I got it to work, like earlier this week, by not installing the linux headers now.
Code:
root@kali:~/NVIDIA_CUDA-6.5_Samples/1_Utilities/deviceQuery# optirun ./deviceQuery
./deviceQuery Starting...
CUDA Device Query (Runtime API) version (CUDART static linking)
Detected 1 CUDA Capable device(s)
Device 0: "GeForce GT 630M"
CUDA Driver Version / Runtime Version 7.0 / 6.5
CUDA Capability Major/Minor version number: 2.1
Total amount of global memory: 2048 MBytes (2147155968 bytes)
( 2) Multiprocessors, ( 48) CUDA Cores/MP: 96 CUDA Cores
GPU Clock rate: 950 MHz (0.95 GHz)
Memory Clock rate: 900 Mhz
Memory Bus Width: 128-bit
L2 Cache Size: 131072 bytes
Maximum Texture Dimension Size (x,y,z) 1D=(65536), 2D=(65536, 65535), 3D=(2048, 2048, 2048)
Maximum Layered 1D Texture Size, (num) layers 1D=(16384), 2048 layers
Maximum Layered 2D Texture Size, (num) layers 2D=(16384, 16384), 2048 layers
Total amount of constant memory: 65536 bytes
Total amount of shared memory per block: 49152 bytes
Total number of registers available per block: 32768
Warp size: 32
Maximum number of threads per multiprocessor: 1536
Maximum number of threads per block: 1024
Max dimension size of a thread block (x,y,z): (1024, 1024, 64)
Max dimension size of a grid size (x,y,z): (65535, 65535, 65535)
Maximum memory pitch: 2147483647 bytes
Texture alignment: 512 bytes
Concurrent copy and kernel execution: Yes with 1 copy engine(s)
Run time limit on kernels: Yes
Integrated GPU sharing Host Memory: No
Support host page-locked memory mapping: Yes
Alignment requirement for Surfaces: Yes
Device has ECC support: Disabled
Device supports Unified Addressing (UVA): Yes
Device PCI Bus ID / PCI location ID: 1 / 0
Compute Mode:
< Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >
deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 7.0, CUDA Runtime Version = 6.5, NumDevs = 1, Device0 = GeForce GT 630M
Result = PASS
root@kali:~/pyrit_svn/cpyrit_cuda# optirun 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+
Running benchmark (10664.1 PMKs/s)... \
Computed 10664.15 PMKs/s total.
#1: 'CUDA-Device #1 'GeForce GT 630M'': 7530.0 PMKs/s (RTT 2.8)
#2: 'CPU-Core (SSE2/AES)': 520.8 PMKs/s (RTT 3.0)
#3: 'CPU-Core (SSE2/AES)': 523.4 PMKs/s (RTT 3.0)
#4: 'CPU-Core (SSE2/AES)': 520.0 PMKs/s (RTT 3.0)
#5: 'CPU-Core (SSE2/AES)': 523.1 PMKs/s (RTT 3.0)
#6: 'CPU-Core (SSE2/AES)': 536.0 PMKs/s (RTT 3.0)
#7: 'CPU-Core (SSE2/AES)': 521.2 PMKs/s (RTT 3.0)
#8: 'CPU-Core (SSE2/AES)': 522.2 PMKs/s (RTT 3.0)
Session.Name...: cudaHashcat
Status.........: Exhausted
Input.Base.....: Mask (?a?a?a?a) [4]
Input.Mod......: File (example.dict)
Hash.Target....: File (example0.hash)
Hash.Type......: MD5
Time.Started...: 0 secs
Time.Estimated.: 0 secs
Speed.GPU.#1...: 40758.5 kH/s
Recovered......: 2190/6494 (33.72%) Digests, 0/1 (0.00%) Salts
Progress.......: 136302297088/136302297088 (100.00%)
Skipped........: 0/136302297088 (0.00%)
Rejected.......: 0/136302297088 (0.00%)
HWMon.GPU.#1...: -1% Util, 67c Temp, -1% Fan
Started: Sat Feb 21 20:19:07 2015
Stopped: Sat Feb 21 20:33:10 2015
all that is missing is a voodoo doll to make this really weird.
Originally Posted by Hun75m4n
