Efficient Multi-Threading Strategies in VVenC, an Open and Optimized VVC Encoder Implementation

Abstract

The Versatile Video Coding (VVC) standard has been developed to meet the ever-increasing demand for higher compression of digital video data. Compared to its predecessor, the High-Efficiency Video Coding (HEVC) standard, VVC reduces the bitrate by around 50% for the same perceived quality. This increase in compression efficiency is associated with an increase in computational complexity, mainly on the encoder side. As an open and optimized VVC software encoder implementation, VVenC integrates algorithmic optimizations for each coding tool in VVC. This allows to define a set of five presets from faster to slower as Pareto-optimal tradeoffs between runtime and efficiency. On top, multithreading allows to reduce the runtime and preserves most of the compression efficiency of each preset. This paper presents and analyses the different multi-threading strategies in VVenC. Using a combination of pre-processing, picture-level and in-picture parallelization, VVenC can achieve a parallelization speedup with a factor of 4 for 4 threads while reducing the compression efficiency by only 0.4%. For higher thread numbers, i.e. 16, the speedup depends on the video resolution and used encoder preset, ranging from 6-9 for high definition to 10-12 for ultrahigh definition video with similar loss of compression efficiency. Using additional wavefront and tiles in-picture parallelization, higher speedups can be achieved at the costs of decreased coding efficiency.