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JPaulMora
How to Install Pyrit Cuda + Toolkit 8 + Nvidia GTX 1070 in Kali Linux 2017.1
Install Kali Linux 2017.1 + Nvidia GTX-1070 drivers + Toolkit 8 + Pyrit Cuda for computing Gpu Cores
Descargar y dar permisos
https://developer.nvidia.com/cuda-downloads
chmod +x cuda_8.0.61_375.26_linux.run
http://www.nvidia.com/download/index.aspx?lang=es
chmod +x NVIDIA-Linux-x86_64-375.66.run
Editar fuentes
leafpad /etc/apt/sources.list
deb http://http.kali.org/kali kali-rolling main non-free contrib
deb-src http://http.kali.org/kali kali-rolling main non-free contrib
Actualizar distro e instalar headers
apt-get update
apt-get dist-upgrade
apt-get install -y linux-headers-$(uname -r)
Desactivar driver nouveau y actualizar grub
sed 's/quiet/quiet nouveau.modeset=0/g' -i /etc/default/grub
update-grub
reboot
Modo consola sin entorno grafico
ctrl+alt+f3
login como root
Instalar driver nvidia
./NVIDIA-Linux-x86_64-375.66.run
update-grub
reboot
Instalar cuda toolkit
export PERL5LIB=.
./cuda_8.0.61_375.26_linux.run --override
Muestra paths
ldconfig -v 2>/dev/null | grep -v ^$'\t'
Editar config paths
leafpad /etc/ld.so.conf
## incluir esta linea en ld.so.conf
/usr/local/cuda-8.0/lib64
Instala librerias
apt-get install python2.7-dev libssl-dev zlib1g-dev libpcap-de
Clonar repositorio
git clone https://github.com/JPaulMora/Pyrit.git
Construir instalador e instalar
python setup.py clean build install
Activar CUDA en config
leafpad /root/.pyrit/config
use_CUDA = true
pyrit list_cores
pyrit benchmark
Computed 118727.81 PMKs/s total.
#1: 'CPU-Core (SSE2/AES)': 570.0 PMKs/s (RTT 2.9)
#2: 'CPU-Core (SSE2/AES)': 563.3 PMKs/s (RTT 3.0)
#3: 'CPU-Core (SSE2/AES)': 575.7 PMKs/s (RTT 3.0)
#4: 'CPU-Core (SSE2/AES)': 578.7 PMKs/s (RTT 3.0)
#5: 'CPU-Core (SSE2/AES)': 567.0 PMKs/s (RTT 3.0)
#6: 'CPU-Core (SSE2/AES)': 535.9 PMKs/s (RTT 2.9)
#7: 'CPU-Core (SSE2/AES)': 551.7 PMKs/s (RTT 2.9)
#8: 'CPU-Core (SSE2/AES)': 560.9 PMKs/s (RTT 3.1)
CUDA:
#1: 'CUDA-Device #1 'GeForce GTX 1070'': 127866.4 PMKs/s (RTT 1.0)
Thanks, I'll edit nvcc_cmd = NVCC + bit_flag + ' -ccbin clang' ' ./_cpyrit_cudakernel.cu' directly in the source
Thanks and sorry this is the correct code else errors.
nvcc_cmd = NVCC + bit_flag + ' -ccbin clang'\
' -Xcompiler "-fPIC" --ptx' \
' ./_cpyrit_cudakernel.cu'
all works well but I cannot install toolkit its been a while that I am trying to install it at every end it shows same missing library message which wasnt there before 8.0 version sadly not even cuda 7.5 is working anymore gives the same error any help/suggestions ?
Description
This package includes over 100+ CUDA examples that demonstrate various CUDA programming principles, and efficient CUDA implementation of algorithms in specific application domains. The NVIDIA CUDA Samples License Agreement is available in Chapter 2. Do you accept the previously read EULA? accept/decline/quit: accept
You are attempting to install on an unsupported configuration. Do you wish to continue? (y)es/(n)o [ default is no ]: y
Install NVIDIA Accelerated Graphics Driver for Linux-x86_64 375.26? (y)es/(n)o/(q)uit: n
Install the CUDA 8.0 Toolkit? (y)es/(n)o/(q)uit: y
Enter Toolkit Location [ default is /usr/local/cuda-8.0 ]:
Do you want to install a symbolic link at /usr/local/cuda? (y)es/(n)o/(q)uit: y
Install the CUDA 8.0 Samples? (y)es/(n)o/(q)uit: y
Enter CUDA Samples Location [ default is /root ]:
Installing the CUDA Toolkit in /usr/local/cuda-8.0 ... Missing recommended library: libXi.so Missing recommended library: libXmu.so
Warning: cannot find Toolkit in /usr/local/cuda-8.0. Use --toolkitpath to specify the toolkit location. Installing the CUDA Samples in /root ... sh: 1: /usr/local/cuda-8.0/bin/cuda-install-samples-8.0.sh: not found chown: cannot access '/root/NVIDIA_CUDA-8.0_Samples': No such file or directory
=========== = Summary =
Driver: Not Selected Toolkit: Installation Failed Samples: Installation Failed
Logfile is /tmp/cuda_install_2039.log
Weird, this seems like a bug with the toolkit installer.. why don't you try installing from the default repositories for your distro?
