[Oisf-users] CUDA Licensing Grunts... (a little off-topic)

[Robert Vineyard]

There's also OpenCL, which is supposed to be a vendor-agnostic GPGPU
development kit, but it hasn't achieved the same success as Nvidia's
(currently) proprietary CUDA yet:

https://secure.wikimedia.org/wikipedia/en/wiki/OpenCL
http://www.khronos.org/opencl/
http://www.nvidia.com/object/cuda_opencl_new.html
http://www.amd.com/streamopencl

Here's to hoping this type of thing will eventually take off... although
CUDA already has quite a head start.

--
Robert Vineyard, CISSP, RHCE
Senior Information Security Engineer
Georgia Tech Office of Information Technology
404.385.6900 (office/cell) / 404.894.9548 (fax)

On 4/20/2011 7:53 AM, Robert Vineyard wrote:
> Actually a friend of mine recently got hired by Nvidia to create just that -
> an open source implementation of the CUDA libraries - as an extension of his
> PhD thesis, assuming I've been correctly informed.
> 
> Hopefully Nvidia will see fit to foster further work on this and other projects:
> 
> http://dank.qemfd.net/dankwiki/index.php/CUDA
> http://dank.qemfd.net/dankwiki/index.php/CUBAR
> http://dank.qemfd.net/dankwiki/index.php/Libcudest
> http://dank.qemfd.net/dankwiki/images/d/d2/Cubar2010.pdf
> 
> There are also others working on such things:
> 
> https://github.com/pathscale/pscnv/wiki/nvidia_compute
> 
> --
> Robert Vineyard, CISSP, RHCE
> Senior Information Security Engineer
> Georgia Tech Office of Information Technology
> 404.385.6900 (office/cell) / 404.894.9548 (fax)
> 
> 
> On 4/19/2011 11:54 PM, Randal T. Rioux wrote:
>> I went to setup a server with a couple GeForce 9600GT cards in it (even
>> though they only support the 1.1 compute capabilities) to test the CUDA
>> aspects of Suricata.
>>
>> I like Arch Linux, so I wanted to use that for a change.
>>
>> It wasn't until I tried to install the CUDA toolkit that I realized it
>> is closed source. I'm not doing RPM mangling for Arch and would never
>> touch Ubuntu (I have my reasons), so this makes me sad. Sadder is that I
>> never noticed this before (always used RHEL or SL when CUDA dabbling).
>>
>> Does anyone know of an open-source challenger to the CUDA feature set /
>> general premise? Something not as vendor-specific (of course). I can
>> understand why NVidia doesn't want us to know how the sausage is made,
>> but it doesn't mean I have to eat it!
>>
>> Thanks,
>> Randy
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