Segmentation Fault error when running in cluster

[dalbabur]

I'm trying to run many models in parallel for data fitting in a cluster (Hyak) using ipyparallel. However, I keep running into cryptic segmentation fault errors when loading model binaries in the remote nodes. No errors when loading a new SBML.

Checking the logs, the main difference I see between loading a new SBML and loadState is that:

1. the log doesn’t contain any of the “Selection Record” and “Created default TimeCourse selection” traces
2. “NamedArrayObject_alloc” spits “finalizing object self: 0x14ef79d84570; args 0x55a907b77d00” which is what must be throwing the Segmentation Fault!

[luciansmith]

Thank you for the report!

Do you have a script you could upload? Don't worry about it being too complicated; we can pare it down when testing. If something in it is proprietary, we'll try to recreate it on our own, but it'd be nice to have something to start from.

[dalbabur]

this is the minimal code that throws the error:

def load_sbml(model_file):
    import tellurium as te  
    r = te.loadSBMLModel(modelfile)
    r.simulate(0,10,100)
    return

def load_binary(model_file):
    import tellurium as te  
    r = te.roadrunner.ExtendedRoadRunner()
    r.loadState(model_file)
    r.simulate(0,10,100)
    return

import ipyparallel as ipp
# setup cluster and view
lbview.apply_sync(load_sbml('model.sbml')) # this works
lbview.apply_sync(load_binary('model.b')) # this does not work