20190914, 20:36  #34  
"Curtis"
Feb 2005
Riverside, CA
2^{2}·1,093 Posts 
Quote:
If you set skew to 410M, do you get the same 40 relations? A "no" would conclusively reject my claim. 

20190914, 22:39  #35  
"Max"
Jun 2016
Toronto
701 Posts 
C211 poly
Quote:
Code:
R0: 96818882190389519247725813097586565418501 R1: 148827097607051476178 A0: 6833616701827777569778742549146341079870193298849419692 A1: 13689944665495682939372373982326074456184996569 A2: 2148090690147041132745084413722189879 A3: 427648439376739194153191792 A4: 19488261277504392 A5: 973728 skew: 10892841023.33 # size 6.258e21, alpha 9.564, combined = 7.121e16 rroots = 5 

20190915, 14:45  #36 
"Max"
Jun 2016
Toronto
1010111101_{2} Posts 
C211 poly

20190915, 20:55  #37  
"Max"
Jun 2016
Toronto
701 Posts 
C211 polys
Quote:
Code:
Y0: 8247744810367786591523747762682721 Y1: 139949336576095043641054 c0: 121697515694159644891681490270913604269342 c1: 3234923352759311823303330074168072691 c2: 133402768957865817059990225314786 c3: 573052357776445442366809569 c4: 5025398088308725392418 c5: 4419400381850832 c6: 2210503680 skew: 255103.69305 # lognorm 58.78, E 49.61, alpha 9.17 (proj 3.12), 6 real roots # MurphyE = 1.17147226e15 Code:
Y0: 16495489966970231872306633493333038 Y1: 69974668288047521820527 c0: 58164215341232454269144736611727941171251680 c1: 358962284111646560756801536406561670778 c2: 1083864026708650513009029013236827 c3: 1096238294845069101359840050 c4: 2526340671503694979769 c5: 550374252942234 c6: 69078240 skew: 1115632.55307 lognorm 59.65, E 49.78, alpha 9.88 (proj 2.66), 4 real roots MurphyE = 1.15731893e15 

20190915, 22:56  #38  
(loop (#_fork))
Feb 2006
Cambridge, England
2^{4}·5·79 Posts 
Quote:
I think you are getting confused with the way that GGNFS 15e internally adjusts alim/rlim down to Q0 (IE if you do a f 20000000, it will sieve with alim=20000000 if the value in the poly file is larger than that) 

20190916, 02:55  #39 
"Curtis"
Feb 2005
Riverside, CA
2^{2}×1,093 Posts 
Thank you for doing the footwork to confirm my misunderstanding. Your explanation is the best I have, until I get around to perusing some of the places where esoteric GGNFS discussions have taken place 'round here.

20190916, 02:58  #40 
"Curtis"
Feb 2005
Riverside, CA
2^{2}·1,093 Posts 
My second deg6 run has finished:
Code:
n: 1035494967981608996094968430385789545942273148368197179174157979458916926996249361835599034841457568721713517$ skew: 1483907.861 c0: 758486316282603838580261525697958736410558065 c1: 89244789800220344402617658427797448531 c2: 3372372111141991619249066738092247 c3: 1439537140116844521216509025 c4: 1528375860162091192646 c5: 125567209134150 c6: 25137000 Y0: 12078430430581541489961342383064362 Y1: 12185711440192546653435119 # MurphyE (Bf=1.718e+10,Bg=1.718e+10,area=1.288e+16) = 1.11e08 Testsieving on 2330M indicates that deg 5 is far superior to deg 6 on the polys we found for that project (~1.18 deg 5 vs ~1.38 deg 6 is about 20% faster for deg 5). So, I'm moving my CADO search to deg 5 next time I have some free cycles; I expect a 9e16 deg 5 to be faster than either of my deg 6 polys here. Last fiddled with by VBCurtis on 20190916 at 02:58 
20190919, 20:13  #41  
Jun 2012
101100111000_{2} Posts 
Quote:
Last fiddled with by swellman on 20190919 at 20:20 

20190920, 03:05  #42 
"Curtis"
Feb 2005
Riverside, CA
2^{2}×1,093 Posts 
Gimarel found quite a few good polys for 2330M using msieve (admittedly, with his secretsauce using multiples of 120120 or 210210 I forget which as leading coefficients).
I'd start somewhere like 50 million if I were using msieve, and if I had a functioning CUDA install I'd be using msieve in addition to CADO. 
20190920, 13:32  #43 
Apr 2010
3×47 Posts 
My best polys so far. I hope to get above 1e15.
Code:
# norm 1.191764e20 alpha 8.739251 e 9.542823e16 rroots 5 skew: 290147042.90 c0: 135776935562388704990549019644794533664814428164000 c1: 5937379427987227585128437919182971104650500 c2: 5804073041546668110449407917351361 c3: 333095482498862424229058609 c4: 135588904276392300 c5: 683242560 Y0: 19784296655912504351830419322570633016087 Y1: 144157419788673482041 # norm 1.142823e20 alpha 9.668513 e 9.431845e16 rroots 3 skew: 58035263.11 c0: 4986872452312652038145241813323771956740728170410 c1: 246617563086234831662512103167398893438877 c2: 26937900914384572962697443420308252 c3: 65711817531926823292081111 c4: 1328932861673785270 c5: 37383746400 Y0: 18093085778901249382350215393204523934312 Y1: 161147338183822935653 # norm 1.152128e20 alpha 8.465413 e 9.360483e16 rroots 3 skew: 262473092.38 c0: 242951724554279944917921601254250434171076371823856 c1: 208050745037498983680860166923829227243064 c2: 14449538634104684658097780043593177 c3: 75840018042149775269085489 c4: 169111997159595514 c5: 687566880 Y0: 19759347904801229668001852015718067377447 Y1: 217477571882419666331 
20190921, 12:51  #44 
Jun 2012
2^{3}×359 Posts 
Well sure enough, when I returned home from my travels msieveGPU had not found anything useful. I’m pulling the plug on my search temporarily, but I will likely later take up the suggestion by VBCurtis to search a higher range, e.g. c5>50M. And I must play with CADO poly search  I don’t have much experience with CADO but it is very powerful.

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