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I’ve been running some distributed computing activities since October and finally settled on Universe@Home and Asteroids@Home as the two projects that I wanted to contribute too. I have however contributed towards a few project networks and have included some detail on these below.
A note on COVID-19 distributed computing projects
Early days I was running Rosetta@Home and World Community Grid assisting with COVID research projects that were being run on those networks. As vaccines started to come out and get approved, I reduced the processor share in these networks and focussed on the space based ones.
Asteroids@home downtime
Around November 25th, the Asteroids@Home network went down due to hardware failures. Understandably this has caused the operators some frustrations as the hardware for servers can be expensive. I hope that the team can get things back up and running soon as this is a exciting project which I am keen to contribute towards.
My devices
Throughout the last few months i’ve tried a number of lower power devices. Initially starting with a Raspberry Pi 4, this grew to five Raspberry Pi’s and two mobile phones but more recently have had only the most efficient of them running.
- Raspberry Pi 4 – 4gb (4 core)
- Raspberry Pi 3 – 1gb (4 core) x4
- Samsung Galaxy S8 (8 Core)
- OnePlus One (4 core)
Each of these devices have run at different times but the Raspberry Pi 4 and Samsung Galaxy S8 seem to be the most effecient. The S8 doesnt even get hot which is great as no cooling is needed!
Universe@Home stats update
![Sam Osborne Universe@Home cumulative statistics on 2nd January 2021](https://equilater.al/wp-content/uploads/2021/01/UniverseHome-Cumulative-update.png)
You can see that there was a pretty slow start in processing. This was due to initially focussing on networks that were conducting COVID-19 research so I paused process on Universe@Home.
As time progresses however, from around 20th October 2020, I started allowing more processing power for Universe@Home and eventually began the climb on leader boards and as of today the majority of (97.6%) processing power has been given to Universe@Home.
![Pie chart showing total shared processing power given to each project contributed.](https://equilater.al/wp-content/uploads/2021/01/percentage-breakdown-of-projects.png)
Help from down-under
Whilst researching different devices and processors, with the intention of scaling up, I came across Marks RPi Cluster blog. Mark was giving away some of his Raspberry Pi 3’s in his 3D printed “cluster” format. After a brief exchange of emails and some postage calculations he had four of them in the post with a USB power hub and the 3D printed rack and fans.
![Image of Marks RPI Cluster with four RPI3's and the fans.](https://equilater.al/wp-content/uploads/2021/01/rpi-cluster.jpg)
These were added to Universe@Home network around 12th December. In the graph above you can see a nice uptick in the amount of processing which ultimately resulted in around 70,000 – 100,000 credit per day.
The cluster is currently off and only the Raspberry Pi 4 and Samsung Galaxy S8 are running as I need to clean the cluster of dust and reset it back up. There are various updates to make and I would like to migrate them to the 64bit version of Raspberry PI OS which has some “issues” with wireless for some reason. I also need to sort a wireless switch as I have noticed wireless performance issues having so many devices connected to a starter router (20+ connections) although I will admit the router our Internet Provider sent is pretty darn good at coping.
Project totals as of January 2nd 2021
![](https://equilater.al/wp-content/uploads/2021/01/image-2.png)
See the full stats from my efforts by visiting my profile on Free DC
Check out my other post on Setting up Rosetta@home on Raspberry Pi OS: 64-bit Kernal which is how I contributed to the COVID-19 research they were conducting.
Also just adding this link here for an experiment. Apparently Rishi is awesome.
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