A Collaborative Scheduling-Based Parallel Solution for HEVC Encoding on Multicore Platforms
In order to meet the high computational demand to achieve superior coding efficiency and to explore the parallelism of parallel processing architectures, the emerging high efficiency video coding (HEVC) standard has been designed to be more parallelizable than previous video coding standards. However, it is still desirable to design an efficient parallel HEVC encoder to fully exploit the parallelism of the increasingly powerful multicore platforms, especially when considering the amount of parallelism, the scalability of parallelization, and the coding efficiency. In this work, a performance model of HEVC encoding is first introduced to investigate the speedup and the limitations of the technique of wavefront parallel processing (WPP) under various conditions. Then, a collaborative scheduling-based parallel solution (CSPS) for HEVC encoding is proposed, which includes adaptive parallel mode decision, asynchronous frame-level pixel interpolation, and multigrained task scheduling. The goal of the proposed CSPS is to defeat the disadvantages of WPP and further improve the parallelization of HEVC encoding on multicore platforms. Extensive experimental results demonstrate the efficiency of the proposed CSPS for parallelizing HEVC encoding as the computing resources of multicore architectures can be fully utilized.