CUDA_weak_RSA_keys_breaker

Install Nvidia drivers and CUDA toolkit 6.5 on Ubuntu 16.04 for GT216M [NVS 5100M] : Driver:

1. Check name of nvidia product that you have: lspci | grep -i nvidia
2. Select appropiate driver based on above result of command http://www.nvidia.com/Download/index.aspx
3. Download driver (version 340.102 for GT216M [5100M] - http://www.nvidia.com/download/driverResults.aspx/114719/en-us).
4. Go to console mode using Alt+Ctrl+F1 and type: sudo service lightdm stop to diable ubuntu GUI
5. In directory where downloaded driver is located type: chmod +x NVIDIA[TAB] (for GT216M: chmod +x NVIDIA-Linux-x86_64-340.102.run)
6. Install by typing: ./NVIDIA[TAB] (or GT216M: ./NVIDIA-Linux-x86_64-340.102.run)
7. Type: sudo service lightdm start to enable GUI and Go to GUI mode using Alt+Ctrl+F7

Information about Nvidia products and drivers: https://docs.parrotsec.org/doku.php/nvidia-drivers

CUDA:

Check which version of CUDA you need: https://en.wikipedia.org/wiki/CUDA in section named: "GPUs supported". For example for GT216M [NVS 5100M] CUDA version is 6.5, because compute capability is 1.2. In below steps CUDA 6.5 will be installed:

1. Download CUDA 6.5 for linux 64-bit from this site: https://developer.nvidia.com/cuda-toolkit-65
2. In directory where downloaded CUDA installer type: chmod +x cuda_6.5.14_linux_64.run or
3. Install by typing: ./cuda_6.5.14_linux_64.run -toolkit -samples -silent -override
4. Add libraries to PATH: export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda/lib64
5. Add cuda binaries to PATH: export PATH=$PATH:/usr/local/cuda/bin
6. Check nvcc version to verify is everything is right: nvcc -V

Your changes in PATH and LD_LIBRARY_PATH enviroment are memorized only in current session. You can change enviroment for any session by adding: PATH="$PATH:/usr/local/cuda/bin" LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda/lib64 in ~/.profile file.

Make and run example:

Type to change samples owner: sudo chown user_name /usr/local/cuda/samples -R (user_name must be changed)

1. cd /usr/local/cuda/samples/1_Utilities/deviceQuery
2. make
3. ./deviceQuery

When everything is OK you see:

./deviceQuery Starting...

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

Detected 1 CUDA Capable device(s)

Device 0: "NVS 5100M"
CUDA Driver Version / Runtime Version 6.5 / 6.5
CUDA Capability Major/Minor version number: 1.2
Total amount of global memory: 1024 MBytes (1073414144 bytes)
( 6) Multiprocessors, ( 8) CUDA Cores/MP: 48 CUDA Cores
GPU Clock rate: 1210 MHz (1.21 GHz)
Memory Clock rate: 790 Mhz
Memory Bus Width: 128-bit
Maximum Texture Dimension Size (x,y,z) 1D=(8192), 2D=(65536, 32768), 3D=(2048, 2048, 2048)
Maximum Layered 1D Texture Size, (num) layers 1D=(8192), 512 layers
Maximum Layered 2D Texture Size, (num) layers 2D=(8192, 8192), 512 layers
Total amount of constant memory: 65536 bytes
Total amount of shared memory per block: 16384 bytes
Total number of registers available per block: 16384
Warp size: 32
Maximum number of threads per multiprocessor: 1024
Maximum number of threads per block: 512
Max dimension size of a thread block (x,y,z): (512, 512, 64)
Max dimension size of a grid size (x,y,z): (65535, 65535, 1)
Maximum memory pitch: 2147483647 bytes
Texture alignment: 256 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): No
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 = 6.5, CUDA Runtime Version = 6.5, NumDevs = 1, Device0 = NVS 5100M
Result = PASS

Problems which may occur:

1. /usr/local/cuda-5.5//bin/..//include/host_config.h:82:2: error: #error -- unsupported GNU version! gcc 4.9 and up are not supported! - Solution:
   sudo apt-get install gcc-4.8 g++-4.8
   sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-4.8 50
   sudo update-alternatives --install /usr/bin/g++ g++ /usr/bin/g++-4.8 50
   
   

or

delete or comment this line in "host_config.h" file.

Source: cbuchner1/CudaMiner#155

2. Missing libraries: Missing recommended library: libGLU.so
   Missing recommended library: libXi.so
   Missing recommended library: libXmu.so
   
   

Just type: apt-get install libglu1-mesa libxi-dev libxmu-dev libglu1-mesa-dev
Source: https://stackoverflow.com/questions/22360771/missing-recommended-library-libglu-so

3. Xorg system error: sudo echo -e 'Section "Device"\n\tIdentifier "My GPU"\n\tDriver "nvidia"\nEndSection' > /etc/X11/xorg.conf.d/20-nvidia.conf

4. After login system return login screen again. [LOGIN LOOP]

This problem occurs when you update linux. You should check nvidia driver using nvidia-smi. When nvidia's drivers are lost you need install drivers and CUDA again.

To unistall nvidia drivers and cuda - useful commands:

sudo apt-get purge nvidia*
sudo apt-get purge nvidia-cuda*
sudo apt-get remove nvidia-cuda-toolkit
sudo apt-get remove --auto-remove nvidia-cuda-toolkit
sudo apt-get purge --auto-remove nvidia-cuda-toolkit

System details:

$uname -a:

Linux pkarbownik-EliteBook 4.4.0-79-lowlatency #100-Ubuntu SMP PREEMPT Wed May 17 20:56:57 UTC 2017 x86_64 x86_64 x86_64 GNU/Linux

$gcc --version:

gcc (Ubuntu 5.4.1-2ubuntu1~16.04) 5.4.1 20160904 Copyright (C) 2015 Free Software Foundation, Inc. This is free software; see the source for copying conditions. There is NO warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.