Draft:Dav1d: Difference between revisions
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== History == |
== History == |
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In October 2018, Ronald Bultje and Jean-Baptiste Kempf announced dav1d at the VideoLAN Developer Days 2018 conference.<ref>{{Cite AV media |url=https://www.youtube.com/watch?v=UhIgBdrKyNM |title=Video Dev Days 2018: Dav1d: a fast new AV1 decoder |language=en |access-date=2024-04-29 |via=www.youtube.com}}</ref> The |
In October 2018, Ronald Bultje and Jean-Baptiste Kempf announced dav1d at the VideoLAN Developer Days 2018 conference.<ref>{{Cite AV media |url=https://www.youtube.com/watch?v=UhIgBdrKyNM |title=Video Dev Days 2018: Dav1d: a fast new AV1 decoder |language=en |access-date=2024-04-29 |via=www.youtube.com}}</ref> The goal of the project being to develop a fast AV1 software decoder to jumpstart the AV1 ecosystem and act as a [[stopgap]] solution until AV1 hardware decoders are common place. |
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Releases 0.1 to 0.7.1 were primarily dedicated to [[Color depth|low-bitdepth]] [[Single instruction, multiple data|SIMD]] optimizations, aimed at enhancing decoding efficiency on x86 and ARM.<ref>{{Cite web |title=dav1d 0.7.1 - Jean-Baptiste Kempf's Website |url=https://jbkempf.com/blog/dav1d-0.7.1/ |access-date=2024-04-29 |website=jbkempf.com}}</ref> In 2019, [[Benchmark (computing)|benchmarks]] showed that dav1d 0.5 was the fastest AV1 decoder in comparison to libgav1 and libaom.<ref>{{Cite web |last=Hoeven |first=Ewout ter |date=2019-10-10 |title=AV1 is ready for prime time Part 2: Decoding performance |url=https://medium.com/@ewoutterhoeven/av1-is-ready-for-prime-time-part-2-decoding-performance-d3428221313 |access-date=2024-04-29 |website=Medium |language=en}}</ref> Subsequent releases, from 0.7.1 to 1.0, shifted focus to high-bitdepth SIMD optimizations.<ref>{{Cite web |title=dav1d 0.9.1: a ton of asm - Jean-Baptiste Kempf's Website |url=https://jbkempf.com/blog/2021/dav1d-0.9.1-a-ton-of-asm/ |access-date=2024-04-29 |website=jbkempf.com}}</ref> |
The first usable version of dav1d, called 0.1.0 Gazelle, it was released in December 2018.<ref>{{Cite web |title=First release of dav1d, the AV1 decoder - Jean-Baptiste Kempf's Website |url=https://jbkempf.com/blog/First-release-of-dav1d/ |access-date=2024-04-29 |website=jbkempf.com}}</ref> Releases 0.1.0 to 0.7.1 were primarily dedicated to [[Color depth|low-bitdepth]] [[Single instruction, multiple data|SIMD]] optimizations, aimed at enhancing decoding efficiency on x86 and ARM.<ref>{{Cite web |title=dav1d 0.7.1 - Jean-Baptiste Kempf's Website |url=https://jbkempf.com/blog/dav1d-0.7.1/ |access-date=2024-04-29 |website=jbkempf.com}}</ref> In 2019, [[Benchmark (computing)|benchmarks]] showed that dav1d 0.5 was the fastest AV1 decoder in comparison to libgav1 and libaom.<ref>{{Cite web |last=Hoeven |first=Ewout ter |date=2019-10-10 |title=AV1 is ready for prime time Part 2: Decoding performance |url=https://medium.com/@ewoutterhoeven/av1-is-ready-for-prime-time-part-2-decoding-performance-d3428221313 |access-date=2024-04-29 |website=Medium |language=en}}</ref> Subsequent releases, from 0.7.1 to 1.0, shifted focus to high-bitdepth SIMD optimizations.<ref>{{Cite web |title=dav1d 0.9.1: a ton of asm - Jean-Baptiste Kempf's Website |url=https://jbkempf.com/blog/2021/dav1d-0.9.1-a-ton-of-asm/ |access-date=2024-04-29 |website=jbkempf.com}}</ref> |
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From the beginning, dav1d was designed to be multithreaded, allowing for a combination of both frame-level [[Parallelism (computing)|parallelism]] and tile-level parallelism. The 1.0.0 release introduced a [[thread pool]] design, where each component in the decoding loop runs as a generic task with a simple dependency management mechanism<ref>{{Cite AV media |url=https://www.youtube.com/watch?v=a4uretCJh_4 |title=Ronald S. Bultje - Low-level wizardry in dav1d |language=en |access-date=2024-05-03 |via=www.youtube.com}}</ref>. In this design, worker threads iterate over a list of available tasks, allowing for a more resource-efficient parallel decoding scheme that is independent of bitstream features like tiles. |
