If you look at the benchmark test the 8800M GT is getting about 1000 pmk's per second. I'm not sure how you card compares to that one but I assume its a earlier version.
I had some more success with a 8600M GS, I was able to modify the clocks in the bios, allowing me to overclock the card giving me some better results, unfortunately it still is nothing compared to some of the numbers being put up here. There can't be that much difference between the cards can there? Is mine using pyrit at 2D clocks instead of 3D?
3D at 650/1300/500
2D at 275/550/200
I saw there was someone else with this card check out if you're using it with an HP dv9500/9700Code:Available cores: 'Standard CPU', 'Nvidia CUDA' Testing CPU-only core 'Standard CPU' (2 CPUs)... 268.75 PMKs/s Testing GPU core 'Nvidia CUDA' (Device 'GeForce 8600M GS')... 820.54 PMKs/s
You're probably right; you think you have something good/great, and then Moore's Law kicks you in the ass.
Wikipedia has good specs tables for almost all Nvidia cards (8600M is towards the bottom of the page)
"You shot who in the what now?"
Today I finally got around to looking at this with a couple of machines.
The first is a new machine I've just built. I can get more out of this machine as when I find the time.
The second is HP DV3 Laptop.Code:Available cores: 'Standard CPU', 'Nvidia CUDA' Testing CPU-only core 'Standard CPU' (4 CPUs)... 987.87 PMKs/s (Q6600) Testing GPU core 'Nvidia CUDA' (Device 'GeForce GTX 280')... 10092.03 PMKs/s
I'm hoping to get over to a friends at the weekend and try out his triple 280 sli with the latest version of pyrit.Code:Available cores: 'Standard CPU', 'Nvidia CUDA' Testing CPU-only core 'Standard CPU' (2 CPUs)... 362.22 PMKs/s (T5800) Testing GPU core 'Nvidia CUDA' (Device 'GeForce 9300M GS')... 480.65 PMKs/s
"I do not know with what weapons World War III will be fought, but World War IV will be fought with sticks and stones."
Hi i have been having trouble with this installation also I get the following errors:
I have 3 GTX 260 and when i start nvidia-settings I only see 2 out of the 3 cards I have tried installing the 180.22 driver over again and still no luck...Code:root@bt:/pentest/password/pyrit# python pyrit.py benchmark NVIDIA: could not open the device file /dev/nvidia2 (Input/output error). The Pyrit commandline-client (C) 2008 Lukas Lueg This code is distributed under the GNU General Public License v3 The ESSID-blobspace seems to be empty; you should create an ESSID... Traceback (most recent call last): File "pyrit.py", line 863, in <module> p.init() File "pyrit.py", line 98, in init }.setdefault(commands if len(commands) > 0 else 'help', self.print_help)() File "pyrit.py", line 370, in benchmark c = cpyrit.CPyrit(ncpus = self.options.ncpus) TypeError: __init__() got an unexpected keyword argument 'ncpus'
any help greatly appreciated
I was told in the CUDA irc channel by the cuda ninjas that if your cards are in SLI it will massively decrease the cuda capabilities. Multiple cards in fine but if thew are running in SLI its bad apparently.
Pyrit's author reports a new record. The crunching proceeded with a pair of GTX-295's and CPU core(s) hitting clean-up. The numbers are astonishing.
Ok thats cool i figured that but does that mean just disable SLI in the xorg file or take the 3 way bridge off that connects all 3 of the videocards together? But thanks I will install the latest nvidia cuda driver, the tool kit, and the 3 way bridge and ill let yall know how it goes...