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Data attached, if anyone is interested.
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[quote=henryzz;192816]once i have finally managed to compile msieve-gpu i will have a CUDA gpu i can run on polynomial selection
it is proving difficult to get environment variables and such like correct all you need is a nvidia series >=8 those look good polys[/quote] i finally got it working i will start polynomial selection with it |
[QUOTE=bsquared;192817]So on a whim I drug out a 1.92e-12 scoring poly with a better alpha (-6.44), and it beat the pants off of the 2.14e-12 poly. <snip>
I think there are better polys to be found, but this is the baseline so far. Lesson to be learned: Murphy_E is a crapshoot![/QUOTE] May I offer the following three polys for your consideration: [CODE]BEGIN POLY #skewness 492944.87 norm 2.47e+021 alpha -6.03 Murphy_E 2.00e-012 X5 22783680 X4 3049889691192 X3 25115676975823063898 X2 -1057549120220075124773221 X1 -4015168516778629810185220755126 X0 -68074828915752550906211652474462780 Y1 56460946476157681 Y0 -548263756929827444068662381961 M 130374183394572597071227248002684258680753480045928203593454005872997714178038084759490414258234615905198731655011653462453390100735529354844596548096485215 END POLY BEGIN POLY #skewness 591796.65 norm 3.01e+021 alpha -6.32 Murphy_E 2.02e-012 X5 22783680 X4 2209855409592 X3 25038106255076701466 X2 -1612254100171446541836739 X1 -7285061836793671322852863008672 X0 120437822537708031145046391210398448 Y1 56460946476157681 Y0 -548263757346170463383849121655 M 130374183394572597071227248002684258680753480045928203593454005872997714178038084759490414258234615905198731655011653462453390100735529354844596548096492589 END POLY BEGIN POLY #skewness 594103.05 norm 3.05e+021 alpha -6.34 Murphy_E 2.03e-012 X5 22783680 X4 2558901387192 X3 25067329196727393818 X2 -1381972795712101042561075 X1 -7294236258178618545696273107894 X0 -164061303268787107813228616719980278 Y1 56460946476157681 Y0 -548263757173174123380901987071 M 130374183394572597071227248002684258680753480045928203593454005872997714178038084759490414258234615905198731655011653462453390100735529354844596548096489525 END POLY [/CODE] |
[QUOTE=bsquared;192797]details:
[code] #skewness [B]979863.43[/B] norm 8.85e+20 alpha -5.12 Murphy_E 2.14e-12 c5: 156600 c4: 5511109690356 skew: [B]197324.88[/B] #skewness [B]1249264.69[/B] norm 1.13e+21 alpha -5.19 Murphy_E 2.07e-12 c5: 156600 c4: 5314399732356 skew: [B]197324.88[/B] #skewness [B]1239920.67[/B] norm 1.08e+21 alpha -5.17 Murphy_E 2.07e-12 c5: 156600 c4: 5335915006356 skew: [B]197324.88[/B] [/code] [/QUOTE] Saaay... Did you just test all those goodly polynomials with wrong skew??? :glare: EDIT:- Yes you did For the 2.14: Wrong skew {total yield: 1050, q=30001003 (0.33863 sec/rel)} Proper skew {total yield: 1174, q=30001003 (0.29744 sec/rel)} |
[quote=axn;192905]Saaay... Did you just test all those goodly polynomials with wrong skew??? :glare:
EDIT:- Yes you did For the 2.14: Wrong skew {total yield: 1050, q=30001003 (0.33863 sec/rel)} Proper skew {total yield: 1174, q=30001003 (0.29744 sec/rel)}[/quote] Err, yes, yes I did :doh!:. Copied it over from the last C157... I get: Wrong skew {total yield: 1116, q=10001009 (0.17081 sec/rel)} Proper skew {total yield: 1341, q=10001009 (0.14201 sec/rel)} FWIW, the 1.92e-12 poly was also tested wrong: Wrong skew {total yield: 1396, q=10001009 (0.14012 sec/rel)} Proper skew {total yield: 1421, q=10001009 (0.13689 sec/rel)} And here are your 3 candidates (as you posted them, top to bottom): total yield: 1078, q=10001009 (0.13871 sec/rel) total yield: 951, q=10001009 (0.14025 sec/rel) total yield: 1211, q=10001009 (0.14852 sec/rel) And my two 2.07e-12 polys: total yield: 1195, q=10001009 (0.14133 sec/rel) total yield: 1038, q=10001009 (0.14251 sec/rel) And finally, jrk's msieve poly: total yield: 1163, q=10001009 (0.14720 sec/rel) I'll take the 2.14 poly, 1.92 poly, and your fastest poly and do some more trial sieving. |
