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Old 2020-11-30, 08:04   #56
VBCurtis
 
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"Curtis"
Feb 2005
Riverside, CA

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I'm running a full CADO poly select on your number; I expect a result in about 24hr. I'll test-sieve and post the new job before I go to sleep Monday night.
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Old 2020-12-01, 03:11   #57
RichD
 
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Sep 2008
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QUEUED AS 15271_61m1

C252 from the MWRB file with OPN weight 7703.
Code:
n: 107665625842900840701950591057442165033887905969482340011197117425785466275655288916216779882220946631543011131826279713471937840021550645228351788480472580282558440697979090820035074460685573846371690477241915063318450603032822223140863222710748750161
# 15271^61-1, difficulty: 255.22, skewness: 0.20, alpha: 0.00
# cost: 1.23368e+19, est. time: 5874.67 GHz days (not accurate yet!)
skew: 0.201
c6: 15271
c0: -1
Y1: -1
Y0: 689723100044620699873992383631290587393201
type: snfs
rlim: 134000000
alim: 134000000
lpbr: 31
lpba: 31
mfbr: 62
mfba: 90
rlambda: 2.7
alambda: 3.6
Trial sieving 5K blocks.
Code:
  Q  Yield
 20M 12647
 60M 10570
100M  9969
140M  8686

Last fiddled with by swellman on 2020-12-01 at 11:27
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Old 2020-12-01, 06:43   #58
VBCurtis
 
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Feb 2005
Riverside, CA

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QUEUED AS C178_11040_10116

Unconnected's C178 from 11040:i10116 for 15e_small queue:

Code:
n: 6437553752823685838217690926573882885622250110288442315523720105551945566026543710584616012883506987026751004969372709823968044293589272195152609449462214404921722558540754918587
type: gnfs
lss: 0
skew: 36629059.957
c0: 9126476081540049063682686409485423179535595
c1: -646562963486309434048753389958606741
c2: -27122898196918240754352048483
c3: 117143899134288676981
c4: -23050629162112
c5: 71400
Y0: -39086447857351790135076322764223422
Y1: 1416011193984494666751751
rlim: 100000000
alim: 134000000
lpbr: 31
lpba: 32
mfbr: 59
mfba: 91
rlambda: 2.7
alambda: 3.7
cownoise says skew 54753925 score 1.240e-13. I left the skew as CADO generated it. This poly scores about 25% higher than the original candidate.

I suggest Q from 25-145M for ~290M relations:
Test-sieve ranges are 1kQ
Code:
#Q=30M	3580 rels, 0.225 sec/rel
#Q=50M	3130 rels, 0.248 sec/rel
#Q=70M	2401 rels, 0.275 sec/rel
#Q=90M	2279 rels, 0.308 sec/rel
#Q=110M 2329 rels, 0.322 sec/rel
#Q=130M 2010 rels, 0.336 sec/rel
#Q=150M 2095 rels, 0.357 sec/rel

Last fiddled with by swellman on 2020-12-01 at 11:27
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Old 2020-12-02, 06:36   #59
VBCurtis
 
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13_2_874m1 is ready for e-small:
Code:
n: 4131369515587192676362528757079579368807305934859326938049114968231369470843262921508452895911468140526348264535659298926897739697777898752107451119345204395690318786775682531183927772841271527078478846206994946986386654807109929889493977251313649
skew: 0.822
type: snfs
c6: 13
c0: -4
Y1: -1
Y0: 89202980794122492566142873090593446023921664
rlim: 134000000
alim: 134000000
lpbr: 31
lpba: 32
mfbr: 62
mfba: 92
rlambda: 2.7
alambda: 3.7
test-sieve of 1kQ ranges on the -r side suggest Q from 20-165M should yield ~320M relations:
Code:
Q=20M	3040 rels, 0.246 sec
Q=40M	2703 rels, 0.257 sec
Q=60M	2255 rels, 0.306 sec
Q=80M	2080 rels, 0.321 sec
Q=100M	2197 rels, 0.306 sec
Q=120M	2135 rels, 0.322 sec
Q=140M	1894 rels, 0.358 sec
Q=160M	2016 rels, 0.376 sec
The queue is getting a bit long, so I cut 5MQ off to conserve resources. I'll still get a matrix just fine, I'll just have to wait for nearly-all relations to come in. We should consider trying to conserve Q-ranges in the short term to get more jobs sieved, especially since we have more matrix-solvers than jobs.
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