Which Open Source Video Apps Use SMP Effectively?
ydrol writes "After building my new Core 2 Quad Q6600 PC, I was ready to unleash video conversion activity the likes of which I had not seen before. However, I was disappointed to discover that a lot of the conversion tools either don't use SMP at all, or don't balance the workload evenly across processors, or require ugly hacks to use SMP (e.g. invoking distributed encoding options). I get the impression that open source projects are a bit slow on the uptake here? Which open source video conversion apps take full native advantage of SMP? (And before you ask, no, I don't want to pick up the code and add SMP support myself, thanks.)"
Use the -threads switch.
Interested in open source engine management for your Subaru?
transocde uses separate processes for everything.
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x264 via meGUI from Doom9 is what I use to compress HD-DVD and BD movies - also on a quad core. I have some tutorials posted out and about on how I'm doing it. Near as I can tell you cannot dupe the process on Linux due to the crypto - Slysoft's AnyDVD-HD is needed.
Playback - I use XBMC for Linux. It is also SMP enabled using the ffmpeg cabac patch. the developers of this project have been VERY aggressive at taking cutting edge improvements to the likes of ffmpeg and incorporating them into the code. Since Linux has no video acceleration of H.264 SMP really helps on high bitrate video!
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Handbrake has always used both of the cores on my system for transcoding.
OP is asking for open source tools. You cited a commercial one that doesn't provide source.
VisualHub (the front-end app) may be closed, but ffmpeg is LGPL.
And the GP was suggesting using ffmpeg, not VisualHub.
How can I believe you when you tell me what I don't want to hear?
Running multiple instances of the same code concurrently in multiple threads is simple. Even running mutually exclusive parts of the same code concurrently in separate threads is easy. Converting complex serial algorithms to effectively utilize multiple cores is generally not simple. And writing code that can scale and balance across n number of cores/threads is extremely hard. There are all sorts of synchronization issues to deal with, scheduling issues, data transport issues, etc.. and it becomes increasingly hard to debug code the more cores/threads you throw in. I think the stigma is justified.
Actually, the MPEG stream resets itself every n frames or so (n is often a number like 8, but can vary depending on the video content). These are called keyframes (K) and the delta frames (called P and I frames) are generated against them. Because of this, it is really easy to apply parallel processing to video encoding.
I've noticed a lot of talk about commandline options, but not the nice guis that use them. Avidemux is open source, cross-platform, gives you a decent interface, and uses multithreaded libraries like ffmpeg and x264 on the backend to do the encoding, so it generally makes optimal use of your multicore system.
-- sudo.ca