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My best from msieve, A1 from 10M to 11.8M default stage 1 norm:
[code]# norm 1.255195e-17 alpha -7.418710 e 7.273e-14 rroots 1 skew: 12833137.64 c0: -1651844500202603092273209171676707935633280 c1: -666189676666650339051903353897671332 c2: -22882374219520520514775531444 c3: 19138754816351501187919 c4: 118556687648450 c5: 11772024 Y0: -42052088395839133578660941153950487 Y1: 3988882332181554479[/code] Second best is 7.10, no others over 7.0. CADO should finish soon. |
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My best poly:
[CODE] # norm 1.410097e-17 alpha -6.283760 e 7.775168e-14 rroots 5 skew: 55099868.10 c0: -26923371051647154482176838989390697776905419 c1: 270802559180583462999025156019328254 c2: 79868109989680201381603449209 c3: -598976376776587014086 c4: -36162563490522 c5: 13860 Y0: -162033630917183209833724693720279332 Y1: 9661052375909867827 [/CODE]All polys above score 7e-14: [ATTACH]13756[/ATTACH] I havn't done any testsieving. |
Here's the best from CADO:
[code]skew: 28549120.0 c0: 31695133714159212627102779580357485588240640 c1: -7140263814077019281755963680358035664 c2: -138241522083103402667415875346 c3: 17364522990413160912171 c4: 91780801517494 c5: 209520 Y0: -93609149816794578396382623932473153 Y1: 5902366602845958906530717[/code] Stats: a1 run from 1 to 2.31M, P = 5000000 (default for c180). Default root-opt was 900 hits (ugh), reducing it between stages 1 and 2 produced an error so I let it root-opt for 2 days. CADO 2.1.1. 2.2.0 has better poly select, I'll try that next time (for less time, now that I know more about poly-select parameter choice). I have not test-sieved this, nor have I tried msieve to find out E-score; the methods for producing E-score are different, so the scores are not close to comparable. CADO's e-score is 6.50e-12. |
A quick test-sieve: 15e/32, alim=rlim=199M (chosen by factmsieve), q=33.1 and 33.4M (two threads), q-range 500 per thread. All sieving done by ggnfs (CADO refers to the source of the poly, not the sieving)
CADO .324 rel/sec, yield 3.3 EDIT: sec/rel, not rel/sec! Gimarel .272 sec/rel, yield 2.8 Curtis .274 sec/rel, yield 2.6 Wombatman .273 sec/rel, yield 2.0 So, 5 min of test sieve is only enough to show the CADO poly is not competitive at small q. CADO doesn't sieve below alim by default, so I wonder if the polys CADO produces are better at higher q. Wombatman's score 7.36 poly appears to yield very poorly, so a more thorough test-sieve between gimarel and my own poly appears in order. |
It looks to me that your CADO poly is by far the best poly, achieving a nearly 20% better rels/second, and a better yield to boot. Why do you say it's not competitive?
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That would be because I wrote rel/sec, rather than seconds per relation as ggnfs reports. Whoops! (fixed via edit)
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[QUOTE=VBCurtis;423637]That would be because I wrote rel/sec, rather than seconds per relation as ggnfs reports. Whoops! (fixed via edit)[/QUOTE]
That was my best guess :smile: It's still quite curious that it achieves the best rel/q despite the worst rel/sec. Curious indeed. |
I revisited these polys with some test sieving at q=67M and 100M over a range of 1e4 q. Most seem close in performance. The CADO poly just wasn't ever in the mix, it always lagged in speed.
Will post them in the NFS@Home queue management thread. |
It is absolutely not worth making decisions on yield from a region as narrow as 500Q, you're just measuring fluctuations in the distribution of prime ideals.
1e4 range is the minimum one to use for answers you can trust, and I would still be wary about deciding between a yield of 4.2rel/Q and 3.8rel/Q from so narrow a sieve. I *would* be willing to believe that one polynomial sieves faster than another given a 0.01sec/rel difference on a 1e4-range experiment. |
3366.2124 done and in the database; I've done 1000@1e7 ECM on the C126 from 3366.2125, which is probably enough, and leave the GNFS to someone else.
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I've cracked several easy composites and now stopped at i2132 C167 which resist 7200@43e6.
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