20170913, 21:32  #2113 
Sep 2008
Kansas
2^{2}×3^{2}×83 Posts 
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 
20170913, 23:15  #2114 
Jul 2003
So Cal
2^{3}·11·23 Posts 
130_121 is done.

20170918, 08:35  #2115 
(loop (#_fork))
Feb 2006
Cambridge, England
2×5^{2}×127 Posts 
L1541 complete
Code:
Mon Sep 18 08:28:54 2017 p59 factor: 24572721564342894443628333904991213494122501676911797198531 Mon Sep 18 08:28:54 2017 p119 factor: 52087648482887152059927693557818086077317342653765194430601196177094018313728235984233018849831070102864030668470782279 
20170918, 08:37  #2116 
(loop (#_fork))
Feb 2006
Cambridge, England
2×5^{2}×127 Posts 
Taking L3795a, ETA 26 September
Last fiddled with by fivemack on 20170920 at 12:15 
20170919, 07:13  #2117 
May 2009
Russia, Moscow
2×3×11×37 Posts 
C168_11040_10047 completed  37 hours on 6.5M matrix (TD=140).
Code:
prp60 factor: 491603674812510082226272789729122345012757309242463575729529 prp108 factor: 335100558920055696578425554604534422765141390009127644899659908857715878388956356577572131424574905751694487 C164_142_95 completed  28.5 hours on 5.7M matrix (TD=140). Code:
prp62 factor: 20760201695936308939892001143689750992739762375605352068278831 prp103 factor: 1584326367334797141238866046488685093621775889979686456722229705173469907516345331732370833183022919813 
20170919, 07:22  #2118 
(loop (#_fork))
Feb 2006
Cambridge, England
2·5^{2}·127 Posts 
frmky is willing to run 135_128, which solves a bit of our resourcing problem at 15e.

20170919, 10:27  #2119 
Jun 2012
53^{2} Posts 
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. 
20170920, 06:20  #2120 
(loop (#_fork))
Feb 2006
Cambridge, England
2·5^{2}·127 Posts 
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 20170920 at 06:21 
20170920, 11:43  #2121 
Jun 2012
53^{2} Posts 
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 1020 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... 
20170920, 17:10  #2122 
"Rich"
Aug 2002
Benicia, California
2^{2}×5^{2}×11 Posts 
Reserving 113990869481^191 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. 
20170920, 18:21  #2123  
"Curtis"
Feb 2005
Riverside, CA
1000001110111_{2} Posts 
Quote:
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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