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#1 | |
Dec 2009
Peine, Germany
14B16 Posts |
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Hello,
does anybody have experiences with the influence of PCI Express lane count to GPU Computing? Especially with regard to CUDALucas but mfaktc too. All I found is this: Quote:
I could simply try but I would like not to reinvent the wheel. I'd love to use the X4 slot for thermal reasons. My guess: CUDALucas is not very intensive regarding CPU to GPU transfers - mfaktc will use a bit more. Any concrete numbers would be brilliant. Thanks, Brain Last fiddled with by Brain on 2012-05-13 at 22:10 Reason: This thread should have been in the GPU section :-( |
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#2 |
"Oliver"
Mar 2005
Germany
5·223 Posts |
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For mfaktc you've to transfer approximately four bytes per FC (factor candidate). So when you're GPU is good for 250M FCs per second than you'll need 1GB/s of PCIe bandwidth. Ofcourse there is some overhead but I guess it is save to ignore the overhead.
Oliver |
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#3 | |
Dec 2009
Peine, Germany
1010010112 Posts |
![]() Quote:
http://en.wikipedia.org/wiki/PCI_Express Capacity Per lane (each direction):
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#4 |
Just call me Henry
"David"
Sep 2007
Liverpool (GMT/BST)
22·3·7·73 Posts |
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Makes me wonder what performance I would get if I put a pcie 2 card in my pcie1.1 slot. I discovered a while back that they work just at the slower speed.
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#5 |
Feb 2012
the Netherlands
3×52 Posts |
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I found that running mfaktc (GTX460) in PCI-E x1 mode made the performance about 1/2 of that in a PCI-e x16 slot.
Using the same card in x4 mode gave roughly the same performance as on x16. Last fiddled with by Stef42 on 2012-05-14 at 08:18 |
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#6 |
Romulan Interpreter
"name field"
Jun 2011
Thailand
24×643 Posts |
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For me no difference on x8/x16 (PCIe 2.0). Have no x4 cards/slots.
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#7 |
Just call me Henry
"David"
Sep 2007
Liverpool (GMT/BST)
10111111101002 Posts |
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My 1.1 x16 slot should theoretically run at the same speed as a 2.0 x8 slot. Sounds like I have more than enough bandwidth for a GTX460.
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