<br><br><div><span class="gmail_quote">2006/9/14, Mark Abraham <<a href="mailto:Mark.Abraham@anu.edu.au">Mark.Abraham@anu.edu.au</a>>:</span><blockquote class="gmail_quote" style="border-left: 1px solid rgb(204, 204, 204); margin: 0pt 0pt 0pt 0.8ex; padding-left: 1ex;">
<br>Probably your interconnects between nodes are using carrier pigeons or<br>something :-) I expect that 1 cpu on machine A will require around four<br>times as long as 1 4-cpu node, which you can presumably test for yourself.
</blockquote><div><br>It is forbidden to run only one cpu on the cluster A in my inisititute.<br></div><br><blockquote class="gmail_quote" style="border-left: 1px solid rgb(204, 204, 204); margin: 0pt 0pt 0pt 0.8ex; padding-left: 1ex;">
For next time, if you want to compare hardware like this, either use the<br>same length of time or the same number of MD steps for all of your runs.<br>Also when reporting runtimes, make it clear whether you are reporting
<br>walltime or some time * number_of_cpus, etc. :-)</blockquote><div><br>For all the jobs (except the one on my local computer) , I set walltime=1hour, and nsteps= 200,000,dt=0.001.<br>The running time are taken from the end of the .log file. See the following example.
<br><br> NODE (s) Real (s) (%)<br> Time: 1581.000 1581.000 100.0<br> 26:21<br> (Mnbf/s) (GFlops) (ns/day) (hour/ns)<br>Performance:
56.376 4.515 10.930 2.196<br><br></div><br><blockquote class="gmail_quote" style="border-left: 1px solid rgb(204, 204, 204); margin: 0pt 0pt 0pt 0.8ex; padding-left: 1ex;">Mark<br>_______________________________________________
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</a><br></blockquote></div><br><br clear="all"><br>-- <br>Sincerely yours,<br>**********************************************<br>Baofu Qiao, PhD<br>Frankfurt Institute for Advanced Studies<br>Max-von-Laue-Str. 1<br>60438 Frankfurt am Main, Germany TEL:+49-69-7984-7529
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