20220823, 19:33  #78  
Apr 2020
1110100001_{2} Posts 
Quote:
For 2LP at c165, I'd drop mfb1 to 61 and bump lim1 up to something like 80M to compensate. Also ncurves1 back up to 25. Let's wait to see what VBCurtis thinks. 

20220823, 21:08  #79  
"Curtis"
Feb 2005
Riverside, CA
3^{3}×11×19 Posts 
Quote:
I'm finding best speed/duplicate compromise when Qmax is 6 to 7 times Qmin. If Qmax exceeds 8 * Qmin, I raise Qmin accordingly on the params file for that size. For 31bit LP and no 3LP, I'd use ncurves of 21 and 25, but up or down a couple seems to not matter. Edit: Try lambda0 = 1.86 for mfb0 = 58, and 1.89 for mfb0 = 59. That should improve yield. Last fiddled with by VBCurtis on 20220823 at 21:09 

20220911, 15:25  #80 
"Ed Hall"
Dec 2009
Adirondack Mtns
5,261 Posts 
Here's the latest, a c171:
Code:
N = 902... <171 digits> tasks.I = 14 tasks.lim0 = 65000000 tasks.lim1 = 40000000 tasks.lpb0 = 31 tasks.lpb1 = 31 tasks.qmin = 15000000 tasks.sieve.mfb0 = 58 tasks.sieve.mfb1 = 89 tasks.sieve.ncurves0 = 19 tasks.sieve.ncurves1 = 10 tasks.sieve.qrange = 5000 Polynomial Selection (size optimized): Total time: 979823 Polynomial Selection (root optimized): Total time: 9797.37 Lattice Sieving: Total time: 1.25403e+07s (all clients used 4 threads) Lattice Sieving: Total number of relations: 225750239 Found 136126593 unique, 61871366 duplicate, and 0 bad relations. cownoise Best MurphyE for polynomial is 2.98902086e13 
20220911, 16:57  #81 
"Curtis"
Feb 2005
Riverside, CA
3^{3}×11×19 Posts 
Let me know what size you plan to run next; I'll do my first batch of las testsieving on that size so we can make progress on these settings. I plan to test a bunch of settings, and then have you run a full job on the ones I think are fastest.
There remain good reasons to test full jobs for instance, testsieving doesn't indicate just how many relations will be needed when I change LP bounds. Our experience provides reasonable estimates, but when I'm trying to eke out 5% more speed an estimation error of 5% can swamp whatever speed I think I'm finding. 
20221216, 17:33  #82 
"Ed Hall"
Dec 2009
Adirondack Mtns
5,261 Posts 
Here's the latest c167 (from AS 3408):
Code:
N = 336... <167 digits> tasks.I = 14 tasks.lim0 = 60000000 tasks.lim1 = 80000000 tasks.lpb0 = 31 tasks.lpb1 = 31 tasks.qmin = 7000000 tasks.sieve.lambda0 = 1.89 tasks.sieve.mfb0 = 59 tasks.sieve.mfb1 = 61 tasks.sieve.ncurves0 = 21 tasks.sieve.ncurves1 = 25 tasks.sieve.qrange = 5000 Polynomial Selection (size optimized): Total time: 515057 Polynomial Selection (root optimized): Total time: 31081.2 Lattice Sieving: Total time: 8.02481e+06s (all clients used 4 threads) Lattice Sieving: Total number of relations: 226666329 Found 132454195 unique, 75257815 duplicate, and 0 bad relations. cownoise Best MurphyE for polynomial is 5.68871761e13 
20230113, 03:19  #83 
"Ed Hall"
Dec 2009
Adirondack Mtns
5,261 Posts 
c170:
Code:
N = 491... <170 digits> tasks.A = 28 tasks.lim0 = 80000000 tasks.lim1 = 60000000 tasks.lpb0 = 32 tasks.lpb1 = 32 tasks.qmin = 11000000 tasks.sieve.adjust_strategy = 2 tasks.sieve.lambda0 = 1.91 tasks.sieve.lambda1 = 2.81 tasks.sieve.mfb0 = 61 tasks.sieve.mfb1 = 90 tasks.sieve.ncurves0 = 13 tasks.sieve.ncurves1 = 8 tasks.sieve.qrange = 5000 Polynomial Selection (size optimized): Total time: 1.38663e+06 Polynomial Selection (root optimized): Total time: 33979.4 Lattice Sieving: Total time: 7.0605e+06s (all clients used 4 threads) Lattice Sieving: Total number of relations: 337852877 
20230113, 08:08  #84 
"Curtis"
Feb 2005
Riverside, CA
3^{3}×11×19 Posts 
This job made a matrix of 16M size? Yuck! 2LP params yield a matrix half this size.
Either I am badly mistaken that 32LP jobs don't yield much larger matrices than 31LP, or I'm learning that 3LP params yield much larger matrices. Bright side is that either way, I am learning something! We don't need the extra yield from 32LP here; next time you have a C170ish we'll use 31LP and drop mfb1 by 1 also so 31/61 and 31/89. Dunno what number of relations to target. 
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