Raspberry Pi Zero Cluster Case
DESCRIPTION
So, you were lucky enough to get your hands on 8 Raspberry Pi Zeros. What to do? Well, you could make 8 robots. Or, for a little more than the cost of a single 4-core 1gb Raspi Model 2B, you could make an 8-core 4gb Supercomputer! We'll be recreating the first picture, only on a smaller scale, in the second picture!
You don't need to be a computer scientist to be able to learn today's technology, but will will be, if you stay curious enough.
Caveat: This is a work in progress, so expect changes as I get further along. You can also follow along on Thingiverse at http://www.thingiverse.com/thing:1350845
and Hackaday at https://hackaday.io/project/9576-8-leaf-pi-zero-b...
My Hackaday entry is more of a log than anything else, if you would like to see some of my rants.
And please don't forget to add a vote for my entry in the Raspberry Pi or Digital Life 101 Contest!
2 More Images
There are many types of cluster designs, from a impromptu series of connections to some really beautiful geometric shapes. I've always been partial to the last image, only much MUCH smaller.
This is how I wanted to end up. So, I took measurements of my Zero, laid out what I thought would be the least complex with regard to hardware and wound up with many iterations till I came up with the pictures you see now.
I used Google Sketchup for the whole design process.
Once I had a design I liked for the CPUs, I then moved on to building a case. I stuck with the slidey-railey thingy, and once again, Sketchup to the rescue...
By the way, I designed the back to allow for development of a combination backplane/Power-connecting unit.
I'm lucky enough to have gotten a 3D Printer for Christmas. At the same time, I had heard that a new $5 computer was out from RaspberryPi.org. having always been fascinated with clustering, I KNEW there was no way my wife could argue against finally building a cluster. 5 bones a node, plus networking!
Hook up power and networking and you are on your way to uber-geek status!
Here, you build a single node and then make copies to put into each node.
On another computer use the usual method from RaspberryPi.org to acquire an image like Jessie or Jessie Lite and move the image to a lower sized SD card.
Once it's on the card and you've run through raspi-config, allowing SSH and allocating 16mb to the GPU, expand the image to the whole card. NOTE: If the head CPU is to have a larger card, just expand the filesystem again as a last step in this whole process: for instance, I specifically purchased 4 SD cards at 16gb and a single 32gb card. the 32 gb is for the Head.
using an existing Pi (I have an older Model B with the same CPU, not like the 2B), download all the latest software updates and then do the following:
apt-get install mpich2
This is the clustering software.
next setup your networking (this will vary depending on the network interface) for static IPs
Make sure /etc/hosts has the machine name and IP of every node.
Make sure the Pi you use for the Head is serving a unique subnet to the nodes in order to keep outsiders from easily seeing the nodes. If you have a fast network, it's okay to use it, just know how to distinguish between nodes.
Create a user that will be the Cluster user.
Setup the latest SSH.
generate the necessary keys.
Once you have everything set generically, shutdown the CPU you built with, take the SD card out and copy the image of it. I used Linux:
dd if=/dev/sdd of=/[base location]/[image name].iso
When pushing the image to another card, just swap the if and of values and add a block setting:
dd if=/[base location]/[image name].iso of=/dev/sdd bs=4096
Once you have a node ready, hook up the network and power and let it go!
Now, if you did all your nodes at once, there could be many packet collisions, because we haven't made the nuanced changes yet.
you have to change the IP and hostname, and then generate the ssh-keys
At this point you should be able to reboot all the systems and they should report their own information. use the code in the picture to test. This should report for each node plus the head.