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Old 2021-09-04, 04:52   #518
VBCurtis
 
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This is good enough to sieve with.

Between this and the Cunningham 3,748+ C204, one should go to f-small and the other should be a team sieve. Which should be which? My vote is to team-sieve the C204 because Cunningham numbers get wide client-interest, but it's not a strong opinion.
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Old 2021-09-04, 04:57   #519
bur
 
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79*6581e-4;3*2539e-3

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Nothing interesting found:



10e6-11e6, incr=420, P=5M, nq=5^6
Best poly: 3.380e-15
Took 590000 thread-s
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Old 2021-09-04, 13:12   #520
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Quote:
Originally Posted by VBCurtis View Post
Between this and the Cunningham 3,748+ C204, one should go to f-small and the other should be a team sieve. Which should be which? My vote is to team-sieve the C204 because Cunningham numbers get wide client-interest, but it's not a strong opinion.
Inclined to agree, though if Oliver is hosting the final decision is up to him.
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Old 2021-09-05, 17:35   #521
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My search finished with a 3.6 handle. Officially done searching.
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Old 2021-09-05, 17:35   #522
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In the BOINC NFS sieving thread, there is also a C208 that is getting discussed for a team sieve? But I guess this would be a too heavy lift for a "first time" hosting a team sieve.

I have nothing for and nothing against each of the three numbers; but I guess we need to do msieve post processing for the C204 because the machine is limited to 64 GB RAM and the C201 already needed an estimated 32 GB with msieve, IIRC.

I'd like to host one of them; I will adopt your proposal which one.
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Old 2021-09-05, 21:34   #523
VBCurtis
 
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We would need quite a lot of extra sieving to get a matrix under 32GB in memory footprint; if you have 64, you're going to be fine (possibly with CADO, definitely with msieve).

Barring any new voices objecting, we will put this aliquot number on f-small and the C204 with you hosting a team sieve. Future team sieve discussion can be on the 3,748+ thread.
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Old 2021-09-06, 04:11   #524
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If it would help, I could do the postprocessing of one of them either on gpus or on the A64FX cluster.
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Old 2021-09-06, 21:00   #525
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Quote:
Originally Posted by VBCurtis View Post
We would need quite a lot of extra sieving to get a matrix under 32GB in memory footprint; if you have 64, you're going to be fine (possibly with CADO, definitely with msieve).

Barring any new voices objecting, we will put this aliquot number on f-small and the C204 with you hosting a team sieve. Future team sieve discussion can be on the 3,748+ thread.
I’ll test sieve this aliquot job (C201_3366_2233) and post it in the 16f_small queue management thread.
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