You’re probably asking yourself if this is actually useful in real life, and I’d have to say that using Mathematica in this way, without a really nice (i.e., native Mac) front-end and with the slight slowness that the Raspberry Pi always has, leaves something to be desired. In := GraphicsGrid, ImageSize -> 700 ] Out = Assuming you’re running Ubuntu on your Pi already via one of the official Ubuntu images, to get things started you want to grab the latest wolfram-engine package from the Raspberry Foundation’s repository:

Installing Mathematica on Ubuntu 16.04 armhfĪs it turns out, everything was fairly easy to figure out. So the stage was set for another of my little challenges – figuring out how to get the Raspbian binaries to run on Ubuntu, and then how to get Mathematica to run parallel computations on my cluster. However, my cluster runs Ubuntu 16.04 (Xenial), and I’m not going to throw away vastly improved packages and a working setup to return to Raspbian (not to mention the work of having to reflash all the SD cards again). As it would happen, it does in fact allow me to have partial access to most of the new features (yeah, including the Pokémon database…), so that’s been fun.īut after playing with it for a while under Raspbian, I realized that it also supports remote Mathematica kernels (a feature I used infrequently, but with great results many years ago), so I started wondering if I could run it alongside Spark and Jupyter on my little home cluster, which sports 5 Pi2 boards and a total of 20 CPU cores. I’ve been a Mathematica fan on and off throughout the years, and this week’s announcement of version 11 made me a little wistful, so I felt the need to kick the tires a bit on my Raspberry Pi (which can run a free license of version 10.3). 5 min read How To Run Mathematica on a 20-core Raspberry Pi Cluster.

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