I meant only to answer Sean's query about the value of using msieve vs CADO. For anyone lacking a GPU, CADO is the clear choice for serious-effort composites (I dunno how low, best guess is 135+ digits). For feeding NFS@home, a GPU-day on msieve + a few core-days on CADO for a few different numbers will ensure the 14e queue has food, as well as helping us gather examples to compare CADO to msieve-GPU poly quality.

I'll do a GPU-day on this C173 starting at A1 = 100k to help the comparison. I'm personally more interested in comparing the software results than I am feeding the queue, else I'd knock out a few more polys with a day each. I might get to that in June, but my GPU is occupied most of the rest of May.

My go at the C173 is taking longer than I thought. Call it 3 CPU-days (ETA 1). In sum it is the CADO-recommended amount (i.e. the amount it would do by default before moving to sieving).

There's also another GNFS task, C188_140_113:[code]51928438462607404737043189983177088594484655472144336181756537025533635370879714014750880494339341212074869710914584937712249921999507347297047835234867294560314897640299447799219467293637[/code]About 50% of t60 is done on it; a factor still may fall out, but the chance is quite low.

[QUOTE=XYYXF;434039]C173_139_59
[code]34479138122685128727918503603464263580050510974306334975729059375543710498426986220146818798036297021014916935193033172364267380987223293686993196656448672279611520337389721[/code]

Thanks in advance :)[/QUOTE]

Here's the top 5 from CADO, its default amount of poly select, which was around ~3 CPU-days of work.

[code]n: 344791381226851287279185036034642635800505109743063349757290593755437104984269862201468187980362970210149169351930
33172364267380987223293686993196656448672279611520337389721
skew: 1335808.0
c0: 387791869088524171451616910842298125552
c1: -1627706106635766854677420302311924
c2: 713730807612923775332352144
c3: 2041990797545923660967
c4: -104446892249868
c5: 36412740
Y0: -1232221203350897612542968561876865
Y1: 18890353014002536254449
# MurphyE (Bf=1.00e+07,Bg=5.00e+06,area=1.00e+16) = 2.25e-13
# lognorm 53.56

n: 34479138122685128727918503603464263580050510974306334975729059375543710498426986220146818798036297021014916935193033172364267380987223293686993196656448672279611520337389721
skew: 2481152.0
c0: -881531622281417491395870708712728361326
c1: -12392525690562916109927028699694411
c2: -8312029032340810486750452390
c3: 4323698392044887335255
c4: 487091542375152
c5: 10904400
Y0: -2069250787590067620642783482094530
Y1: 7491126098956512078473
# MurphyE (Bf=1.00e+07,Bg=5.00e+06,area=1.00e+16) = 2.05e-13
# lognorm 54.65

n: 34479138122685128727918503603464263580050510974306334975729059375543710498426986220146818798036297021014916935193033172364267380987223293686993196656448672279611520337389721
skew: 1853952.0
c0: -139380690982113285720506233886229813276
c1: 5197873714511436671788252636824292
c2: 1983142702530420904278165027
c3: -2526062094908554469239
c4: 59653677406176
c5: 108390240
Y0: -1307220951121355119121205412023852
Y1: 13517108705672089306643
# MurphyE (Bf=1.00e+07,Bg=5.00e+06,area=1.00e+16) = 2.04e-13
# lognorm 53.83

n: 34479138122685128727918503603464263580050510974306334975729059375543710498426986220146818798036297021014916935193033172364267380987223293686993196656448672279611520337389721
skew: 1455616.0
c0: -115745058707370098538432558550505215680
c1: 298652439254901617888471729514716
c2: 1016773653184537392958501959
c3: -282009201658895889647
c4: -44645499217632
c5: 35390880
Y0: -1878354179709467208731760585017919
Y1: 38210866208909943630899
# MurphyE (Bf=1.00e+07,Bg=5.00e+06,area=1.00e+16) = 2.02e-13
# lognorm 52.45

n: 34479138122685128727918503603464263580050510974306334975729059375543710498426986220146818798036297021014916935193033172364267380987223293686993196656448672279611520337389721
skew: 2962432.0
c0: 27034531063894665041390513650106337674400
c1: 143089369195626432079051495049020
c2: -16601414383359955900319047221
c3: 1924689305709482140505
c4: 783667781984436
c5: 67606560
Y0: -1250664399385069472739216286946479
Y1: 3695455190218983607253
# MurphyE (Bf=1.00e+07,Bg=5.00e+06,area=1.00e+16) = 2.02e-13
# lognorm 55.03
[/code]

If in a few days no one has started C188 then I'll take a look at running it through CADO. I want to finish my current aliquot reservation first.

VBCurtis, would you be willing to post your post-sizeopt hits again?

