This is my first stab at a FAQ. It is far from complete. When done, I recommend that this replace the first post in this thread. Or we can start a new thread. Whatever.
Thread Title: Want to help scientific research? (CFI Distributed Computing Teams)
Distributed computing is when many computers work together to complete a very large calculation. It is an alternative to using large super computers. Scientists use distributed computing for many worthy scientific and humanitarian tasks, such as hunting for gravitational waves, running climate models, or searching for cures for cancer. By simply downloading a program and having it run when your computer is idle, you can participate in such projects. After setting up the program, it downloads and uploads the data automatically. Make sure to go to preferences and set them to what you are comfortable with (CPU usage, network usage, etc).
Center for Inquiry teams have been created on most distributed computing projects. By joining a team the entire group can get credit, and promote the organization.
BOINC:
Initially designed for SETI@Home, it has since expanded and runs many other science projects.
- A list of projects can be found here and here.
It can be downloaded for Windows, Mac, or Linux.
- To join a CFI team, left click the project icon and go to the project’s website. While there, log in and go to your account. Under community, go to team and search for the “Center for Inquiry” team and join it.
- Many projects use nVidia or ATI GPUs to speed up calculations.
World Community Grid.
It focuses on humanitarian and medical projects.
- This can be run through BOINC (see above), or through a standalone platform.
- List of WCG projects
- It is available for Mac, Windows and Linux.
Folding@Home
This program runs one project, and it focuses on simulating protein folding.
- Available for Windows, Mac and Linux, and PS3
- To join the CFI team, go to the control panel of the program and input the CFI team code: 173631
- PS3 installing FAQ
- PS3 will complete tasks much faster than regular computers