In this tutorial, we will show you how to use Neocortix Cloud Services Scalable Compute to run a distributed batch Python job, in a framework where you can easily substitute your own batch Python code.
First, please follow the steps in the tutorial Setting Up For Batch Jobs
After completion of the initial setup, you will have a directory with examples,
In the subdirectory
you will find the runBatchPython.py
This script creates a set of instances running on mobile devices, one instance for each frame to
be computed (10 in the default example provided).
startFrame = 1,
endFrame = 10,
It will command the instances to install some software, then command each
instance to run the simple example Python code supplied in file
, which will generate simple
plots, passing in a frame number to allow each instance to plot a specific frame.
workerScriptPath = 'plotFrame.py'
def frameCmd( self, frameNum ):
pythonFileName = os.path.basename( self.workerScriptPath )
cmd = 'python3 %s %d' % \
The output of each instance will be a .png file
containing a simple plot. These files will be sent back to the master host, and the master will then terminate the instances.