Folding@Home Team DMS

Science
#1

I just started Folding@Home recently and I want to put a team together for the Dallas Makerspace. Folding@Home is a Stanford University project where you donate your spare computer processing power to help scientists calculate protein folding in order to cure diseases. The client utilizes your CPU and GPU, you can select how much processing you want to devote (like bitcoin mining, it will cost you the electricity), there’s even an android app. If someone has a spare server, maybe we can run it at DMS.

The team number is 230072

You can generate a passkey to claim your contributions here: http://fah-web.stanford.edu/cgi-bin/getpasskey.py

5 Likes
#2

Anything that isn’t a direct benefit to DMS members and uses up our bandwidth I’m not sure is a good idea.

1 Like
#3

It wouldn’t use up the bandwidth, just computing power. You can run it on your own personal computers at home (thus folding@home). I just am creating a team for the Dallas Makerspace so we can come together to help researchers cure diseases, and it’s good use of scientific computing.

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#4

If it runs on a server at DMS, how do the computers communicate without using bandwidth?

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#5

They communicate with the Standford servers. There’s probably some bandwidth but it’s not like streaming video or anything. I’m not saying we have to run a server at the space, I would just like people that are interested to join the Dallas Makerspace team to get points.

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#6

Thanks for setting this up, @themitch22. I’ve got it installed on a spare machine that I use for testing. It sits idle most of the time. Glad to have a productive use for it. #CancerSucks

As I understand this project, the client downloads a work unit from the server, works on it until it is complete, and then uploads the results back to the server. Very little network usage.

3 Likes
#7

Valid concern! F@H doesn’t use much bandwidth at all. I’m more concerned about the power used and heat generated doing the work. Of course, feel free to install it on your personal machines, but I don’t think we need to be installing it on DMS computers/servers.

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#8

If it isn’t using the bandwidth then that addresses my concerns - thanks for educating me. I am not IT savvy.

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#9

Just a reminder about our Folding@Home Team Dallas Makerspace. I just passed Trent on the list (of course he has multiple computers way above my capability). We currently have 4 people Folding and I’d like to get us on the top of the rankings.

Join our Team #230072

Here’s the current stats:
http://fah-web.stanford.edu/cgi-bin/main.py?qtype=teampage&teamnum=230072

If you aren’t sure what Folding@Home is go here: http://folding.stanford.edu/

You can download the client for free and run it on your computer. It uses your unused CPU/GPU processing power for scientific research.

#10

bumping this thread.

I want to get more interest for new members that are interested in contributing to Folding@Home.

Dallas Makerspace Team #230072

1 Like
#11

A noble undertaking to be sure. Understanding protein folding often leads to understanding the mechanisms by which a protein functions. Understanding these mechanisms lead to advances in medicinal and material sciences.

#12

i’ve folded on and off for years. F@H has been around for 17 years.

i remember back in the day people use to gang PS3’s together for crazy folding farms

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#13

I joined up with the cloud servers I don’t trust anymore

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#14

Bumping this post because @Dawsmart and I have been getting back into our point battle. I know you nerds have crazy powerful PC’s to help us out.

Dallas Makerspace Team #230072

https://stats.foldingathome.org/team/230072

2 Likes
#15

Yeah!

12345

1 Like
#16

Think we also have a seti@home team as well.

But those that have docker clusters, feel free to run a bunch of boinc instances:

https://hub.docker.com/r/laurentmalvert/docker-boinc/

I know I’ll be throwing up an instance or two on heroku

1 Like