Our SoylentNews' Folding@Home team shows little sign of slowing down. We've now passed 400th place and barring any surprises, we might pass #300 just before the year's end. UC Berkley (387 at time of writing) is one of the next big names on our overtake list, and by the time this story goes live, we may have already passed them.
In case you aren't familiar with folding@home, it's a distributed computing project that simulates protein folding in an attempt to better understand diseases such as Alzheimer's and Huntington's and thereby help to find a cure. To that end, SoylentNews' team has — as of a query at 2016-10-07 02:10:00 (UTC) — completed just shy of 21,000 work units!
If you'd like to contribute to our team by donating some spare CPU/GPU cycles, you can get started at Stanford's Folding at Home web site. There are clients available for Linux, Windows, and OSX. Once you have installed the software, enter the TeamID 230319 to join us.
Feel free to "/join #folding" on our IRC channel if you need any help, or just want to chat.
Again, thanks to all that have participated, especially our Top 10 folders:
Related Links:
http://folding.stanford.edu
http://fah-web.stanford.edu/cgi-bin/main.py?qtype=teampage&teamnum=230319
(Score: 2) by Runaway1956 on Monday October 10 2016, @02:51AM
Sweet, man. That confirms what I thought, except I thought it was the 1080. The 10 series is that much faster than the 9 series, which CMN is running. And, of course, I'm running a 780 TI with water cooling. Your stats, my stats, and CMN's stats are pretty much a direct comparison of three generations of GTX video cards. If anyone should ask us what the difference is between the cards, we can point at our numbers for F@H.
As for CPU's - my server blower has gone out, and it was getting warm. I shut down the CPU client, running 12 cores on 2 CPU's. You don't see much of a difference in my daily average. A little over 20,000 points, sometimes as high as 25,000. The GPU is the workhorse here.
Abortion is the number one killed of children in the United States.
(Score: 1) by malloc_free on Tuesday October 11 2016, @04:25AM
Actually I would love to see some AMD vs Nvidia figures. My understanding is that Nvidia devices use Cuda and AMD use OpenCL. I have been told (by someone far more knowledgeable than I) that Cuda is a lot closer to the metal than OpenCL, and *should* yield better performance.
By the way, sounds like a pretty nice server you have there. I am very jealous.