Parallel Computing with Python on a Raspberry Pi Cluster || OpenMPI and mpi4py install
Today we are making a mini supercomputer! Not really, but sort-of, we are building a 4-node raspberry pi cluster. On this cluster we will be installing a package called OpenMPI which is a Message Passing Interface (MPI) critical for Parallel Computing. An MPI allows a complicated problem to be split into different processes and computed on separate processors, perhaps even on different nodes of a cluster.
In this tutorial, we will go through how to install OpenMPI, Python packages from source, and how we can use OpenMPI with Python using a module called mpi4py. This will enable us to use all nodes on our cluster to approximate pi ~3.14… We will be following three tutorials from Garrett Mills on Medium for installation on SLURM and enabling parallel computing using openMPI.
Building a raspberry pi cluster (Garrett Mills, 2018): / building-a-raspberry-pi-cluster
★ A data driven path to getting a job in Quant Finance
https://www.quantpykit.com/
★ QuantPy GitHub
Collection of resources used on QuantPy YouTube channel. https://github.com/thequantpy
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