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<p class="MsoNormal"><span style="font-size:11.0pt">Hi,<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt">I’m trying to run an TraceR OTF simulation with lots of messages and lots of congestion. This is the first time that I’ve had a big enough simulation that I need to run it in parallel, and I’m having a really
hard time getting any sort of parallel speedup. I tried running on 4-8 nodes with –sync=2 and –sync=3, as well as various values of --nkp, and the best I’ve gotten is only a few percent faster than serial. I looked into it some, and found that the cause appears
to be massive load imbalance. I’m attaching a screenshot from hpctraceviewer that shows that rank 0 does almost all the work while the other ranks spend a large amount of time in MPI_Allreduce, waiting for rank 0 to arrive. I don’t know this part of ROSS/CODES
very well, but does this mean the LPs are not being distributed evenly? If so, how can I change the distribution?<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt">It wouldn’t surprise me if my traffic pattern caused some load imbalance because there are 4 endpoints that receive way more traffic than the others, but I don’t think the imbalance should be this bad.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt">Thank you very much,<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt">Philip Taffet<o:p></o:p></span></p>
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