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#1 |
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Aug 2020
2·3·19 Posts |
I know nearly null about the math, but I've read that like P-1 method, the ECM method needs higher bounds in to find larger factors but takes longer time to run. Does knowing the trial factoring limits provide benefit to the ECM bounds and/or the number of curves to try, like the case in P-1 method?
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#2 |
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6809 > 6502
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Aug 2003
101×103 Posts
978410 Posts |
If you know that no factor has been found and that there has been TF work done up to a certain size, yes. ECM can then be done looking for factors larger than the largest factor searched for via TF.
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#3 | |
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Aug 2020
2·3·19 Posts |
Quote:
At this point I'm starting to think it as simply a waste of GHz-hours. If we can start giving assignments with B1=8e8 instead (this is the largest B1 listed at https://www.mersenne.org/report_ecm/, although in this case we should obviously use even higher bounds), and assume the time needed for a curve is proportional to B1, then the same CPU power can be used to test 17 curves, giving a success rate of roughly 2e-4. Still very small, but that is already a 20x improvement. |
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#4 |
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6809 > 6502
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Aug 2003
101×103 Posts
23×1,223 Posts |
Maybe James H can look at the server code that does the ECM assignments. It might be time to tweak it.
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#5 |
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Sep 2002
Oeiras, Portugal
5C016 Posts |
I think you are confusing digits and bits. The TF was performed to 65 bits, and the probability you quoted is for finding a 65 digits factor using B1 = 3e6.
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#6 |
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6809 > 6502
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Aug 2003
101×103 Posts
978410 Posts |
2^65 for that number is in the range of 2,324,976,294,838,206,465 (19 digits)
A B1 of 2000 and 500 curves is around 19 digits Last fiddled with by Uncwilly on 2020-08-08 at 20:32 |
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#7 | |
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Aug 2020
11410 Posts |
Quote:
Oh you're right. I also misinterpreted the graph at http://www.wraithx.net/math/ecmprobs/ecmprobs.html. The "Success Chance" should mean the probability of finding (i.e. not missing) a factor in an interval if there is a factor there, not the overall probability of finding a factor. |
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#8 |
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Sep 2002
Oeiras, Portugal
26·23 Posts |
If you run 4700 ECM curves with B1=3e6, the chance of missing a 40-digit factor is ~ 1/e (if there is one...) . Same holds for the various Size/B1 value / number of curves combinations in the table.
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#9 |
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Aug 2020
11410 Posts |
So the conclusion is that TF limits are too small to help anything in tweaking ECM parameters. Even if we have limits to 2^80 (25 digits), it is not obvious how much this will change the optimal crossing point of 5e4 and 2.5e5.
Last fiddled with by Ensigm on 2020-08-08 at 23:16 |
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#10 | |
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"Curtis"
Feb 2005
Riverside, CA
113758 Posts |
Quote:
Similar conclusions can be made about TF to, say, 79 bits- that rules out factors under 24 digits, so I would run less of a T25 and jump to T30-sized curves sooner. In B1 terms, less than a full set of curves at 5e4 and jump to B1=25e4 sooner. However, it's rather unlikely to have a candidate number that one would TF to 78+ bits *and* consider ECM on. For the size of number for which we ECM, trial-factoring limits are usually 74 bits or lower and starting at B1=5e4 makes sense. So, in practice for GIMPS-factoring, TF doesn't influence our ECM choices. |
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#11 |
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P90 years forever!
Aug 2002
Yeehaw, FL
2×53×71 Posts |
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