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Thread: (Guide) Installing Nvidia + Bumblebee + CUDA for Optimus enabled Laptops

  1. #371
    Junior Member
    Join Date
    Dec 2016
    Posts
    5
    Quote Originally Posted by unknown1995 View Post
    This tutorial works on kali 2016.2 rolling and both nvidia and Cuda will install
    PROBLEM THAT MAY ARISE WHILE INSTALLING
    - bumblebee dont start itself
    ---- bumblebeed -D (to start it)
    - Cuda installation problem(i installed it from run file)
    -----libXi.so file missing
    ---sudo ln -s /usr/lib/x86_64-linux-gnu/libXi.so /usr/lib/libXi.so (jjust create link)
    -----Can't locate InstallUtils.pm in @INC
    ---Do this it will work
    1. unpack .run file ./cuda*.run --tar mxvf
    2. copy InstallUtils.pm to /usr/lib/x86_64-linux-gnu/perl-base
    3. export $PERL5LIB

    Follow the steps provided in tutorial it will work
    This is tempting but I'm a bit hesitant only because thrice it has forced me to completely reinstall Kali, my own fault for not creating a backup but I've hit a wall when it won't install the dep as well. I don't recall the repo source I used to get dep to install. Even though it worked once, I never was able to get it to set my Nvidia card as the main card for use.

  2. #372
    Junior Member
    Join Date
    Nov 2016
    Posts
    22
    I had a 2010's GPU (a 330m notebook) does the cuda toolkit 7.5 support it?...The appropriate driver should be version 340.xx and on Nvidia page is listed they supports cuda toolkit 6.5

  3. #373
    Junior Member
    Join Date
    Jul 2015
    Posts
    6
    I succesfully installed Nvidia driver with Bumblebee and CUDA 8.0 but when I try to run optirun hashcat -b I get this error:

    hashcat (v3.30) starting in benchmark mode...

    clGetDeviceIDs(): CL_DEVICE_NOT_FOUND

    clGetDeviceIDs(): CL_DEVICE_NOT_FOUND

    No devices found/left

    Started: Fri Feb 24 16:01:02 2017
    Stopped: Fri Feb 24 16:01:02 2017
    optirun glxgears output:

    14130 frames in 5.0 seconds = 2825.824 FPS
    optirun ./deviceQuery output:

    ./deviceQuery Starting...

    CUDA Device Query (Runtime API) version (CUDART static linking)

    Detected 1 CUDA Capable device(s)

    Device 0: "GeForce GT 750M"
    CUDA Driver Version / Runtime Version 8.0 / 8.0
    CUDA Capability Major/Minor version number: 3.0
    Total amount of global memory: 4038 MBytes (4233953280 bytes)
    ( 2) Multiprocessors, (192) CUDA Cores/MP: 384 CUDA Cores
    GPU Max Clock rate: 1085 MHz (1.09 GHz)
    Memory Clock rate: 900 Mhz
    Memory Bus Width: 128-bit
    L2 Cache Size: 262144 bytes
    Maximum Texture Dimension Size (x,y,z) 1D=(65536), 2D=(65536, 65536), 3D=(4096, 4096, 4096)
    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: 65536
    Warp size: 32
    Maximum number of threads per multiprocessor: 2048
    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): (2147483647, 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 Domain ID / Bus ID / location ID: 0 / 1 / 0
    Compute Mode:
    < Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >

    deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 8.0, CUDA Runtime Version = 8.0, NumDevs = 1, Device0 = GeForce GT 750M
    Result = PASS

  4. #374
    Junior Member
    Join Date
    Nov 2015
    Posts
    5
    Try hashcat 3.10

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