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Tuesday, June 18, 2013
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Comments
by: Anonymous on 9/26/2010
"dual" ---> DOUBLE precision FFS!!!


@John: You guys are screwed! :)
Fail? Good? Bad? by: Theo Valich on 9/22/2010
Don't feed the troll. Case closed.

Ed.

P.S. On BSN*, freedom of expression is guaranteed and there are no account lockdowns if you post something that the editor or author don't like. Unless swearing is used, of course.
No one's posting? Pity by: Anonymous on 9/22/2010
Too bad, my credibility's much higher than yours now because I personally believe that the good Intel will win against the evil nvidia.

Fudo failed and so will you.

CD
Great news for GPU computing ecosystem! by: Anonymous on 9/22/2010
At AccelerEyes, we are happy that MathWorks has finally turned the corner on accepting GPU technology, something we've been pushing them to do since 2007.

We are also excited, because this is great news for the GPU computing ecosystem, to see one of the technical computing giants validate the approach we've been delivering with Jacket.

Finally, we are thrilled, because we are confident that anyone attempting to use GPU computing via MATLAB directly will end up becoming a Jacket programmer (for instance, try indexing into a matrix or running a convolution with R2010b). To see how Jacket stacks up against the alternative, see:

* http://www.accelereyes.com/products/compare

and

* http://forums.accelereyes.com/forums/viewtopic.php?f=7&t=1487

Jacket will always offer the best in GPU computing technology. Without Jacket's runtime technology, no MATLAB GPU computing attempt will be able to come close to competing in performance benefits on real applications. It is one thing to get a few functions to run on the GPU. But getting full applications to run fast on the GPU is an entirely different matter.

We invite you to check it out for yourself by visiting, http://www.accelereyes.com

Enjoy!

John Melonakos
CEO
AccelerEyes
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