Hi Spencer, hi Douglas,

Indeed, using Collections (auto => SumFac) definitively helps: Total Computation Time = 95s (180s before)

I noticed that the code runs single threaded, even though Boost_USE_MULTITHREADED is ON and OpenBlas is compiled as multi threaded. Any hints on that?

Cheers,
Helmut

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Von: Sherwin, Spencer J [s.sherwin@imperial.ac.uk]
Gesendet: Mittwoch, 18. Mai 2016 10:25
An: Kühnelt Helmut
Cc: nektar-users
Betreff: Re: [Nektar-users] EulerCFE - performance issue & MPI problem

HI Helmut,

I am building with Release mode and nothing else in particular. I happen to have MPI turned on but I do not think that will make a difference.

One thing that might be worth checking is the use of openblas. I have had trouble with openblas in the past for small matrix sizes. The compilation I used will have been using the default installation in /usr/lib/libblas.a. I guess Douglas’ test will have used the Framework of Mac OS X.  However looking at the set up on the compute module I do seem to have openblas loaded 

(@Chris: Could you confirm what version of openblas is running on Victoria 

Other configurations are:

library

gcc             4.9.2

boost         1.58 - installed from a module

Do you have another machine/laptop we could turn this test on? 

Cheers,

Spencer.

PS I had a time step of 1e-6 and attach my .xml file below