It is possible to programm Apps in a way as to enable parallel computing of suitable tasks in MoveApps. The MoveApps nodes contain 8 cores each that can be used. Beware that this might possibly lead to waiting times in running other Workflows.
For R Apps we suggest usage of the package "future" with the option 'cluster': future::plan("cluster"). Note that the option 'multisession' does not work in Docker containers (see more), and therefore is not an option for MoveApps Apps. For more details of how to go for parallel computing in R Apps, look at this testing App of Bruno Caneco, a most helpful collaborator: https://github.com/dmpstats/moveapps-check-parallel.
For Python Apps we suggest usage of the library "multiprocessing". For more details of how to go for parallel computing in Python Apps, look at this testing App: https://github.com/IrisDB/Test-Parallel-Python.