[Cin] Observations using GPU on DNxHD and MPEG proxy while running CinelerraGG
igorbeg at visi1.org
Thu May 16 10:30:01 CEST 2019
Pierre, your video card is good, for me.
It has 640 CUDA CORES. Unfortuantely only ffmpeg-nvenc use cuda core and
not for all codec, seems to me.
If you use Blender (http://www.blender.org/) and enable
ComputeDevice=YourGTX you can see that cuda cores save a lot of your
time to render a 3Dmodel/scene and your cpu% is low.
Il 15/05/2019 23.22, Pierre autourduglobe ha scritto:
> Yes, I am also inclined to believe that my video card is the
> culprit... for the lack of frame rate. It would not be able, through
> Open-GL, to decode simultaneously the 5 streams (composer + 4 mixers).
> I've never played any games on my computers either... but "gamer"
> cards are much cheaper than pro cards, while being relatively
> powerful, and that's why I've always chosen them for video editing.
> My current video card dates from 2014, it's a Nvidia GTX-750ti:
> It includes 2 GB of GDDR5 memory, 128-bit memory interface and a
> Bandwidth of 86.4 GB/s
> If it becomes clear that it is the guilty one... I'm ready to buy
> another more powerful one.
> I started looking at what could be bought, which would not be too
> expensive and would be compatible with my current power supply (which
> I don't want to change).
> I also don't know if Nvidia video cards or AMD cards would be the most
> compatible and optimized for Cinelerra-GG.
> Here are the models I'm considering right now:
> - Nvidia GeForce GTX 1070 (8GB, 256-Bit GDDR5, Bandwidth 256 GB/s
> - Nvidia GeForce GTX 1660 Ti (6GB, 192-Bit GDDR6, Bandwidth 288 GB/s
> - AMD Radeon RX 580 (8GB, 256-Bit GDDR5, Bandwidth 256 GB/s
> - AMD Radeon RX 570 (4GB, 256-Bit GDDR5, Bandwidth 224 GB/s
> But I'm not ready to buy right now....
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