[root@localhost ~]# pyrit list_cores
Pyrit 0.2.3-dev (C) 2008, 2009 Lukas Lueg http://pyrit.googlecode.com
This code is distributed under the GNU General Public License v3
The following cores seem available…
#1: ‘CPU-Core (x86_64)’
#2: ‘CUDA-Device #1 ‘GeForce GTX 295”
#3: ‘CUDA-Device #2 ‘GeForce GTX 295”
#4: ‘CUDA-Device #3 ‘GeForce GTX 295”
#5: ‘CUDA-Device #4 ‘GeForce GTX 295”
#6: ‘CUDA-Device #5 ‘GeForce GTX 295”
#7: ‘CUDA-Device #6 ‘GeForce GTX 295”
#8: ‘CUDA-Device #7 ‘GeForce GTX 295”
#9: ‘CUDA-Device #8 ‘GeForce GTX 295”
[root@localhost ~]# pyrit benchmark
Pyrit 0.2.3-dev (C) 2008, 2009 Lukas Lueg http://pyrit.googlecode.com
This code is distributed under the GNU General Public License v3
Running benchmark for at least 60 seconds…
CUDA-Device #1 ‘GeForce GTX 295′: 10517.60 PMKs/s, 97.90% occupancy
CUDA-Device #2 ‘GeForce GTX 295′: 10645.91 PMKs/s, 95.12% occupancy
CUDA-Device #3 ‘GeForce GTX 295′: 10532.52 PMKs/s, 92.92% occupancy
CUDA-Device #4 ‘GeForce GTX 295′: 10574.52 PMKs/s, 94.16% occupancy
CUDA-Device #5 ‘GeForce GTX 295′: 10580.90 PMKs/s, 94.10% occupancy
CUDA-Device #6 ‘GeForce GTX 295′: 10575.25 PMKs/s, 94.69% occupancy
CUDA-Device #7 ‘GeForce GTX 295′: 10656.41 PMKs/s, 98.21% occupancy
CUDA-Device #8 ‘GeForce GTX 295′: 10635.27 PMKs/s, 94.68% occupancy
Benchmark done. 84718.38 PMKs/s total.
[required] Those are four Dual-GPU GTX295 that get reported as eight devices [/required]
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Astonishing.
$ pyrit benchmark
Pyrit 0.2.3-dev (C) 2008, 2009 Lukas Lueg http://pyrit.googlecode.com
This code is distributed under the GNU General Public License v3
The ESSID-blobspace seems to be empty; you should create an ESSID…
Running benchmark for at least 60 seconds…
CUDA-Device #1 ‘Tesla C1060′: 10941.31 PMKs/s, (97.45% occupancy)
CUDA-Device #2 ‘Tesla C1060′: 11093.66 PMKs/s, (95.59% occupancy)
CUDA-Device #3 ‘Tesla C1060′: 10860.51 PMKs/s, (96.58% occupancy)
CUDA-Device #4 ‘Tesla C1060′: 10884.33 PMKs/s, (96.37% occupancy)
CUDA-Device #5 ‘Tesla C1060′: 10952.26 PMKs/s, (95.77% occupancy)
CUDA-Device #6 ‘Tesla C1060′: 10973.44 PMKs/s, (96.64% occupancy)
CUDA-Device #7 ‘GeForce 8400 GS’: 588.04 PMKs/s, (98.01% occupancy)
CUDA-Device #8 ‘Tesla C1060′: 11024.96 PMKs/s, (96.19% occupancy)
CUDA-Device #9 ‘Tesla C1060′: 10862.93 PMKs/s, (97.09% occupancy)
Benchmark done. 88181.45 PMKs/s total.
Amazing system performance ! Could you describe the hardware setup you have to fit in those 4xGTX295 ? In particular, what motherboard do you use ?
Hi,
It’s Asrock SuperComputer X58 motherboard. With Quad core CPU (don’t remember what model exactly). No other special HW. There are serious issues with coolong, but it’s just a proof of concept for me, so I don’t worry that much about it.
If you need more info concerning hardware, I can answer more questions in about 2 weeks, I’m out for vacations now.
Wow. incredible.
Hi,
Can you specific which desktop computer you got?
Did you just buy the cards seperate or it was all from the desktop vendor?
What about the tesla ones are they better / cheaper?
and will more than 4x fit?
how much ram do you have in it and what do you do for all the cooling?
Hello Benj,
1) These are cards I bought (I actually borrowed them) separately from the PC. Haven’t tried tesla (no access to such hw). I think they are much more expensive…
2) It’s 2GB of RAM if I remember. Cooling is a thing I haven’t solved nicely. It’s a proof of concept, It doesn’t need to be perfect for me. I try not to overheat it, i’ve just put several (4-5) standard fans inside.
[...] man can always dream… That there is about 3000 euros worth of hardware (four Nvidia GTX295’s, a motherboard to [...]