Create a pool of MAPDL instances

PyMAPDL contains the MapdlLocalPool class to simplify creating multiple local instances of the Mapdl class for batch processing. This can be used for the batch processing of a set of input files, convergence analysis, or other batch related processes.

This code creates a pool:

>>> from ansys.mapdl.core import LocalMapdlPool
>>> pool = LocalMapdlPool(10)
'MAPDL Pool with 10 active instances'

You can supply additional keyword arguments when creating the pool. This code creates several instances with one CPU each running at the current directory within their own isolated directories:

>>> import os
>>> my_path = os.getcmd()
>>> pool = LocalMapdlPool(10, nproc=1, run_location=my_path)
Creating Pool: 100%|########| 10/10 [00:01<00:00,  1.43it/s]

You can access each individual MAPDL instance with this code:

>>> pool[0]
<ansys.mapdl.core.mapdl.MapdlGrpc object at 0x7f66270cc8d0>

Note that this is a self-healing pool. If an instance of MAPDL dies during a batch process, that instance is automatically restarted. You can turn off this behavior by setting restart_failed=False when creating the pool.

Run a set of input files

You can use the pool to run a set of pre-generated input files using the run_batch method. For example, this code would run the first set of 20 verification files:

>>> from ansys.mapdl.core import examples
>>> files = [examples.vmfiles["vm%d" % i] for i in range(1, 21)]
>>> outputs = pool.run_batch(files)
>>> len(outputs)
20

Run a user function

You can use the pool to run a custom user function on each MAPDL instance over a set of inputs. As in the example for the run_batch function, the following code uses a set of verification files. However, it implements it as a function and outputs the final routine instead of the text output from MAPDL.

completed_indices = []


def func(mapdl, input_file, index):
    # input_file, index = args
    mapdl.clear()
    output = mapdl.input(input_file)
    completed_indices.append(index)
    return mapdl.parameters.routine


inputs = [(examples.vmfiles["vm%d" % i], i) for i in range(1, 10)]
output = pool.map(func, inputs, progress_bar=True, wait=True)
[
    "Begin level",
    "Begin level",
    "Begin level",
    "Begin level",
    "Begin level",
    "Begin level",
    "Begin level",
    "Begin level",
    "Begin level",
]

API description

For a comprehensive description, see Local MAPDL pool.