[QUOTE=XYYXF;434039]C173_139_59
[code]34479138122685128727918503603464263580050510974306334975729059375543710498426986220146818798036297021014916935193033172364267380987223293686993196656448672279611520337389721[/code]

Thanks in advance :)[/QUOTE]

3 good hits: 2.284, 2.277, and 2.259:
[code]# norm 8.340529e-17 alpha -8.102789 e 2.259e-13 rroots 3
skew: 22231851.29
c0: 341468976065539083006521353956210974903800
c1: 265933747287181821140876904379636886
c2: 1504349170112038840531037885
c3: -1199027668924516073000
c4: -98766825250716
c5: 186480
Y0: -2840434825591921734390591425784537
Y1: 37459280589289771

# norm 8.321140e-17 alpha -6.359217 e 2.277e-13 rroots 5
skew: 17585569.89
c0: -89128313116298989163444393858408494846559
c1: 75202604379131164073290965726848862
c2: -10206874843434891360498546029
c3: -317099171577993101178
c4: 25847512339768
c5: 631176
Y0: -2225774614421631677857620554320578
Y1: 16708833215071681

# norm 8.453764e-17 alpha -7.682575 e 2.284e-13 rroots 5
skew: 20319586.54
c0: -946671312506868304798583076639702524932320
c1: 164282522294623228910796877746727332
c2: 25232278688149571650909987124
c3: -2924808965524900601507
c4: -78496319901694
c5: 591480
Y0: -2254879132167183735483368748054947
Y1: 7530111939454049 [/code]

[QUOTE=Dubslow;434355]VBCurtis, would you be willing to post your post-sizeopt hits again?[/QUOTE]

Sure, they're attached. Two runs, so the scores reset after ~250 hits. 16 hr and 7 hr, I think. coeff's 100k to 675k.

The first 8 alone got up to 2.17e-13. I think it'll be tomorrow though before the other ~380 finish.

Here's the top 5 from CADO rootopt on your sizeopted hits:

[code]n: 34479138122685128727918503603464263580050510974306334975729059375543710498426986220146818798036297021014916935193033172364267380987223293686993196656448672279611520337389721
skew: 6637568.0
c0: -10889105601629125038806527496775758297015
c1: 11394399399846453857523054958424094
c2: -786715094480263088740519037
c3: -703239076628310093690
c4: 7667352370888
c5: 631176
Y0: -2225774614517886687789347578920984
Y1: 16708833215071681
# MurphyE (Bf=1.00e+07,Bg=5.00e+06,area=1.00e+16) = 2.3e-13
# lognorm 53.03

n: 34479138122685128727918503603464263580050510974306334975729059375543710498426986220146818798036297021014916935193033172364267380987223293686993196656448672279611520337389721
skew: 8491008.0
c0: -146500114627489758079463551405859004491616
c1: 17347541839693874654249464144579488
c2: 12731068356335916002076064142
c3: -85971437136839853161
c4: -118392230007954
c5: 248040
Y0: -2682915137335644264087417105448787
Y1: 7534975867913461
# MurphyE (Bf=1.00e+07,Bg=5.00e+06,area=1.00e+16) = 2.17e-13
# lognorm 54.05

n: 34479138122685128727918503603464263580050510974306334975729059375543710498426986220146818798036297021014916935193033172364267380987223293686993196656448672279611520337389721
skew: 4622336.0
c0: -14433906057375928283259782953527905013333
c1: 5317830654603905183592922583396638
c2: 4152384915058422060601512491
c3: -858815766179496366872
c4: -99566523285516
c5: 186480
Y0: -2840434825624049697788571708706504
Y1: 37459280589289771
# MurphyE (Bf=1.00e+07,Bg=5.00e+06,area=1.00e+16) = 2.15e-13
# lognorm 53.42

n: 34479138122685128727918503603464263580050510974306334975729059375543710498426986220146818798036297021014916935193033172364267380987223293686993196656448672279611520337389721
skew: 7096320.0
c0: -10404303178741585574018368104632579899608
c1: 6365249504589167973034103288255794
c2: 6245522594066143920887484511
c3: -319958453839703630624
c4: -59071893514338
c5: 232200
Y0: -2718559468207889648042986596515533
Y1: 52790030796386939
# MurphyE (Bf=1.00e+07,Bg=5.00e+06,area=1.00e+16) = 2.15e-13
# lognorm 53.26

n: 34479138122685128727918503603464263580050510974306334975729059375543710498426986220146818798036297021014916935193033172364267380987223293686993196656448672279611520337389721
skew: 11898880.0
c0: -495972291318941666734522590963240671574985
c1: 182713847873464853237864878583336211
c2: 21717241076344588983037967951
c3: -3047098926687697538859
c4: -77335904161894
c5: 591480
Y0: -2254879132164229092750901586670474
Y1: 7530111939454049
# MurphyE (Bf=1.00e+07,Bg=5.00e+06,area=1.00e+16) = 2.15e-13
# lognorm 54.87[/code]

It seems that one day of GPU-Msieve is appreciably better than 2 days of CPU-CADO for stage 1 and sizeopted hits.

I think we'd need to do some trial sieving to see if the comparable scores we got after rootopt are really comparable polys.

Well, the scores for my best (2.284), your best (2.25), and the best hybrid GPU/CADO (2.30) are within 2%. I agree about test-sieving, but I don't think "appreciably better" is accurate. 2% is noise, as test-sieving often shows same-score polys with 5% sec/rel differences. I don't have time this weekend to test-sieve, so I hope you do!

If one of you wouldn't mind teaching me how, I'd be willing to do some test-sieving. I've been meaning to learn how to properly do it anyway. :smile: