Parallel computing is a way of dealing with data in a parallel way. This can be done by connecting multiple computers as a cluster and using their CPUs to carry out the computations.
This style of computation is used when handling large amounts of data and also while running complex algorithms over significantly large data. The computations are executed faster due to the availability of multiple CPUs running them in parallel as well as the direct availability of RAM to each of them.
Julia has in-built support for parallel computing and multiprocessing. So, these computations rarely require any external libraries for the task.
Julia can be started on your local computer using multiple cores of your CPU. So, we will now have multiple workers for the process. This is how you can fire up Julia in multi-processing mode in your terminal. This creates two worker process in the machine, which means it uses two CPU cores for the purpose...
