To start with processes, add and make available the Distributed package with add Distributed, and using Distributed.
Julia can be started as a REPL or as a separate application with a number of workers, n, available. The following command starts n processes on the local machine (this command includes the Distributed package automatically):
// code in Chapter 8\parallel.jl julia -p n # starts REPL with n workers
These workers are different processes, not threads, so they do not share memory.
To get the most out of a machine, set n equal to the number of processor cores. For example, when n is 8, you have, in fact, nine workers: one for the REPL shell itself, and eight others that are ready to do parallel tasks. Every worker ...
