View Single Post
Old 2018-10-05, 20:23   #2912
TheJudger
 
TheJudger's Avatar
 
"Oliver"
Mar 2005
Germany

33×41 Posts
Default Initial Turing benchmarks (RTX 2080Ti)

Hello,

finally I was able to put my hands on a Turing (RTX 20x0 series) card. Because of this I was excited and I was right, Turing is a beast for mfaktc.

Unmodified mfaktc 0.21 sources (just adjusted the Makefile) + CUDA 10.0.130 on Linux:
Code:
# ./mfaktc.exe -tf 66362159 73 74
mfaktc v0.21 (64bit built)
[...]
CUDA device info
  name                      GeForce RTX 2080 Ti
  compute capability        7.5
  max threads per block     1024
  max shared memory per MP  65536 byte
  number of multiprocessors 68
  clock rate (CUDA cores)   1635MHz
  memory clock rate:        7000MHz
  memory bus width:         352 bit
[...]
got assignment: exp=66362159 bit_min=73 bit_max=74 (28.83 GHz-days)
Starting trial factoring M66362159 from 2^73 to 2^74 (28.83 GHz-days)
 k_min =  71160531149400
 k_max =  142321062305090
Using GPU kernel "barrett76_mul32_gs"
Date    Time | class   Pct |   time     ETA | GHz-d/day    Sieve     Wait
Oct 05 22:12 |    0   0.1% |  0.630  10m04s |   4118.14    82485    n.a.%
Oct 05 22:12 |    4   0.2% |  0.563   8m59s |   4608.22    82485    n.a.%
Oct 05 22:12 |    9   0.3% |  0.562   8m58s |   4616.42    82485    n.a.%
[...]
Oct 05 22:21 | 4612  99.9% |  0.599   0m01s |   4331.27    82485    n.a.%
Oct 05 22:21 | 4617 100.0% |  0.600   0m00s |   4324.05    82485    n.a.%
no factor for M66362159 from 2^73 to 2^74 [mfaktc 0.21 barrett76_mul32_gs]
tf(): total time spent:  9m 30.800s
This is a founders editions card, starting with a cold card. Power draw is ~260W on average so limited by power target. Temperature is a bit below 80°C and average clock is about 1680MHz once the card is "hot".

New performance king but slightly behind Tesla V100 in terms of energy efficency.

Oliver
TheJudger is offline   Reply With Quote