"Parallel Computing Environment with ZMQ on the Raspberry Pi cluster" than the 7 year old article "Parallel Mathematica Environment on the RaspberryPi using OOP." will yield more software-stable results.

Regarding your question 1), it may be applicable to the latest Raspberry Pi, 2) If you adopt the latest Raspberry Pi 5 or 4, you need to keep in mind the power supply capacity and network speed, 3) As for the main application/coding, it depends on the user's situation. However, before building a cluster, I would like to recommend to try "Parallel computing and Object Oriented Programming Part 1~3" would be helpful.

Hello Takano-san,

The article you referred to is too old and may not be valid for parallel systems. The newer article "Parallel Computing and Object-Oriented Programming - Parts 1-3" may be better.

This parallel system is based on a local network using USB gadgets and Ethernet. If each raspberryPi is configured in a headless style, a local network is realized with each raspberryPi and a Mac, Linux, Windows or other PC.

A parallel system is built in two steps. First, a single 4-core raspberryPi is prepared. In this step, a parallel system with OOP applied can be realized.

The second step will be a clustering system, composed of two sub-steps. The first sub-step is to combine multiple raspberryPi. Each raspberryPis combined with ZMQ can pass messages from one raspberryPi to another. The second step is to configure a raspberryPi cluster using the OOP'd Mathematica code.

With the above steps, a parallel system can be built. Unfortunately, I don't have a raspberryPi 5 yet, so I can't look into the ZMQ for newest one.

A cluster consisting of raspberryPi 5 and 4 combined with OOP-ized Mathematica would yield interesting results.

The answers to the questions are 1) Are there any limitations? ->Not really. 2) Are there any considerations for building a modern system? -> Not sure if ZMQ will work with 5. 3) Do you know of any major "applications/coding" of this OOP Mathematica? -> I think it will be useful for modeling natural and social phenomena.

Hi, friend,

I could not know yours type of Raspberry Pi, however, I tried with my Raspberry Pi Zero W applying to the old my articles. Then I found the new Mac OS version, Ventura, doesn`t support USB OTG now, and a connection with Raspberry Pi Zero W to Mac should be through WiFi.

I suppose you have already realized the connections your RaspberryPi as a server to other RaspberryPis using SSH, which is the first step. As I shown previously, next step is that selecting a mehtod from, using nc command or a ZMQ method. In last year, I tryed a nc command method, but this method was tricky and tedeous, and decided to using ZMQ method may be better.

Next step 1 may be as follows. Using two of ZMQ installed RaspberryPi, you shoud try to connect with each two Wolfram programs. Step 2 may be, Using a RaspberryPi, you should be familiar to OOP to realize concurrent calculations.

I hope you will success.

Hi Rod,

As shown in my article "Parallel computing environment with ZMQ on the Raspberry Pi cluster", a methd with ZMQ running on "Raspberry Pi Zeo 2 W" will be a better choice for multiple node calculation.

I configured remote kernels by typing commands.

I did this by loading << SubKernelsRemoteKernels, then creating a configuration for each remote computer in the form

x = RemoteMachine[hostname, launchcommand]

now I 'd like to test new instructions by using a Mac as the master computer and a Raspberry Pi as a slave.
Thanks
http://driverrestore.com/update-drivers-windows-10-upgrade/

Great, I was always wondering how to set this up, thanks for sharing! Could you edit your post and add photos of your setup and Raspberry Pis? It would be very nice to see!

Hello,

I'm running Mathematica 11 on a cluster of 4 Raspberry Pi 3s. The Mathematica documentation says that I can configure all the remote kernels through the menu option Evaluate->Parallel Kernel Configuration. That menu option simply isn't there for me. I do have Evaluate->Kernel Configuration Options. That lets me set up remote kernels, but they do not appear as a response to $ConfiguredKernels. From various I can see what Parallel Kernel Configuration looks like - many tabs full of options, which I don't have available. Also I can't find a "Preferences" option and therefore no "Preferences -> Parallel -> Remote Kernels".

I'm clearly missing something.

Thanks, but that doesn't square with two "facts on the ground": 1. First, Wolfram Documentation (http://reference.wolfram.com/language/ParallelTools/tutorial/ConnectionMethods.html) strongly suggests that Lightweight Grid Technology is an option, but not a requirement, for setting up a grid. 2. I can't reproduce the behavior (or I wouldn't have posted a query at all), but at some point I got a parallels option menu embedded in a notebook that looked like what one is supposed to get through the menu bar. It evidently generated the following in the file ~/.WolframEngineApplicationData/Parallel/Preferences/Preferences.m:

            {Parallel`Palette`paletteConfig["enabledImplementations"] ->
              {"SubKernels`LocalKernels`", "SubKernels`RemoteKernels`"},
             Parallel`Palette`paletteConfig["Remote Kernels"] ->
              {SubKernels`RemoteKernels`RemoteMachine["RPi1", "ssh -x -f -l `3` `1` \
            wolfram -wstp -linkmode Connect `4` -linkname '`2`' -subkernel -noinit", 4,
                True, False, {}]}, "Version" -> 3.01}

where RPi1 is the first 'slave' machine (I was running from RPi0). So whenever I start Mathematica and ask for configured kernels, it always lists RPi1, but not RPi2 or RPi3, which are listed under Evaluation->Kernel Configuration Options.

I did not manually add that line to Preferences.m, and am still trying to figure out how it got there.

Though your replies are concerning to the parallel kernel configurations and documentations, my project environment ONLY needs standard Mathematica and "nc" and shell. Key feature of this project is Mathematica OOP.

Yes, as you replied, all parallel setting may be configured in the Mathematica menu of Kernel configuration... and Parallel Kernel configuration... . So, standard Mathematica allows local and remote kernels in total number defined in the license, but that situation is not one I intended.