Design of Multicore HEVC Decoders Using Actor-based Dataflow Models and OpenMP

Miguel Chavarrias (1) , Fernando Pescador (1) , Matias Garrido (1) , Maxime Pelcat (2) , Eduardo Juarez (1)

1 UPM - Universidad Politécnica de Madrid
2 IETR - Institut d'Électronique et des Technologies du numéRique

This paper explains the design of a new back-end for the Open Reconfigurable Video Coding CAL Actor Language compiler framework (Orcc). This back-end uses the OpenMP API instead of the pthreads library to automatically generate C code for any multicore architecture with OpenMP support. With this back-end, implementations of an HEVC decoder have been automatically generated and tested for three different multicore target architectures. The new back-end does not introduce a performance penalty regarding to the actual C back-end, and enables the use of new target architectures, such as DSPs.

Domaines: Traitement du signal et de l'image [eess.SP]; Systèmes embarqués

Miguel Chavarrias, Fernando Pescador, Matias Garrido, Maxime Pelcat, Eduardo Juarez. Design of Multicore HEVC Decoders Using Actor-based Dataflow Models and OpenMP. 2016 IEEE International Conference on Consumer Electronics, Jan 2016, Las Vegas, United States. ⟨10.1109/icce.2016.7430616⟩. ⟨hal-01239260⟩