[Beowulf] What class of PDEs/numerical schemes suitable for GPU clusters

[John Hearns]

2008/11/21 Franz Marini <franz.marini at mi.infn.it>

> H
> Regarding the proprietary-ness of CUDA, I would argue that being
> proprietary also means that it probably better targets the NV GPU
> architecture, and a more general, portable solution, like OpenCL (which
> seems to be closer than expected, by the way) will possibly mean a
> somewhat less optimal use of the GPU. M


Guys, I'm going to be controversial here.
The market may  SAY otherwise, but the market does not give a rat's behind
about proprietariness.
Tell a scientist that her N-body dynamics astrophysics model will run 500
times faster on a certain GPU and
she'll get more papers published and an invite to a conference in Hawaii
next year and you'll see those
grant dollars being spent.
Tell and engineer that his Nastran model or his CFD simulation will finish
whilst he goes off to lunch/coffee and he'll
bite your hand off.

It all comes down to codes - when the ISV codes use these things, you'll see
the uptake.
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