I had success with the latter method. Although, it seems the hardware you
have is a bit overkill (I did 3m~ edge graph with 16GB RAM laptop with
enough RAM to spare). I'm not sure if it's possible to utilize
multithreading for this, but if not those threads you have won't help much.
Still hoping to get an answer about multithreading from someone more
knowledgeable

On Wed, Feb 26, 2020 at 10:35 AM James Ruffle <[email protected]> wrote:

> Dear community,
>
> I have been following this thread as have a similar predicament - trying
> to run the nested block model on a graph of 1mil nodes and 12 mil edges.
> Since I have read of the computational cost from others, I have got access
> to a server with 500Gb RAM with ~120 CPU threads.
> Based upon this graph complexity and your prior experience, which approach
> you would aim for:
>
> 1) minimize_nested_blockmodel_dl(g)
>
> or
>
> 2) prime an empty object and MCMC equilibrate with multi-flip:
> bs = [np.zeros(1)]*6
> state=NestedBlockState(g=g,bs=bs,sampling=True)
> gt.mcmc_equilibrate(state,multiflip=True)
>
> Am very grateful for the guidance…!
> (I wonder how long this will take to run…??)
>
> James
>
> > On 24 Feb 2020, at 18:40, Tiago de Paula Peixoto <[email protected]>
> wrote:
> >
> > Am 24.02.20 um 19:32 schrieb Davide Cittaro:
> >> In the thread linked (
> https://eur01.safelinks.protection.outlook.com/?url=http%3A%2F%2Fmain-discussion-list-for-the-graph-tool-project.982480.n3.nabble.com%2FSBM-on-Dense-Graphs-td4027902.html%23a4027907&amp;data=02%7C01%7C%7C3b3a0d8d77904e2eb56e08d7b9591fc8%7C569df091b01340e386eebd9cb9e25814%7C0%7C0%7C637181664763877491&amp;sdata=0dTsu3ywNL1WL7FZrvc%2BHg1lEZXEjAaM2hkUMTq640k%3D&amp;reserved=0)
> is written
> >>
> >> (Remember to replace mcmc_sweep() with multiflip_mcmc_sweep() in the
> code
> >> above. I had forgotten to make this change the last release...)
> >>
> >> Does this mean that one should also set "multiflip=True" in
> mcmc_equilbrate?
> >
> > Yes.
> >
> > --
> > Tiago de Paula Peixoto <[email protected]>
> > _______________________________________________
> > graph-tool mailing list
> > [email protected]
> >
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