parallel

Configurable parallel und distributed processing settings

Multiprocessing settings

PyCAM v0.4 started to support parallel and distributed processing. This basically means that the calculation of toolpaths will use all available CPU cores of your machine automatically. Additionally you can also use some commandline arguments to connect to remote worker servers. This leverages your local CPU resources to process even huge models with the help of remote PyCAM servers in a timely manner. With the new upcoming release v0.4.1, PyCAM will also allow you to configure these network connections via the preferences dialog of the GUI. Read more »

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