subfolder with mpi4py about ultranest HOT 2 CLOSED

What are you trying to achieve? Can you describe your underlying problem in more detail?

from ultranest.

If you want to analyse independent data sets, I usually pass the data file name as an argument to the script (receive in python with sys.argv[1]), and write to a logdir named after the data file (logdir=sys.argv[1] + '_out_fitmodelA').

Running parallel fits is then easy with ls data*|xargs --max-args=1 --max-procs=4 python3 myscript.py. It also makes it possible to write make scripts to resume computations (automatic variables / stems and parallelisation with -j4 are powerful). doit is a python alternative. Alternatively, you can also create new processes from within python, without using MPI.

resume='subfolder' creates a new folder for each run started. Runs share CPU power to distribute the load of finding a new independent point, but the run is coordinated by the processor with MPI rank 0. In other words, the run is not independent in the various CPUs.

from ultranest.