Surely you have heard of grid computing, and projects like SETI that sought to search for alien life using hardware resources from a multitude of equipment that were not wasted. To do this, it was enough to install software on your system to be able to contribute to those projects. That's what it's about Rosetta @ home, and it is compatible with GNU / Linux.
In this case, it is not about looking for life in the universe, but about contributing to research. against the SARS-CoV-2 coronavirus. If you want to do your bit, you don't need to have knowledge of anything, you don't need to be a scientist for it. Just lend some resources from your PC to be used in the search for a solution for this pandemic through the summation of all the numerous computers linked through Rosetta @ home, forming a large distributed supercomputer with great capacities ...
Rosetta @ home is a distributed computing project belonging to the Baker laboratory of the University of Washington, and which runs on the open source platform Berkeley Open Infrastructure for Network Computing (BOINC) that was originally developed for the aforementioned SETI @ home alien search project.
Requirements to join Rosetta @ home
In order to help with this Rosetta @ home project, you just have to have a team with a few requirements quite essential:
- PC or Raspberry Pi
- With GNU / Linux, FreeBSD, macOS, or 64-bit Windows operating system.
- Hardware with a CPU of at least 500 Mhz, 200 MB of free disk space and 512 MB of RAM.
- Internet connection.
How to start participating?
To start participating with Rosetta @ home, what you have to do is follow these easy steps:
- Register at Rosetta @ home for an account.
- Install the necessary packages (boinc-client, boinctui, and boinc-manager), for the Rosetta @ home platform daemon, the interface to select the project and make settings, and the GUI if you want to use the graphical environment respectively.
- Launch BOINC Manager and select the Rosetta @ home project from all the available ones.
- Enter your credentials when requested and follow the steps ... You will see that the interface is quite simple.
Remember that you can stop to collaborate whenever you want, and it does not imply that resources will always be subtracted from you. They will only use memory and CPU time to get computing power when you decide ...
More information about the project - BOINC