[Wrf-users] WRF efficiency on different architectures

[Jan Harlaß]

Hi Saji,

you could have a look at the benchmark results for WRF:
http://www.mmm.ucar.edu/wrf/WG2/bench/Bench_V3_20081028.htm

Or a WRF benchmark especially for SGI (since I use this kind of machine):
http://www.sgi.com/products/servers/ice/8400/benchmarks/wrf.html

Basically you have to look at the compiler settings and, as Guillermo mentioned, think about the architecture of your machine. There is no straight answer for this.

Regards,

	Jan


Am 22.03.2012 um 01:47 schrieb Saji Hameed:

Setting aside the efficiency factor introduced by compilers, you would
have to consider the impact of interconnecting
devices.  In my case, I use relatively slow processors (1.7 GHz)
interconnected by fast network (InfiniBand).  Each node in
my system is a 4 socket AMD supermicro server with each socket having
a12core AMD Magnycours at 1.7GHz.  Each node
is interconnected through InfiniBand.  I have four such nodes and they
seem to giving quite good scaleup.  I do not have
the numbers right now, but I could post it later if there is interest.

saji

On Tue, Mar 20, 2012 at 9:59 PM, Guillermo Fernández
<guillermo.fernandez at meteogalicia.es> wrote:
> Hello all,
> 
> I'm looking for information about WRF efficiency on different
> architectures (AMD, Intel, p-series,...). Any information is welcome.
> 
> Regards
> 
> Guillermo
> 
> --
> MeteoGalicia
>     Guillermo Fernández García
>     Dpto. Predición Numérica e Investigación Rúa Roma, 6
>     15.707 Santiago de Compostela
>     Tel: +34 981 957 462
>     Fax: +34 981 957 466
>     guillermo.fernandez at meteogalicia.es
>     www.meteogalicia.es
> 
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-- 

Saji N Hameed,
ARC-ENV, Center for Advanced Information Science and Technology,
University of Aizu, Tsuruga, Ikki-machi,
Aizuwakamatsu-shi, Fukushima 965-8580,
Japan

Tel: +81242 37-2736
Fax:+81242 37-2760
 email: saji at u-aizu.ac.jp
 url: http://www.u-aizu.ac.jp
 bib: http://www.researcherid.com/rid/B-9188-2009
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Jan Harlaß
FB1, FE Maritime Meteorologie, PhD-Student
Helmholtz-Zentrum für Ozeanforschung Kiel (GEOMAR)
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Alte Botanik Raum 61
24105 Kiel, Germany
------------------------------------------------------------
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jharlass at geomar.de
www.geomar.de/~jharlass
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