Is multiflip_mcmc_sweep() able to be done in parallel now or in the future
(CPU or GPU)?

On Thu, Feb 27, 2020 at 8:01 AM Tiago de Paula Peixoto <[email protected]>
wrote:

> Am 27.02.20 um 10:19 schrieb Felix Victor Münch:
> > For the first version I needed 400-500GB RAM, so that wouldn't be
> > overkill. The threads however seem pretty much useless, indeed.
>
> 500 GB for a network with 3M edges seems absurd. You should be able to
> do it with an order of magnitude less memory, at least.
>
> > Hoiweveriwever, as the latter version seems so much more memory
> > efficient, I am wondering why it's not implemented as the default in
> > form of a function call with the same prominence in the documentation.
> > Would love to hear Tiago or anyone else chime in on this. What's the
> > advantage of the boiler-plate minimize_nested_blockmodel? Is there any
> > except less lines of code?
>
> The algorithms are not the same, and incur different trade-offs.
>
> The one in minimize_nested_blockmodel_dl() attempts to bracket the model
> complexity with a one-dimensional bisection search, and requires more
> memory because it needs to keep several copies of the global state
> during the search.
>
> On the other hand, multiflip_mcmc_sweep() implements merge-split moves,
> and keeps only a single state around, hence the improved memory usage.
>
> Although it depends on the network, minimize_nested_blockmodel_dl()
> tends to find better estimates of the ground state (i.e. solutions with
> smallest description length) in a shorter time, for a cost of higher
> memory usage.
>
> The next version of the library will include an improved version of
> multiflip_mcmc_sweep() that I am preparing, and this alternative will
> gain prominence in the documentation.
>
> Best,
> Tiago
>
> --
> Tiago de Paula Peixoto <[email protected]>
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