Software Architecture¶
The pygcam.mcs
framework is implemented using ipyparallel (“ipython parallel”), which
provides the infrastructure to allow communication among a distributed set of python interpreters.
As implemented in pygcam.mcs
, a cluster is started for a desired number of worker processes
(“engines” in ipyparallel parlance) and a master process that is typically run on a login node
so you can track runtime activity easily.
The pygcam.mcs
package provides several additional sub-commands to the gcamtool
(gt)
script, described in detail on the Sub-commands for Monte Carlo Simulation page. Here, we describe the commands
related to setting up, running, and monitoring a Monte Carlo simulation.