I have looked at using CUDA for the arithmetic encoding/decoding part, and
concluded that although there is some potential for parallelism over a
limited number of cores, I saw no way to fit it to the
128/256/512-simultaneous-thread model of CUDA...
Wladimir
Greetings, Wladimir
On Mon, Jun 9, 2008 at 11:27 AM, Tim Borer <[EMAIL PROTECTED]> wrote:
> At 20:53 07/06/2008, David Schleef wrote:
> >Also, since arithmetic coding is an entirely serial operation, GPUs
> >are not particularly good at this either. Hopefully newer generations
> >of video cards will have dedicated units for this.
>
> Although David is correct that arithmetic coding is entirely serial,
> nevertheless GPU might help (at least with Cuda). In Dirac each
> subband is separately arithmetically encoded. From memory there are
> several dozen independent arithmetically coded subbands (4 level
> wavelet transform gives 13 subbands and there are separate subbands
> for YUV, plus the motion information is also arithmetically coded).
> If we put each of these on a separate processor we should get a speed
> up. There is a difficulty in that high frequency subbands have a
> dependency on previously decoded lower frequency sub-band.
> Nevertheless with appropriate pipelining I think it should be
> possible to get significant speedups using a multiprocessor array (as
> on Nvidia's newer GPUs)
>
> Tim
>
>
>
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