This paper presents an efficient cooperative interaction between multicore (CPU) and manycore (GPU) resources in the design of a high-performance video encoder. The proposed technique, applied to the well-established and highly optimized VP8 encoding format, can achieve a significant speed-up with respect to the mostly optimized software encoder (up to ×6), with minimum degradation of the visual quality and low processing latency. This result has been obtained through a highly optimized CPU–GPU interaction, the exploitation of specific GPU features, and a modified search algorithm specifically adapted to the GPU execution model. Several experimental results are reported and discussed, confirming the effectiveness of the proposed technique. The presented approach, though implemented for the VP8 standard, is of general interest, as it could be applied to any other video encoding scheme.

Enhanced multicore–manycore interaction in high-performance video encoding / G. Grossi, P. Paglierani, F. Pedersini, A. Petrini. - In: JOURNAL OF REAL-TIME IMAGE PROCESSING. - ISSN 1861-8200. - 17:4(2020 Aug 01), pp. 887-902.

Enhanced multicore–manycore interaction in high-performance video encoding

G. Grossi
;
F. Pedersini;A. Petrini
2020-08-01

Abstract

This paper presents an efficient cooperative interaction between multicore (CPU) and manycore (GPU) resources in the design of a high-performance video encoder. The proposed technique, applied to the well-established and highly optimized VP8 encoding format, can achieve a significant speed-up with respect to the mostly optimized software encoder (up to ×6), with minimum degradation of the visual quality and low processing latency. This result has been obtained through a highly optimized CPU–GPU interaction, the exploitation of specific GPU features, and a modified search algorithm specifically adapted to the GPU execution model. Several experimental results are reported and discussed, confirming the effectiveness of the proposed technique. The presented approach, though implemented for the VP8 standard, is of general interest, as it could be applied to any other video encoding scheme.
Video coding; VP8; CPU–GPU interaction; Hybrid/heterogeneous architectures; Parallel processing; NVIDIA CUDA
Settore INF/01 - Informatica
Settore ING-INF/03 - Telecomunicazioni
Settore ING-INF/05 - Sistemi di Elaborazione delle Informazioni
Network Function as-a-Service over Virtualised Infrastructures
2-nov-2018
Article (author)
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2434/600870
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