What steps will reproduce the problem? 1. build and install pyrit 2. build and install cpyrit_cuda 3. cd ~; pyrit benchmark

What is the expected output? What do you see instead?

I expected this 'Nvidia Quadro FX 360M' to deliver more then the SSE2 dual-core (intel T7500)

What version of the product are you using? On what operating system?

SVN version on Debian Wheezy as package from repo has no cuda/opencl supplied.

Please provide any additional information below.

None avaailable at this time.

Comment deleted

Seems similar to issue 122

Tried by setting list_ncpus = '1' in cpyrit/config.py since this is a dual-core machine

** results are below **

pyrit benchmark Pyrit 0.4.1-dev (svn r308) (C) 2008-2011 Lukas Lueg http://pyrit.googlecode.com This code is distributed under the GNU General Public License v3+

Calibrating... Running benchmark (831.1 PMKs/s)... -

Computed 831.07 PMKs/s total.

1: 'CUDA-Device #1 'Quadro FX 360M'': 509.9 PMKs/s (RTT 3.0)

2: 'CPU-Core (SSE2)': 410.4 PMKs/s (RTT 2.9)

Just verified, hyper-threading is disabled. Validated cores vs siblings on output of /proc/cpuinfo to be equal. Used http://dag.wieers.com/blog/is-hyper-threading-enabled-on-a-linux-system as reference.

increasing limit_ncpus in ./cpyrit/config.py does not have any reliable effect but shows mimal increase in PMKs processed