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Message-Id: <88B70B10-F4E4-4551-9D1E-D5414112C8D4@gmail.com>
Date: Sun, 22 Sep 2013 14:15:32 -0400
From: kzug <kzug10@...il.com>
To: john-users@...ts.openwall.com
Subject: Re: problem with john-cuda and osx
Please don't quote me but:
There is a similar issue on Pyrit w/ Retina MBPs.
The out of Memory issue is resolved by UNchecking the box of Automatic Graphics Switching, under Sys pref, energy saver
It may be worth a try if you have that option on your MacPro
Hope it helps
K.
On SundaySep 22, 2013, at 7:43 AM, luka wrote:
> hi all,
> I'm getting "out of memory" error while running
> $./john --format=wpapsk-cuda --test
>
> Benchmarking: WPA-PSK PBKDF2-HMAC-SHA-1 [CUDA]... out of memory in wpapsk.cu at line 232
>
>
> my setup is
>
>
> John the Ripper password cracker, ver: 1.7.9-jumbo-7 [macosx-x86-64-cuda]
>
> $which nvcc
> /Developer/NVIDIA/CUDA-5.5/bin/nvcc
>
> also, symoblic links are present in /usr/local/cuda/ that point to above
>
> lrwxr-xr-x 1 root wheel 35B Sep 20 17:26 EULA.txt -> /Developer/NVIDIA/CUDA-5.5/EULA.txt
> lrwxr-xr-x 1 root wheel 30B Sep 20 17:26 bin -> /Developer/NVIDIA/CUDA-5.5/bin
> lrwxr-xr-x 1 root wheel 30B Sep 20 17:26 doc -> /Developer/NVIDIA/CUDA-5.5/doc
> lrwxr-xr-x 1 root wheel 33B Sep 20 17:26 extras -> /Developer/NVIDIA/CUDA-5.5/extras
> lrwxr-xr-x 1 root wheel 34B Sep 20 17:26 include -> /Developer/NVIDIA/CUDA-5.5/include
> drwxr-xr-x 28 root wheel 952B Sep 22 12:53 lib
> lrwxr-xr-x 1 root wheel 36B Sep 20 17:26 libnsight -> /Developer/NVIDIA/CUDA-5.5/libnsight
> lrwxr-xr-x 1 root wheel 34B Sep 20 17:26 libnvvp -> /Developer/NVIDIA/CUDA-5.5/libnvvp
> lrwxr-xr-x 1 root wheel 31B Sep 20 17:26 nvvm -> /Developer/NVIDIA/CUDA-5.5/nvvm
> lrwxr-xr-x 1 root wheel 33B Sep 20 17:26 open64 -> /Developer/NVIDIA/CUDA-5.5/open64
> lrwxr-xr-x 1 root wheel 34B Sep 20 17:26 samples -> /Developer/NVIDIA/CUDA-5.5/samples
> lrwxr-xr-x 1 root wheel 30B Sep 20 17:26 src -> /Developer/NVIDIA/CUDA-5.5/src
> lrwxr-xr-x 1 root wheel 32B Sep 20 17:26 tools -> /Developer/NVIDIA/CUDA-5.5/tools
>
>
>
> $./john --list=cuda-devices
>
> 1 CUDA devices found:
>
> CUDA Device #0
> Name: GeForce 8800 GT
> Compute capability: sm_11
> Number of multiprocessors: 14
> Clock rate: 1464 Mhz
> Total global memory: 702.7 MB
> Total shared memory per block: 16.0 kB
> Total constant memory: 64.0 kB
> Kernel execution timeout: Yes
> Concurrent copy and execution: Yes
> Concurrent kernels support: No
> Warp size: 32
>
> hope somebody can help
> thx in advance
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