[asterisk-dev] nVidia Cuda

[Matthew Rubenstein]

	Compression algorithms have generally not been ported to GPUs like the
G80. They're usually more logic and branch oriented than just brute
force multiply-accumulates that GPUs specialize in. I also haven't seen
any of the popular Asterisk codecs, like G.729 or GSM, ported to any
GPU. Is there a source for codecs ported to GPUs? Or any research
showing a good approach?


On Sun, 2007-03-04 at 10:12 -0700, asterisk-dev-request at lists.digium.com
wrote:
> Date: Sat, 03 Mar 2007 22:05:19 -0500
> From: Wai Wu <wkwu at calltrol.com>
> Subject: [asterisk-dev] nVidia Cuda
> To: asterisk-dev at lists.digium.com
> Message-ID: <B0430B20D208514CB2AFF57E81645C3101B970 at k3-1.Calltrol.com>
> Content-Type: text/plain; charset="iso-8859-1"
> 
> Hi devs,
> 
> Has any one looked into cuda to see if cpu intensive part of
> asterisk(like codecs and conference) can be moved to the G80
> processor? I found that the GF8800 cards are very inexpensive (around
> 400 USDs per). I have ported some of our financial applications to
> this board and found almost 10x performance improvement over the 3GHz
> C2D host processor. I would like to do the same for asterisk. 
> 
> To start. I have been looking into the asterisk code and have no crew
> how it is structured except the addon applications. Here I have two
> questions.
> 
> 1) Is each channel use their own thread if a codec is used?
> 2) Which part of the asterisk code actually makes the call to the
> necessary codec? I notice in the applications. They save and set the
> frame format, then read from the channel. So I trace the read
> function, but all it does is reading from a file descriptor. So I need
> some help here. 
-- 

(C) Matthew Rubenstein