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Re: Folding@home wild claim

Do GPU's have flops or integers?
Know the capabilities of your GPU.
The numerical capabilities are encoded in the compute capability number of your GPU. Devices of compute capability 2.0 and later are capable of single and double precision arithmetic following the IEEE 754 standard, and have hardware units for performing fused multiply-add in both single and double precision.

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Luvfishin
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Re: Folding@home wild claim

Can you run folding at home and WCG simultaneously?
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julemand101
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Re: Folding@home wild claim

@Luvfishin Yes, you can set Folding@Home to only use your GPU (also possible to only take some CPU cores) and run it simultaneously with WCG. I have not noticed any performance impact as long as I have 1 CPU core freely available on the system.
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KLiK
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Re: Folding@home wild claim

That is nice, but F@h does not have (as far as I know) GPU & CPU temp monitoring, which is essential in the "long run" if you want to do calcs. All my past here & on SETi@home (with GPUs, where I'm top contributor from Croatia) gives me some knowledge about it & credibility to speak about it.

I have fried several GPUs with not monitoring temps. Imagine the loss of the GPUs in this time of shortage of computer parts? So NO, I'm not going to F@h by far.

Sticking up to BOINC related projects. cool


KLiK,

Not sure what you mean as neither BOINC nor any of the BOINC projects have CPU or GPU temp monitoring. You have to use external software (Hwinfo, in my case) for that.

That's right...but as for my use Tthrottle has shown to be remarkable about limiting my temps & saving my CPUs & GPUs...
Especially when I went to SSDs, so that boot up is so quick that it overheats the CPU totally. & I use Xeons on my machines, to be on the safe side.

Folding@home (as far as I know), has no extra program to limit the workload. So expecting GPUs & CPU to fry out within a month.
& with supply chains sparse, don't know when those machines will be up again.
cool
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KLiK
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Re: Folding@home wild claim

Do GPU's have flops or integers?
Know the capabilities of your GPU.
The numerical capabilities are encoded in the compute capability number of your GPU. Devices of compute capability 2.0 and later are capable of single and double precision arithmetic following the IEEE 754 standard, and have hardware units for performing fused multiply-add in both single and double precision.

FLOPS

check data here about the cards:
https://www.techpowerup.com/gpu-specs/
wink
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Former Member
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Re: Folding@home wild claim

Folding@home (as far as I know), has no extra program to limit the workload. So expecting GPUs & CPU to fry out within a month.


If that was the case, then F@H will close up shop within a month as everyone will have fried their CPUs and GPUs. Honestly, this statement has no basis in fact.

You can manage the resources with the slot definitions. You don't have to use your entire machine for F@H. Even if you did, domain decomposition tends to drop the number of cores used so you don't use all the resources anyway.
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RicktheBrick
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Re: Folding@home wild claim

It only takes 12 days to go over a million seconds. So they are now at a trillion trillion flops every 12 days. Every 4 months will be 10 trillion trillion flops.
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KLiK
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Re: Folding@home wild claim

Folding@home (as far as I know), has no extra program to limit the workload. So expecting GPUs & CPU to fry out within a month.


If that was the case, then F@H will close up shop within a month as everyone will have fried their CPUs and GPUs. Honestly, this statement has no basis in fact.

You can manage the resources with the slot definitions. You don't have to use your entire machine for F@H. Even if you did, domain decomposition tends to drop the number of cores used so you don't use all the resources anyway.

Well, as stated before, my initial crunching with GPUs on SETi@home got me fried several GPUs...maybe that's enough of the proof that GPUs die out with crunching.

& we all know that F@h doesn't have some automatic tool to protect the GPU.

compared to BOINC, which has tools like HWmonitoring or Tthrottle. cool
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