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#12 |
"Ed Hall"
Dec 2009
Adirondack Mtns
22·1,151 Posts |
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Thank you! This helps a bunch. I had started out using the values from the tune.c info, but I strayed into doubling values and such as I moved up to larger composites, instead of going back to the listed values. I will probably want to address 105+ and, therefore 3LP eventually, but for now I need to let this settle. I still need to add even more machines to the mix and see what happens.
The rels/sec is definitely going to be important. The two 4 thread machines are widely different and the processing shows it when they are both given the same -siqsR. Would it be far off to consider the ratio between CPUs at one size to be similar to another size composite? |
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#13 |
"Ben"
Feb 2007
7×11×47 Posts |
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#14 |
"Ed Hall"
Dec 2009
Adirondack Mtns
22×1,151 Posts |
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I was able to calculate a pretty good balance for the original 4 machines and brought the execution time from the above 11:58 down to 8:18. I then was able to do the calculations to add five more machines and brought the time down to 6:52.
But, I'm definitely going to have to find a better way to do these balance calculations if I decide to make this a bigger set of machines and work with different sized composites. Thanks for all the help! |
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#15 |
"Ed Hall"
Dec 2009
Adirondack Mtns
22×1,151 Posts |
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Just to add a comparison, I ran the 90 and 100 digit composites with CADO-NFS on the exact same machines and the composites were factored in 2:25 and 6:20, respectively.
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#16 | |
"Ed Hall"
Dec 2009
Adirondack Mtns
22·1,151 Posts |
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How hard would it be for me to learn what it takes to do this? Would it always take manual intervention? Would there be a gain over CADO-NFS/Msieve? A totally different question: My understanding is that sieving for S/GNFS is too memory intensive for efficient GPU use? Would SIQS be any more capable of being performed by GPU? |
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#17 | |
"Ben"
Feb 2007
7×11×47 Posts |
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SIQS is also pretty memory intensive at sizes that are interesting. Maybe it would be easier than NFS but that's not saying much. |
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