5 Limitations of high- and medium-level functions

Note that Function netcellfun, Function netarrayfun, and Single remote function evaluation, but even Function parcellfun and Function pararrayfun, execute code in separate Octave processes. This causes some limitations.

For the function handles passed as arguments to Function parcellfun, Function pararrayfun, Function netcellfun, Function netarrayfun, and Single remote function evaluation, the following limitations may apply:

Anonymous functions should be usable as usual, since the function specification sent to the server will include the anonymous functions context.

If Function parcellfun or Function pararrayfun (and of course the cluster-related functions, too) are called from within a function with subfunctions, the subfunctions won’t be visible in parallel execution.

There is no way to set global variables for the function called by parcellun or pararrayfun. For cluster execution, setting global variables is possible, e.g. with Distribute Octave variables; however, netcellfun and netarrayfun won’t ’see’ global variables if they use parcellfun internally (which is the default at remote machines with more than one available processor core).