[yt-users] PhasePlot give inconsistent results with different core count and fieldc

[Britton Smith]

Hi Geoffrey,

The operation to combine profile and phase plot data after running in
parallel was missing, so what you were seeing was the results from only one
of the processors.  I have just filed a pull request to fix this.  Now, I
get the same results independent of processor number.  Please. have a look
at the PR here<https://bitbucket.org/yt_analysis/yt/pull-request/782/adding-parallel-support-to-profilend/diff>
and
test it out if you can.

Britton


On Mon, Mar 31, 2014 at 2:14 PM, Matthew Turk <matthewturk at gmail.com> wrote:

> Hi Geoffrey,
>
> Britton and I verified you are correct, there is a problem with the
> ProfileND objects not conducting their parallel reduction operation.
> A fix is forthcoming.
>
> -Matt
>
> On Mon, Mar 31, 2014 at 5:31 AM, Geoffrey So <gsiisg at gmail.com> wrote:
> > The following script gives me different results in the 2d phase plot
> when I
> > use multiple cores and switch the fieldc parameter.  The results are
> > consistent if I only use a single core.  Some of the plots produced seems
> > like it is missing data points or under-sampled, so I'm guessing maybe
> not
> > all the data from all the cores were collected at the end.
> >
> > From
> > G.S.
> >
> >
> #-----------------------------------------------------------------------------------
> > from yt.mods import *
> >
> > i=2
> > file = "RD%04i" % i
> > fn = file+"/"+file
> > pf=load(fn)
> > dd=pf.h.all_data()
> >
> > fieldx='Density'
> > fieldy='Temperature'
> > fieldc='CellVolumeCode'
> > #fieldc='CellVolume'
> > #fieldc='CellMassMsun'
> > #fieldc='CellMass'
> > #fieldc='Ones'
> >
> > pplot = PhasePlot(dd, fieldx, fieldy, [fieldc],weight_field=None)
> > pplot.save('example/'+file)
> >
> #---------------------------------------------------------------------------------------
> >
> >
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