<div dir="ltr">James<div><br></div><div>Also, what constraints are calculated by LazEv?</div><div><br></div><div>-erik</div></div><div class="gmail_extra"><br><div class="gmail_quote">On Mon, Jul 27, 2015 at 4:56 PM, Erik Schnetter <span dir="ltr"><<a href="mailto:schnetter@cct.lsu.edu" target="_blank">schnetter@cct.lsu.edu</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div dir="ltr">Jim<div><br></div><div>Thanks for posting the details.</div><div><br></div><div>Can you give us more details about the LazEv scheme? In particular there may be differences in the gauge. What (gauge) variables do you evolve? What gauge conditions do you use? And what kind of dissipation do you apply? Can you point us to the source code?</div><div><br></div><div>For the new McLachlan, you would probably use the built-in dissipation instead of thorn Dissipation, which should lead to a small speed-up.</div><div><br></div><div>-erik</div></div><div class="gmail_extra"><br><div class="gmail_quote"><span class="">On Mon, Jul 27, 2015 at 4:43 PM, James Healy <span dir="ltr"><<a href="mailto:jchsma@rit.edu" target="_blank">jchsma@rit.edu</a>></span> wrote:<br></span><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><span class="">Hello,<br>
<br>
I have been running some tests on Stampede comparing the run speed of McLachlan to RIT's evolution thorn LazEv. I started with the qc0-mclachlan.par parameter file included with the Einstein Toolkit, added a few refinement levels, increased the resolution and changed McLachlan to be 8th order (and increased the number of ghost zones to 5). I also increased the initial separation so the finest grids aren't already overlapping. To compare with LazEv, I removed the McLachlan and Dissipation thorns and replaced them with LazEv. Everything else in the parameter file is exactly the same. I tried using both the McLachlan master and rewrite branches.<br>
<br>
The grid setup is 10 levels of refinement, dx=4M on the coarsest with outer boundary at 400M, M/128 on the finest with r=0.6M, CFL is 0.25. Both use 8th order spatial differencing with ghost_size=5 and 5th order dissipation.<br>
<br>
Below is a summary of the results as reported at iteration 256 from Carpet::physical_time_per_hour:<br>
<br>
McLachlan - rewrite branch: 3.0596110 M/hr<br>
McLachlan - master branch: 3.8033607 M/hr<br>
LazEv - 4.1941544 M/hr<br>
<br>
I am using the stampede-impi.cfg configuration file in simfactory. "module list" returns:<br>
<br>
1) TACC-paths 3) cluster-paths 5) xalt/0.4.6 7) TACC<br></span>
2) Linux 4) intel/<a href="http://13.0.2.146" rel="noreferrer" target="_blank">13.0.2.146</a> 6) cluster 8) impi/<a href="http://4.1.0.030" rel="noreferrer" target="_blank">4.1.0.030</a><div><div class="h5"><br>
<br>
Attached is my parameter file. I pasted the McLachlan parameters below. Are there any optimizations that I can use for McLachlan? Are the parameters I am using for it what would be used for production runs?<br>
<br>
ML_BSSN::harmonicN = 1 # 1+log<br>
ML_BSSN::harmonicF = 2.0 # 1+log<br>
ML_BSSN::ShiftGammaCoeff = 0.75<br>
ML_BSSN::BetaDriver = 1.0<br>
ML_BSSN::LapseAdvectionCoeff = 1.0<br>
ML_BSSN::ShiftAdvectionCoeff = 1.0<br>
<br>
ML_BSSN::MinimumLapse = 1.0e-8<br>
<br>
ML_BSSN::my_initial_boundary_condition = "extrapolate-gammas"<br>
ML_BSSN::my_rhs_boundary_condition = "NewRad"<br>
Boundary::radpower = 2<br>
<br>
ML_BSSN::ML_log_confac_bound = "none"<br>
ML_BSSN::ML_metric_bound = "none"<br>
ML_BSSN::ML_Gamma_bound = "none"<br>
ML_BSSN::ML_trace_curv_bound = "none"<br>
ML_BSSN::ML_curv_bound = "none"<br>
ML_BSSN::ML_lapse_bound = "none"<br>
ML_BSSN::ML_dtlapse_bound = "none"<br>
ML_BSSN::ML_shift_bound = "none"<br>
ML_BSSN::ML_dtshift_bound = "none"<br>
<br>
ML_BSSN::fdOrder = 8<br>
<br>
ActiveThorns = "Dissipation"<br>
<br>
Dissipation::order = 5<br>
Dissipation::vars = "<br>
ML_BSSN::ML_metric<br>
ML_BSSN::ML_trace_curv<br>
ML_BSSN::ML_curv<br>
ML_BSSN::ML_Gamma<br>
ML_BSSN::ML_lapse<br>
ML_BSSN::ML_shift<br>
ML_BSSN::ML_dtlapse<br>
ML_BSSN::ML_dtshift<br>
"<br>
<br>
ActiveThorns = "ML_ADMConstraints"<br>
<br>
<br>
Thanks,<br>
Jim Healy<br>
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<br></blockquote></div><span class="HOEnZb"><font color="#888888"><br><br clear="all"><div><br></div>-- <br><div>Erik Schnetter <<a href="mailto:schnetter@cct.lsu.edu" target="_blank">schnetter@cct.lsu.edu</a>><br><a href="http://www.perimeterinstitute.ca/personal/eschnetter/" target="_blank">http://www.perimeterinstitute.ca/personal/eschnetter/</a></div>
</font></span></div>
</blockquote></div><br><br clear="all"><div><br></div>-- <br><div class="gmail_signature">Erik Schnetter <<a href="mailto:schnetter@cct.lsu.edu" target="_blank">schnetter@cct.lsu.edu</a>><br><a href="http://www.perimeterinstitute.ca/personal/eschnetter/" target="_blank">http://www.perimeterinstitute.ca/personal/eschnetter/</a></div>
</div>