<div dir="ltr">I have compiled the pointers from Pavan, Rajeev, and Jeff into an overview of MPI workloads (attached). <div><br></div><div>Any comments or corrections are welcome.</div><div><br></div><div style>--Jiri</div>
<div class="gmail_extra"><br><br><div class="gmail_quote">On Sat, Jul 6, 2013 at 1:38 AM, Rajeev Thakur <span dir="ltr"><<a href="mailto:thakur@mcs.anl.gov" target="_blank">thakur@mcs.anl.gov</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">
See also the Mantevo mini-apps. <a href="http://www.mantevo.org/" target="_blank">http://www.mantevo.org/</a><br>
<div class="HOEnZb"><div class="h5"><br>
<br>
On Jul 5, 2013, at 11:22 AM, Pavan Balaji wrote:<br>
<br>
><br>
> On 07/05/2013 10:38 AM, Jiri Simsa wrote:<br>
>> Could anyone point me in the direction of programs that are<br>
>> representative of MPI programs? I am looking for something like PARSEC<br>
>> (<a href="http://parsec.cs.princeton.edu/" target="_blank">http://parsec.cs.princeton.edu/</a>) for MPI. In other words, I am<br>
>> interested in macro-bechnmarks not micro-benchmarks. Thank you.<br>
><br>
> You could try the Sequoia suite. There's also the NAS parallel benchmarks and Graph500 benchmarks.<br>
><br>
> -- Pavan<br>
><br>
> --<br>
> Pavan Balaji<br>
> <a href="http://www.mcs.anl.gov/~balaji" target="_blank">http://www.mcs.anl.gov/~balaji</a><br>
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