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[quote=bsquared;192919]
I'll take the 2.14 poly, 1.92 poly, and your fastest poly and do some more trial sieving.[/quote] A winner is emerging: axn's 2.00e-12 poly appears to be consistently faster, with a higher yield, than the others I tested. [code] n: 1128681916333165583281832717120127496638972860118923964844791402387721331170448754199775637678274646951935918929237315749341487244542351920306209843985409563 #BEGIN POLY #skewness 492944.87 norm 2.47e+021 alpha -6.03 Murphy_E 2.00e-012 c5: 22783680 c4: 3049889691192 c3: 25115676975823063898 c2: -1057549120220075124773221 c1: -4015168516778629810185220755126 c0: -68074828915752550906211652474462780 Y1: 56460946476157681 Y0: -548263756929827444068662381961 skew: 492944.87 rlim: 45000000 alim: 45000000 lpbr: 29 lpba: 29 mfbr: 58 mfba: 58 rlambda: 2.6 alambda: 2.6 [/code] |
Here are the three best polys I found overnight:
[code]# norm 2.999613e-15 alpha -7.053170 e 2.102e-12 skew: 4947197.07 c0: 254361561800804638444888132008691713600 c1: 277567242655343801120663754660120 c2: -41169227890365677403210934 c3: -33865259805947197259 c4: 5813164911518 c5: 214800 Y0: -1393498408963548236214652730759 Y1: 581416348390623701 # norm 2.797246e-15 alpha -7.634500 e 2.004e-12 skew: 7829822.03 c0: -392472115828519587544012662072667953792 c1: 1135538850431039541173288486836512 c2: 215718619935831247136208602 c3: -66702913924475596555 c4: 4019834079518 c5: 214800 Y0: -1393499379793961455729608702127 Y1: 581416348390623701 # norm 2.691749e-15 alpha -7.287346 e 1.958e-12 skew: 7493033.63 c0: -1191940646279096538567449411970147312640 c1: 245517647645424865764025430284152 c2: -67767123827532957236661598 c3: -26904687145857425547 c4: 6126231615518 c5: 214800 Y0: -1393498239483008345741406384063 Y1: 581416348390623701 [/code] And look at the alpha on this one! [code]# norm 2.644805e-15 alpha -8.500494 e 1.914e-12 skew: 18761259.11 c0: 70384025424543567250040749496664182714880 c1: 34739194678189905179867695959241928 c2: 369205076515588254645800050 c3: -294264765478046013769 c4: 659280547786 c5: 214200 Y0: -1394280990497229313048382187377 Y1: 593607538600963639 [/code] |
[quote=jrk;192929]Here are the three best polys I found overnight:
[/quote] I'll do a comparison. |
I always hate it when no-one mentions the siever used for testing, or bothers to test between sievers. I presume you have been using 14e for testing, but it would be good to give 15e a try, just in case.
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The clear winner is now this one from jrk:
[code] n: 1128681916333165583281832717120127496638972860118923964844791402387721331170448754199775637678274646951935918929237315749341487244542351920306209843985409563 # norm 2.797246e-15 alpha -7.634500 e 2.004e-12 skew: 7829822.03 c0: -392472115828519587544012662072667953792 c1: 1135538850431039541173288486836512 c2: 215718619935831247136208602 c3: -66702913924475596555 c4: 4019834079518 c5: 214800 Y0: -1393499379793961455729608702127 Y1: 581416348390623701 rlim: 45000000 alim: 45000000 lpbr: 29 lpba: 29 mfbr: 58 mfba: 58 rlambda: 2.6 alambda: 2.6 [/code] I didn't test the last one with really low alpha. Anyone still have any poly selection going on? Henryzz? The above poly would need ~ 39MQ to get ~50M relations, and take a little less than 6Msec. We've chopped a million seconds of sieving time off by finding better polys (and using them correctly)... pretty nice! [edit] Using 14e siever. sorry I thought that was clear. I don't think we need 15e for this one... Feel free to test it if you want. |
i stopped my poly selection run
i suspect my gpu is rather pathetic also it seg faults every time i hibernate which makes it almost unusable for that size number |
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