<div dir="ltr">Provided you have a good parallel sparse direct solve for a single SM, you could unleash 32 direct solves (or perhaps 16) which run concurrently on the K20x. One only needs to set an environment variable to use Hypre Q<div>
<br></div><div>I don't know of any good parallel sparse direct solver for small systems.<div><br></div><div>-Paul</div></div></div><div class="gmail_extra"><br><br><div class="gmail_quote">On Thu, Dec 12, 2013 at 4:29 PM, Dominic Meiser <span dir="ltr"><<a href="mailto:dmeiser@txcorp.com" target="_blank">dmeiser@txcorp.com</a>></span> wrote:<br>
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<div>Hi Karli,<div class="im"><br>
<br>
On 12/12/2013 02:50 PM, Karl Rupp wrote:<br>
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Hmm, this does not sound like something I would consider a good
fit for GPUs. With 16 MPI processes you have additional congestion
of the one or two GPUs per node, so you would have the rethink the
solution procedure as a whole.<br>
<br>
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Are you sure about that for Titan? Supposedly the K20X's can deal
with multiple MPI processes hitting a single GPU pretty well using
Hyper-Q. Paul has seen pretty good speed up with small GPU kernels
simply by over-subscribing each GPU with 4 MPI processes.<br>
<br>
See here:<br>
<a href="http://blogs.nvidia.com/blog/2012/08/23/unleash-legacy-mpi-codes-with-keplers-hyper-q/" target="_blank">http://blogs.nvidia.com/blog/2012/08/23/unleash-legacy-mpi-codes-with-keplers-hyper-q/</a><br>
<br>
<br>
Cheers,<br>
Dominic<span class="HOEnZb"><font color="#888888"><br>
<br>
<br>
<pre cols="72">--
Dominic Meiser
Tech-X Corporation
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<a href="http://www.txcorp.com" target="_blank">www.txcorp.com</a></pre>
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