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SETI MB CUDA for Linux
lordvader:
--- Quote from: sunu on 02 Sep 2009, 06:32:23 am ---After a small hiatus I'm back :)
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@riofl and lordvader about kernel versions
Have you compiled these kernels yourselves or have you got them from elsewhere? Maybe some performance/optimization options you left out? Do you have any nvidia related errors in your syslog when running cuda? Any other observations with these newer kernels?
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Hi !
About the kernel versions. I compiled the 2.6.30 kernel using the same config used in Ubunutu's 2.6.28 kernel. I used the same config on the 2.6.27 kernel, which currently gives me equivalent CUDA performance, as well as stable Astropulse results.
I've been using the latest nvidia drivers, and the latest CUDA library (oh ! and my CPU is a Phenom II 955, not overclocked, and I'm running 64bit Kubuntu).
An interesting observation. While crunching CUDA units (using the fast kernels), my GPU heats up quite a bit, as expected. On the slow kernel, it barely goes above idle, so it's definitely being under-utilised.
I've yet to try kernel 2.6.29, and probably won't have time to test it until sometime next week.
Any more info you may need ?
sunu:
--- Quote from: lordvader on 02 Sep 2009, 10:38:37 pm ---About the kernel versions. I compiled the 2.6.30 kernel using the same config used in Ubunutu's 2.6.28 kernel. I used the same config on the 2.6.27 kernel, which currently gives me equivalent CUDA performance, as well as stable Astropulse results.
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So let me get this straight:
2.6.27: custom compiled, fast
2.6.28: stock, fast
2.6.30: custom compiled, slow
All three supposedly with the same pre-compile config. Am I right?
In http://kernel.ubuntu.com/~kernel-ppa/mainline/ there are pre-compiled mainline kernels along with build options from Ubuntu's kernel team ready for install. Have you tried those?
lordvader:
That's right, same config for all of them.
I've downloaded the precompiled kernels, but won't get a chance to try them till the end of the weekend, at the earliest.
riofl:
credit granted is the same for a given workunit whether it is processed by cpu or gpu correct?
my thinking is that since the vhar are short, only taking my gpu about 12 min to process what would be the harm in assigning all vhar to gpu to speed up things? unless they would be granted more credit being done by the slower cpu then i will go back to assigning them to cpu.
sunu:
--- Quote from: riofl on 03 Sep 2009, 09:34:44 am ---credit granted is the same for a given workunit whether it is processed by cpu or gpu correct?
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Yes.
--- Quote from: riofl on 03 Sep 2009, 09:34:44 am ---my thinking is that since the vhar are short, only taking my gpu about 12 min to process what would be the harm in assigning all vhar to gpu to speed up things?
--- End quote ---
Some people say that CPU is more efficient for VHARs than GPU but can't see their reasoning.
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