overhead of expensive data transfers in collaborative video encoding. The experimental results show that the proposed method is able of achieving real-time video encoding for very demanding video coding parameters, i.e., full HD video format, 64×64 pixels search area and the exhaustive motion estimation.
SN 978-84-617-2251-8
YR 2014
FD 2014-11
LK https://hdl.handle.net/10016/21976
UL https://hdl.handle.net/10016/21976
LA eng
NO Proceedings of: First International Workshop on Sustainable Ultrascale Computing Systems (NESUS 2014). Porto (Portugal), August 27-28, 2014.
NO This work was supported by national funds through FCT – Fundação para a Ciência e a Tecnologia, under projects PEst-OE/EEI/LA0021/2013, PTDC/EEI-ELC/3152/2012 and PTDC/EEA-ELC/117329/2010.
DS e-Archivo
RD 17 jul. 2024