From the beginning, dav1d was designed to be multithreaded, allowing for a combination of both frame-level [[Parallelism (computing)|parallelism]] and tile-level parallelism. The 1.0.0 release introduced a [[thread pool]] design, where each component in the decoding loop runs as a generic task with a simple dependency management mechanism<ref>{{Cite AV media |url=https://www.youtube.com/watch?v=a4uretCJh_4 |title=Ronald S. Bultje - Low-level wizardry in dav1d |language=en |access-date=2024-05-03 |via=www.youtube.com}}</ref>. In this design, worker threads iterate over a list of available tasks, allowing for a more resource-efficient parallel decoding scheme that is independent of bitstream features like tiles. |
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Last edited by Trudluc (talk | contribs) 17 days ago. (Update) |
dav1d is a free and open-source software library and a command-line utility to decode video streams in the AV1 video coding format. It is developed by the VideoLAN and FFmpeg communities and sponsored by the Alliance for Open Media.[1] It is designed to be fast, small, cross-platform and multithreaded.[2]
dav1d is released under the BSD 2-clause "Simplified" License, a distinction from the Copyleft licensing favored by projects like FFmpeg and VideoLAN. This strategic choice of a more permissive license was made to encourage wider adoption of AV1. The decision to adopt a permissive license model for dav1d finds its roots in the Vorbis project, where similar licensing strategies were employed to promote adoption and prevent the entrenchment of proprietary formats.[3]
History
In October 2018, Ronald Bultje and Jean-Baptiste Kempf announced dav1d at the VideoLAN Developer Days 2018 conference.[4] The goal of the project being to develop a fast AV1 software decoder to jumpstart the AV1 ecosystem and act as a stopgap solution until AV1 hardware decoders are common place.
The first usable version of dav1d, called 0.1.0 Gazelle, it was released in December 2018.[5] Releases 0.1.0 to 0.7.1 were primarily dedicated to low-bitdepth SIMD optimizations, aimed at enhancing decoding efficiency on x86 and ARM.[6] In 2019, benchmarks showed that dav1d 0.5 was the fastest AV1 decoder in comparison to libgav1 and libaom.[7] Subsequent releases, from 0.7.1 to 1.0, shifted focus to high-bitdepth SIMD optimizations.[8]
From the beginning, dav1d was designed to be multithreaded, allowing for a combination of both frame-level parallelism and tile-level parallelism. The 1.0.0 release introduced a thread pool design, where each component in the decoding loop runs as a generic task with a simple dependency management mechanism[9]. In this design, worker threads iterate over a list of available tasks, allowing for a more resource-efficient parallel decoding scheme that is independent of bitstream features like tiles.
References
- ^ "dav1d - dav1d is an AV1 decoder - VideoLAN". www.videolan.org. Retrieved 2024-04-26.
- ^ "Introducing dav1d: a new AV1 decoder - Jean-Baptiste Kempf's Website". jbkempf.com. Retrieved 2024-04-26.
- ^ "LWN.net: RMS on the Ogg Vorbis license". lwn.net. Retrieved 2024-04-29.
- ^ Video Dev Days 2018: Dav1d: a fast new AV1 decoder. Retrieved 2024-04-29 – via www.youtube.com.
- ^ "First release of dav1d, the AV1 decoder - Jean-Baptiste Kempf's Website". jbkempf.com. Retrieved 2024-04-29.
- ^ "dav1d 0.7.1 - Jean-Baptiste Kempf's Website". jbkempf.com. Retrieved 2024-04-29.
- ^ Hoeven, Ewout ter (2019-10-10). "AV1 is ready for prime time Part 2: Decoding performance". Medium. Retrieved 2024-04-29.
- ^ "dav1d 0.9.1: a ton of asm - Jean-Baptiste Kempf's Website". jbkempf.com. Retrieved 2024-04-29.
- ^ Ronald S. Bultje - Low-level wizardry in dav1d. Retrieved 2024-05-03 – via www.youtube.com.