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drummers-lowrise
11) Message boards : Number crunching : LLR 3.8.23 released (Message 128752)
Posted 312 days ago by Profile chip
PPSE (LLR) WINX64 i7-8700K @ 4.0GHz 1.128V (GPU off)

Standart 3.8.21:
LLR Program - Version 3.8.21, using Gwnum Library Version 28.14 Using all-complex FMA3 FFT length 120K, Pass1=384, Pass2=320, a = 17

Run time (sec) = 588-589
Power = 92.0W

Last 3.8.23:
LLR Program - Version 3.8.23, using Gwnum Library Version 29.8 Using all-complex FMA3 FFT length 120K, Pass1=384, Pass2=320, clm=4, a = 5

Run time (sec) = 573-574
Power = 93.5W

P.S. 6 tasks run simultaneously on odd cores
12) Message boards : Number crunching : Badges III (Message 128471)
Posted 326 days ago by Profile chip
13) Message boards : Number crunching : Badges III (Message 128231)
Posted 334 days ago by Profile chip
14) Message boards : Number crunching : GTX 1660 Ti performance (Message 127518)
Posted 357 days ago by Profile chip
NVIDIA GeForce GTX 1080 Ti (4095MB) driver: 41735
AP27: 760sec (1900MHz)
CPU: i7-8700K SR5 -t 6
15) Message boards : General discussion : Extra column on the badges page? (Message 126768)
Posted 372 days ago by Profile chip
Hey Michael et al.

Any chance you could add an extra column to the 'badges' page to show 'position' relative to credit earned
eg. Sob LLR 1,234,567 Amethist 2,000,000 Ruby 765,433 1,234th place

Just asking?

https://stats.free-dc.org/user/pgrid/984171
16) Message boards : Number crunching : Badges III (Message 126647)
Posted 374 days ago by Profile chip

GFN-22 sieve thx!
17) Message boards : Generalized Fermat Prime Search : DO YOU FEEL LUCKY? (Message 126279)
Posted 379 days ago by Profile chip
Waiting for NVIDIA Tesla V100-SXM2-16GB result...
18) Message boards : Number crunching : Credit Milestones (Message 125133)
Posted 395 days ago by Profile chip
100M
19) Message boards : 321 Prime Search : 321 Sieve (Message 124593)
Posted 406 days ago by Profile chip
Soon...

20) Message boards : Sieving : RTX 2080 Sieving Performance (Message 124207)
Posted 412 days ago by Profile chip
For GFN18 and GFN19 two or more instances required and each utilize 100% cpu core. But GFN22 usually run in one instance an utilize ~20% cpu core.


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