Parallelization of Kvazaar HEVC Intra Encoder for Multi-core Processors

Ari Koivula, Marko Viitanen, Jarno Vanne, Timo D. Hämäläinen, Laurent Fasnacht

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    23 Citations (Scopus)
    9 Downloads (Pure)

    Abstract

    This paper introduces key parallelization strategies of our Kvazaar HEVC intra encoder for multicore processors. The schemes implemented in Kvazaar are 1) tiles; 2) Wavefront Parallel Processing (WPP); and 3) picture-level parallel processing. Kvazaar is the only practical open-source HEVC encoder that supports all these schemes. In addition, its rate-distortion-complexity characteristics are superior to other public implementations in all-intra (AI) coding. Our experiments with high-quality encoder presets show that a C implementation of Kvazaar is 19% faster than the corresponding implementation of x265 for the same coding efficiency with 8 threads and 38% faster with 16 threads. With the high-speed presets, Kvazaar improves coding efficiency by 4.5% while being twice as fast as x265. The high-speed preset of Kvazaar obtains almost the same coding efficiency as the high-quality preset of f265 while being 24 times faster when 16 threads are used.
    Original languageEnglish
    Title of host publication2015 IEEE Workshop on Signal Processing Systems (SiPS)
    PublisherIEEE
    ISBN (Print)978-1-4673-9604-2
    DOIs
    Publication statusPublished - 2015
    Publication typeA4 Article in a conference publication
    EventIEEE Workshop on Signal Processing Systems -
    Duration: 1 Jan 1900 → …

    Conference

    ConferenceIEEE Workshop on Signal Processing Systems
    Period1/01/00 → …

    Publication forum classification

    • Publication forum level 1

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