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Put your Nvidia card to work for TPU!!!

johnspack

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But I only used the -gpu 0 and -gpu 1 switches. If I use -gpu 0 for my first card, all hell breaks loose. So I can only use -gpu 1 for my second card which works very nice. I know, weird as hell, but it is an athlon nforce system!
Oh and I'm getting almost 12k ppd at 80% cpu core usage, so looks like both cards are working!
 

johnspack

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C'mon nvidia owners! I'm not seeing many new entries into tpu team! When you go to bed at night your card can be folding. It's easy and is much lighter usage than games ect, won't hurt your card. Donate some gpu cycles!
 

johnspack

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Folding just got better on nvidia cards, cpu usage down to almost zero, increased ppd output, try the new 180.70 drivers (not the 180.60s!), on the front page: http://www.laptopvideo2go.com/
cpu will run close to idle! I'm getting 14k ppd now on main rig with cpu usage at almost 0%, another 5k+ on my 2nd rig. Fire those cards up ppl!
Easy instructions to set up video cards to fold: http://folding.stanford.edu/English/WinGPUGuide
 
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are there any folding programs for an ATI user? :)
 

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are there any folding programs for an ATI user? :)

Yes, download the GPU2 client. It works for Nvidia & ATI. Your 4850 will be throttled with the current core, but that should change next month with the larger proteins and newer core.
 
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Also if you have a PS3 get that folding as well. PS3 pwns F@H!
 

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Bump for a good cause and a great folding team.;)
 

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Bump guys! I know there's a lot of serious hardware out there going unused at night when it could be folding. Please be generous, it's easy, and it will save lives! Maybe your own someday. Please go here and download one of these gpu clients, the systray .msi one is the easiest to install, just run it, there's an icon, run it! http://folding.stanford.edu/English/DownloadWinOther give it a try, won't hurt I promise!
 

trickson

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OK I'm in ! Team 50711 this is correct right ?
 

johnspack

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Oh sorry, yes team 50711
It's in my sig!
 

johnspack

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Any questions about setting it up ect, please leave questions. Both me and Buck_nasty I'm sure will be more than happy to answer. We like our gpu clients, so single or multiple card folding is something we know about. Buck has exteme experience with multiple cards, I'm more single card, but can do multiples.... heheh
 

trickson

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Cool I am in . One thing will this save what ever work it is doing when I turn off the computer at night and then keep going when I turn it back on ? Will it work faster on SLI ?
 

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If you exit the client, yes, you can resume the job you are on later.
I do it all the time. Or if you need to game ect heheh!
 

trickson

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If you exit the client, yes, you can resume the job you are on later.
I do it all the time. Or if you need to game ect heheh!

So when gaming you should turn it off ? Even with my system spec's ? :laugh:
 

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You'll have to see, but the newest jobs are using quite a bit of shader power because they're quite complex, so gaming could become laggy. My gtx280 can run as hot as 80c on some, but it'll take it. So yes, if you want smooth gaming, just temp exit the client. Don't worry, it resumes right where it left off. I'm trying to show that this doesn't have to affect general enjoyment of your gaming rig, just use spare unused cycles, esp at night.
 

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OK cool so is it pause work or just quit ?
 

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trickson

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I like to pause work first, but now I use the console version and can only quit, and I have no problems. So quit or pause first, shouldn't matter.

OK then thank you very much . :rockout:
 

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Bump for a good cause. Your Nvidia Card might be the one that finds missing piece for the cure to a debilitating and life threatening disease. Please see OP. It's more than just a points race.:rockout:

From F@H blog:

Folding@home Alzheimer's Simulation work published

I am very happy to announce that a first key work (paper #58 at http://folding.stanford.edu/English/Papers) from the Folding@home project on Alzheimer's Disease (AD) was just published

Simulating oligomerization at experimental concentrations and long timescales: A Markov state model approach, by Nicholas W. Kelley, V. Vishal, Grant A. Krafft, and Vijay S. Pande. J. Chem. Phys. 129, 214707 (2008); DOI:10.1063/1.3010881

url: http://link.aip.org/link/?JCP/129/214707


Abeta misfolding and aggregation is believed to be the cause of Alzheimer's Disease. Simulations, like Folding@home, are a natural way to understand this process. However, there are several key challenges for simulating the key step -- oligomerization. This work represents a new way to simulate Abeta oligomerization, with a key advance of being able to simulate experimentally relevant timescales and concentrations, using a novel method. We use this new method and the power provided by Folding@home donors to simulate oligomerization in all-atom detail. This has lead to specific predictions about the process, which we are now testing experimentally.

In many ways, this paper is the "tip of the iceberg" for the Folding@home activities in AD, with a lot more interesting results to come, especially in terms of experimental tests of our predictions and interesting new possibilities for new drugs and AD therapeutics. So, while we're excited that this result is now past peer review, we're even more excited for what's coming down the pipeline, waiting peer review. We'll keep you posted as more results become public, hopefully with some even bigger announcements in 2009.

UPDATE:
It was asked which clients participated. This work started several years ago and took some time to analyze and then publish. So, it ran exclusively on classic clients. For the follow up simulations, we are using a mixture of GPU, SMP, and classic clients. Due to the large number of classic clients, they allow us to calculations not possible on the other platforms. However, the raw speed (but smaller number) of the GPU and SMP clients allow us to get a good rough idea quickly, refining later with classic clients.
 

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