[Mono-list] SciMark2 benchmark in F#

[Rodrigo Cuevas]

More benchmark Mono 2.0 vs Java 6 Server

http://shootout.alioth.debian.org/u64q/benchmark.php?test=all&lang=csharp&lang2=java

Regards.

Rodrigo Cuevas.

Alan McGovern escribió:
> Just for comparison, the java scores as from 
> http://math.nist.gov/scimark2/run.html :
>
> FFT: 206 MFLOPS
> SOR: 511.8 MFLOPS
> MonteCarlo: 57.2 MFLOPS
> Sparse: 287.3 MFLOPS
> LU 395.4 MFLOPS
> Composite: 291.7 MFLOPS
>
> Alan.
>
> On Tue, Jan 20, 2009 at 10:05 PM, Alan McGovern 
> <alan.mcgovern at gmail.com <mailto:alan.mcgovern at gmail.com>> wrote:
>
>     Hi,
>
>     Here are the results of running that assembly on several
>     platforms/clrs on an original Macbook, 1.86ghz core2duo. The tests
>     were executed in native windows and native opensuse. I didn't
>     bother with native macos.
>
>     *MS.NET <http://MS.NET>*
>     FFT (1024): 245.115 MFLOPS
>     SOR (100): 469.531 MFLOPS
>     MonteCarlo (1024): 92.4046 MFLOPS
>     Sparse (1000): 298.298 MFLOPS
>     LU arrays (100): 547.227 MFLOPS
>     Composite: 330.515165 MFLOPS
>     *
>     Mono r123727, essentially mono 2.2 (opensuse 11.1)*
>     FFT (1024): 137.558 MFLOPS
>     SOR (100): 254.216 MFLOPS
>     MonteCarlo (1024): 73.4233 MFLOPS
>     Sparse (1000): 213.333 MFLOPS
>     LU arrays (100): 265.113 MFLOPS
>     Composite: 188.728742 MFLOPS
>
>     *Mono 2.0 (Windows)*
>     FFT (1024): 85.3681 MFLOPS
>     SOR (100): 236.843 MFLOPS
>     MonteCarlo (1024): 13.4164 MFLOPS
>     Sparse (1000): 219.993 MFLOPS
>     LU arrays (100): 192.3 MFLOPS
>     Composite: 149.584219 MFLOPS
>     *
>     Mono 2.0 (opensuse 11.1)*
>     FFT (1024): 78.063 MFLOPS
>     SOR (100): 293.207 MFLOPS
>     MonteCarlo (1024): 15.5201 MFLOPS
>     Sparse (1000): 148.81 MFLOPS
>     LU arrays (100): 290.62 MFLOPS
>     Composite: 165.243985 MFLOPS
>
>     A quick overview tells us that with the old JIT was 2x-6x slower
>     than MS.NET <http://MS.NET> and with the new jit performance goes
>     from 0.25x-2x slower. The test that used to be 6x slower is now
>     only 0.25x slower. Things have improved greatly since you
>     originally ran your benchmark so it's definitely not accurate to
>     call mono 3x slower than MS.NET <http://MS.NET> anymore. 1.5x
>     slower would be a nice median.
>
>     Taking a slightly more detailed view tells us a few more
>     interesting things. Compare mono 2.0 (windows) to mono 2.0
>     (opensuse). The exact same version of mono ranges between 1.5x
>     faster on linux (LU arrays) to 1.5x slower on linux (SPARSE). What
>     this tells us is that there appears to be differences in the
>     platform itself which make a difference performance-wise.
>
>     It'd be great if someone could compare mono 2.2 (or higher) on
>     windows with MS.NET <http://MS.NET> and see what the performance
>     delta is when running on the same platform. So yes, this tells us
>     that there is still room for improvement with mono, but it's not
>     as huge as was originally stated.
>
>     Alan.
>
>
>     On Tue, Jan 20, 2009 at 5:50 PM, Jon Harrop <jon at ffconsultancy.com
>     <mailto:jon at ffconsultancy.com>> wrote:
>
>
>         I ported the famous SciMark2 benchmark suite:
>
>          http://math.nist.gov/scimark2/
>
>         from Java to F# and put it up here:
>
>          http://www.ffconsultancy.com/tmp/SciMark2.zip
>
>         Mono 2.0 runs this code ~3x slower than .NET does and, in
>         particular, the
>         integer benchmark ("Monte Carlo") is over 6x slower on Mono.
>
>         Regards,
>         --
>         Dr Jon Harrop, Flying Frog Consultancy Ltd.
>         http://www.ffconsultancy.com/?e
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>
>
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