AffineInvariantMCMC.jl
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Parallel MCMC
I like how easy it is to sample in parallel with the emcee python package (just set the threads keyword to >1). Do you have any plans to implement this in a similar fashion?
The parallel also works. You just need to add processors (addproc ()).
On Thu, Apr 25, 2019 at 06:04 André Wählisch [email protected] wrote:
I like how easy it is to sample in parallel with the emcee python package (just set the threads keyword to >1). Do you have any plans to implement this in a similar fashion?
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-- -monty monty.gitlab.io
Thanks for developing this package, @montyvesselinov
I am also interested in running this in parallel. I was not able to use the addproc()
command. I did find the setprocs()
command in Mads
setprocs() but I'm unclear on whether
this requires loading the full Mads
package in addition to AffineInvariantMCMC.
I am interested in running this both on my multi-core laptop, as well as in a slurm environment with 28 processors per node.
Could you point me to documentation or examples which would show me how to do this?
Thanks in advance!
-Eric