Folding at home guides
Tushon
I'm scared, CoachAlexandria, VA Icrontian
Trying to gauge interest in what people would want to read/use.
Currently, F@H is beta-ing v7 client, which allows you to manage CPU/SMP and GPU folding from one interface, and rather automatically. There are some bugs they are still working out, but it is mostly solid.
There is folding bigadv (on Windows and linux is fairly similar, but linux ends up with a decent gain in PPD) that I have successfully setup (on Ubuntu) and will have monitoring done shortly.
I have been tossing around ideas for guides, but if people want a specific one (v7 howto vs bigadv), I'd work on that one first. Stuff has settled down some for me so I have some time to work it. Let me know if you have ideas/preference or what would get YOU folding.
Currently, F@H is beta-ing v7 client, which allows you to manage CPU/SMP and GPU folding from one interface, and rather automatically. There are some bugs they are still working out, but it is mostly solid.
There is folding bigadv (on Windows and linux is fairly similar, but linux ends up with a decent gain in PPD) that I have successfully setup (on Ubuntu) and will have monitoring done shortly.
I have been tossing around ideas for guides, but if people want a specific one (v7 howto vs bigadv), I'd work on that one first. Stuff has settled down some for me so I have some time to work it. Let me know if you have ideas/preference or what would get YOU folding.
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Comments
Instead of multiple clients there is what they call slots. These slots can be configured to use different User ID's, Team ID's, or Passkey's. Adding a custom value for a slot will override the default global values set for the client.
I'm currently folding with the V7 Client configured so that bigadv points goto one team and the GPU points goto another. I'm using the same passkey for both Team's, so I didn't have a need in changing the global passkey by adding a passkey value for either slot configuration.
I've even made a remote connection and controlled a V7 Client on another machine. However for some reason after the last V7 Client update was unable to make this connection. At this point though, I'm not convinced the problem wasn't myself.
I think these guides for the V7 Client would be very useful.
FahMon install
Possibly a short linux file sharing guide for remote monitoring.
Issues with remote viewing a windows PC and GPU3 issues.
The trade offs from banking on SMP/Bigadv v. GPU.
Soon, it will be 16 threads. I think it's 8 now?
The move to 16 threads saved me a hundred bucks. I bought a 2500k last week instead of a 2600k when I realized I wouldn't be able to do BIGADV
Correct
Wasn't there a reference to 12gb ram minimum that I remember from someplace?
No, I believe the new "recommended" spec is .5GB/thread, so minimum of 8GB for the new stuff in March.
Tushon is that pee on your car?
Write the guide or the tire gets it.
It is a shame that you can't fold with CF enabled and that the CPU usage is much higher than nvidia folding, but they can still put out a lot of ppd.
Is the even/odd reference based on half the cores? Or does SMP run a thread across two cores (is that even possible)?
I don't know the details. Adding 2x5870s to folding greatly increased my PPD, vastly more than enough to overcome dropping 2 threads from the SMP client.
RE: even/odd
I think it has to do with how folding divides up the work. The client restricts you to an even number of threads - I read somewhere else that the problem is with prime numbers of threads...but who knows. Just use an even number
They can be, but they are still nowhere near the efficiency and ease of use as Nvidia at this point in time. Almost negligible CPU usage + vastly less interference with other GPU usage if set to idle (i.e. watching videos/playing games ... only get noticeable stutters if set to low rather than idle or watching/playing 1080p high content) vs BSOD/driver crash when watching videos if folding before video started, having to set environment variables to get better performance, and using an entire core to feed itself (as of the last time I used AMD). I agree that you can get a big PPD increase by comparing two cores of your six core folding SMP vs two 5870s but the "management" cost is much higher. The dual card problem afflicts SLI as well :/
The even numbers thing is applicable to v7 client, but not to v6. In v6, many people use on i7s to fold bigadv and the last core to run GPU/other stuff. The v7 client does not accept odd numbers at all, and will round down. In your case, it was doubly beneficial because you needed two cores for GPU usage.
GPUs did better when quad or more was not a "default" on decent machines. For dedicated folding, bigadv is the way to go. See my response here (that response is assuming 24x7 dedicated folding for the numbers I cite).
I had no problems watching 1080p streamed content while gpu folding. Only problem I had was when I forgot to stop gpu folding before toggling crossfire for gaming.
I'm not trying to argue that folding with nvidia isn't better - just trying to make it clear that folding on amd is pretty painless (and quite productive).