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post #491 of 1527
Quote:
Originally Posted by Krusher33 View Post

The tables has turned with a slight twist. OpenCL is open sourced whereas CUDA is not if I'm not mistaken.
OpenCL is an open standard. wink.gif
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post #492 of 1527
I'd rather it still use cuda for cuda cable cards since it'll give the best performance.

I mean, they were already using cuda to great effect, why "fix" what's not broken? kookoo.gif
post #493 of 1527
Quote:
Originally Posted by PR-Imagery View Post

I'd rather it still use cuda for cuda cable cards since it'll give the best performance.

I mean, they were already using cuda to great effect, why "fix" what's not broken? kookoo.gif

Because not everyone has cuda, meaning they are missing out on a lot of performance from amd users. 7970s on core17 are now faster than 580/680s on cuda developed cores. I don't see how they did anything wrong or crazy.
     
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post #494 of 1527
^Because with OpenCL, they can potentially support AMD, nVidia, Intel, and several other manufacturers well, with a single, simpler core? It's not FaH's fault that nVidia's OpenCL implementation has issues.

Hopefully, the recent increase in OpenCL support will lead to better SDKs, toolkits, and documentation for it, and the eventual abandonment of CUDA altogether.
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post #495 of 1527
Quote:
Originally Posted by Gungnir View Post

^Because with OpenCL, they can potentially support AMD, nVidia, Intel, and several other manufacturers well, with a single, simpler core? It's not FaH's fault that nVidia's OpenCL implementation has issues.

Hopefully, the recent increase in OpenCL support will lead to better SDKs, toolkits, and documentation for it, and the eventual abandonment of CUDA altogether.

When pigs fly and it snows in hell?
   
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post #496 of 1527
Quote:
Originally Posted by scubadiver59 View Post

When pigs fly and it snows in hell?

Well, we can dream.
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post #497 of 1527
Well the 1/2 loss of SMP throughput will be a real downer on all my NVIIDA folding rigs. Perhaps Nvidia will come up with a better OpenCL implementation. Hopefully they know that folding ppd can sway consumers to one GPU maker or another.

With core17 using OpenCL, and Intel Core GPUs fully capable of good openCL execution, I'm curious about the ability to fold on Intel HD graphics as well as dedicated GPUs.
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post #498 of 1527
Quote:
Originally Posted by PR-Imagery View Post

I'd rather it still use cuda for cuda cable cards since it'll give the best performance.

I mean, they were already using cuda to great effect, why "fix" what's not broken? kookoo.gif

Like others above have said, it's simpler for the team. Here's a quote from the Folding@home Blog post about Core17:
Quote:
A single unified core now runs both NVIDIA and AMD cards
Before we had two development branches for NVIDIA and AMD cards. It was a difficult and cumbersome task to debug and maintain. We couldn’t easily mix runs and gens produced by different GPU types. Now, using OpenCL, a single core supports not only AMD and NVIDIA, but theoretically any OpenCL-capable device.
post #499 of 1527
Quote:
Originally Posted by scubadiver59 View Post

When pigs fly and it snows in hell?

Those that actually use cuda (universities, research centers, etc) don't exactly go out of their way for it. Nvidia has done a smart thing in "giving" cuda enabled products to these very large and well known establishments. It only makes sense to use cuda since the free stuff you just got uses it much better than opengl.

Its actually kind of interesting from that respect. Makes you wonder if nvidia handicaps opengl on purpose.
     
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post #500 of 1527
On a HD7950 OC @ 1050/1750MHz I get ~ 45k PPD, usually I get 7662 project.

This is awesome for AMD , also these cards have pretty decent power usage, and on my DC2 model GPU goes up 54C max in very hot room.

When I remember my GTX480 powerhog and its temps @ 90C area, turbine noise rolleyes.gif


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