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Old 2017-09-13, 21:32   #2113
RichD
 
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Default C208_124_107 (15e) factored

124 hours to solve a 12.5M matrix using -t 4, w/ TD=136.
Code:
p72 factor: 267334869844255969519671159489493536778014788561751429286114214298677333
p137 factor: 16217889812789483905608630327898136888641850755006409303847873215768945002467084682896646682958962902963089931703732754668219847298474393
https://pastebin.com/3AuvHezX
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Old 2017-09-13, 23:15   #2114
frmky
 
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130_121 is done.
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Old 2017-09-18, 08:35   #2115
fivemack
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Default L1541 complete

Code:
Mon Sep 18 08:28:54 2017  p59 factor: 24572721564342894443628333904991213494122501676911797198531
Mon Sep 18 08:28:54 2017  p119 factor: 52087648482887152059927693557818086077317342653765194430601196177094018313728235984233018849831070102864030668470782279
229.2 hours on 7 cores E5-2650v2 for 20.85M density-130 (132 didn't work) matrix. Log attached and at https://pastebin.com/kZmGTbHg
Attached Files
File Type: log L1541.log (68.2 KB, 13 views)
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Old 2017-09-18, 08:37   #2116
fivemack
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Taking L3795a, ETA 26 September

Last fiddled with by fivemack on 2017-09-20 at 12:15
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Old 2017-09-19, 07:13   #2117
unconnected
 
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C168_11040_10047 completed - 37 hours on 6.5M matrix (TD=140).

Code:
prp60 factor: 491603674812510082226272789729122345012757309242463575729529
prp108 factor: 335100558920055696578425554604534422765141390009127644899659908857715878388956356577572131424574905751694487
https://pastebin.com/EkJUqW12

C164_142_95 completed - 28.5 hours on 5.7M matrix (TD=140).

Code:
prp62 factor: 20760201695936308939892001143689750992739762375605352068278831
prp103 factor: 1584326367334797141238866046488685093621775889979686456722229705173469907516345331732370833183022919813
https://pastebin.com/XvrxAK1u
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Old 2017-09-19, 07:22   #2118
fivemack
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frmky is willing to run 135_128, which solves a bit of our resourcing problem at 15e.
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Old 2017-09-19, 10:27   #2119
swellman
 
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Default 148_83 Progress

Currently crunching in LA, 15946799 of 49068517 dimensions (32.5%, ETA 2809h12m). So it should finish ~15th of January.

I am more than willing to take another 15e/33 job once 148_83 is factored.
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Old 2017-09-20, 06:20   #2120
fivemack
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Thank you!

The problem with the enormous 15e jobs isn't so much finding willing crunchers, as that they tie up the largest fastest computers of the most dedicated crunchers for months at a time, and so reduce disproportionately the effort available for the routine 14e jobs - any of the 15e/33 jobs represents about the same amount of compute as all the outstanding 14e jobs.

And we pretty much have to keep adding 14e jobs at the rate we have been, because there's a lot of BOINC effort that wants to crunch on them. I think, after my current personal SNFS270, that I'll need to take four 14e jobs at a time and run them on my cluster.

Last fiddled with by fivemack on 2017-09-20 at 06:21
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Old 2017-09-20, 11:43   #2121
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No worries. But you raise a good point - my biggest/best machine will only accomplish 2 post processing jobs in a year. Which means it's not doing 10-20 smaller jobs in the same year.

As such, I've tried personally to avoid suggesting any more 15e/33 jobs. Maybe next summer after all the current big jobs are completed. And then only if I'm willing to run the postprocessing as well. My mess, my cleanup...
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Old 2017-09-20, 17:10   #2122
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Reserving 113990869481^19-1 cofactor.

C190_3372531985651_17 is delayed since 4GB of memory on my i3 was not enough for the matrix, and my 8GB machine is finishing a C153 today.
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Old 2017-09-20, 18:21   #2123
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Quote:
Originally Posted by fivemack View Post
And we pretty much have to keep adding 14e jobs at the rate we have been, because there's a lot of BOINC effort that wants to crunch on them. I think, after my current personal SNFS270, that I'll need to take four 14e jobs at a time and run them on my cluster.
I'll be making a dent on the 14e queue, as I just completed a GNFS-172 factorization on my home machine that began 9 July.

I accidentally set that as 15e/33 job rather than the intended 15e/32; it took 529M raw relations to build a 9.0M matrix at density 104. The matrix built on the first try (I use the factmsieve.py script). alim was 90M, sieved Q something like 22 to 82M. I was out of disk space for any 14e jobs, so I deleted the relations before considering that I could have tried some other filtering settings (such as fewer relations, higher TD) to get some more 33LP data. Next time...

Another data point to suggest LP bounds don't have much effect on matrix size.
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