download cuda 8 from nvidia develorpers
type:
export PERL5LIB=.
and install cudatoolkit type:
./cuda_8.0.61_375.26_linux.run --override
and acept everythings but not driver because driver nvidia i install previusly
pyrit cudas is working in kali linux 2017.1 and last driver nvidia and toolkit 8.xx i tested and work 100% friend gpu compute aprox 130.000 pmks
Success with the nvidia-cuda-toolkit install from repros on a Dell Latitude Optimus (intel+nvidia) laptop. Clean install of Kali 2017.1 and stay logged into ROOT
Dell Latitude 14 Rugged Extreme (7404) Fourth-generation Intel Core™ i7-4650U @ 4x 3.3GHz GPU #1: Integrated Intel HD Graphics 5000 GPU #2: NVIDIA GeForce GT 720M (DDR3 2GB) discrete graphics with Optimus™
Guides that helped me
- https://forums.kali.org/showthread.php?35748-TUTORIAL-Installing-official-NVIDIA-driver-in-Optimus-laptop&highlight=nvidia
- http://www.hackdig.com/?07/hack-4577.htm
- https://svn.boost.org/trac10/attachment/ticket/11852/float128GccNvcc.patch
Clean Install Kali 2017.3 Kernel 4.13.0-kali1-amd64 and Update
apt update apt upgrade apt autoremove apt -f install apt upgrade
Remove the installed Kali Pyrit
apt remove pyrit
Nvidia Driver prep
Verify nvidia
lspci | grep -E "VGA|3D"
Blacklist Nouveau
echo -e "blacklist nouveau\noptions nouveau modeset=0\nalias nouveau off" > /etc/modprobe.d/blacklist-nouveau.conf
update-initramfs -u && reboot
Verify nouveau is disabled
lsmod | grep -i nouveau
must be a blank return
[2GB install] Automatic Install
apt install nvidia-driver ocl-icd-libopencl1 nvidia-cuda-toolkit
Additional install
apt install mesa-utils nvidia-cuda-gdb nvidia-cuda-doc libssl-dev zlib1g-dev libpcap-dev libgl1-nvidia-glx python2.7-dev python-pycuda-doc python-pycuda python3-pycuda
NEXT
nvidia-xconfig --query-gpu-info | grep 'BusID : ' | cut -d ' ' -f6 PCI:3:0:0
Replace the bold string with your Bus ID and save it to /etc/X11/xorg.conf
gedit /etc/X11/xorg.conf
Section "ServerLayout" Identifier "layout" Screen 0 "nvidia" Inactive "intel" EndSection
Section "Device" Identifier "nvidia" Driver "nvidia" BusID "PCI:3:0:0" EndSection
Section "Screen" Identifier "nvidia" Device "nvidia" Option "AllowEmptyInitialConfiguration" EndSection
Section "Device" Identifier "intel" Driver "modesetting" EndSection
Section "Screen" Identifier "intel" Device "intel" EndSection
Create these two files and add the same script to each
gedit /usr/share/gdm/greeter/autostart/optimus.desktop gedit /etc/xdg/autostart/optimus.desktop
[Desktop Entry]
Type=Application
Name=Optimus
Exec=sh -c "xrandr --setprovideroutputsource modesetting NVIDIA-0; xrandr --auto"
NoDisplay=true
X-GNOME-Autostart-Phase=DisplayServer
Reboot, Pray, Verify
glxinfo | grep -i "direct rendering" yes
Fix screen tearing (optional)
xrandr --verbose|grep PRIME gedit /etc/default/grub
GRUB_CMDLINE_LINUX_DEFAULT="quiet nvidia-drm.modeset=1"
update-grub reboot
xrandr --verbose|grep PRIME All should be 1's <-this just prevents screen tearing
Pyrit prep
Added these lines to the end of .bashrc
gedit /root/.bashrc
PATH=$PATH:/usr/lib/nvidia-cuda-toolkit/bin.
LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/lib/nvidia-cuda-toolkit/lib:/lib
export PATH
export LD_LIBRARY_PATH
Pyrit Install
Extract contents of Pyrit-master.zip to /OPT directory (its just easier)
cd /opt/Pyrit-master/
python setup.py clean build install
Pyrit_Cuda Prep and Install
cd /opt/Pyrit-master/modules/cpyrit_cuda/ gedit setup.py
Edit the setup.py, line 35**,edit it from
for path in ('/usr/local/cuda', '/opt/cuda'):
to
for path in ('/usr/local/cuda','/usr/lib/nvidia-cuda-toolkit','/opt/cuda'):
So the nvcc could be found during the process,then install
Possible Errors
Their could be a possible error when you run the /opt/Pyrit-master/modules/cpyrit_cuda/python setup.py install if you get the bellow error:
usr/bin/../lib/gcc/x86_64-linux-gnu/7.2.0/../../../../include/c++/7.2.0/bits/std_abs.h(101): error: identifier "__float128" is undefined
/usr/bin/../lib/gcc/x86_64-linux-gnu/7.2.0/../../../../include/c++/7.2.0/bits/std_abs.h(102): error: identifier "__float128" is undefined
2 errors detected in the compilation of "/tmp/tmpxft_00005498_00000000-7__cpyrit_cudakernel.cpp1.ii".
in the file /usr/include/c++/7/bits/std_abs.h line 99-104 .
#if !defined(__STRICT_ANSI__) && defined(_GLIBCXX_USE_FLOAT128)
inline _GLIBCXX_CONSTEXPR
__float128
abs(__float128 __x)
{ return __x < 0 ? -__x : __x; }
#endif
I Patched it on line 99 removing the current line and adding the string below in its place
#if defined(_GLIBCXX_USE_FLOAT128) && !defined(__STRICT_ANSI__) && !defined(__CUDACC__)
inline _GLIBCXX_CONSTEXPR
Another Error I have personally experienced with the latest cuda toolkit fir the install for /cpyrit_cuda# python setup.py clean build install
Compiling CUDA module using nvcc 8.0, V8.0.61...
Executing '/usr/local/cuda/bin/nvcc -m64 -ccbin clang -Xcompiler "-fPIC" --ptx ./_cpyrit_cudakernel.cu'
nvcc warning : The 'compute_20', 'sm_20', and 'sm_21' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning).
nvcc fatal : The version ('40001') of the host compiler ('clang') is not supported
Traceback (most recent call last):
File "setup.py", line 170, in
setup(**setup_args)
File "/usr/lib/python2.7/distutils/core.py", line 151, in setup
dist.run_commands()
File "/usr/lib/python2.7/distutils/dist.py", line 953, in run_commands
self.run_command(cmd)
File "/usr/lib/python2.7/distutils/dist.py", line 972, in run_command
cmd_obj.run()
File "/usr/lib/python2.7/distutils/command/build.py", line 128, in run
self.run_command(cmd_name)
File "/usr/lib/python2.7/distutils/cmd.py", line 326, in run_command
self.distribution.run_command(command)
File "/usr/lib/python2.7/distutils/dist.py", line 972, in run_command
cmd_obj.run()
File "setup.py", line 93, in run
subprocess.check_call(nvcc_cmd, shell=True)
File "/usr/lib/python2.7/subprocess.py", line 190, in check_call
raise CalledProcessError(retcode, cmd)
subprocess.CalledProcessError: Command '/usr/local/cuda/bin/nvcc -m64 -ccbin clang -Xcompiler "-fPIC" --ptx ./_cpyrit_cudakernel.cu' returned non-zero exit status 1
The Fix is to
cd /opt/Pyrit/modules/cpyrit_cuda/ gedit setup.py
line 88,edit it from**
nvcc_cmd = NVCC + bit_flag + ' -ccbin clang -Xcompiler "-fPIC" --ptx ./_cpyrit_cudakernel.cu'
to
nvcc_cmd = NVCC + bit_flag + ' -ccbin clang-3.8 -Xcompiler "-fPIC" --ptx ./_cpyrit_cudakernel.cu'
DO NOT FORGET TO:
gedit /root/.pyrit/config
default_storage = file:// limit_ncpus = 0 rpc_announce = true rpc_announce_broadcast = false rpc_knownclients = rpc_server = false use_CUDA = true use_OpenCL = false workunit_size = 75000
RESULTS
root@Kali:/opt/Pyrit-master/modules/cpyrit_cuda% pyrit benchmark Pyrit 0.5.1 (C) 2008-2011 Lukas Lueg - 2015 John Mora https://github.com/JPaulMora/Pyrit This code is distributed under the GNU General Public License v3+
Running benchmark (6641.4 PMKs/s)... |
Computed 6641.36 PMKs/s total. #1: 'CPU-Core (SSE2/AES)': 295.9 PMKs/s (RTT 3.3) #2: 'CPU-Core (SSE2/AES)': 300.3 PMKs/s (RTT 3.1) #3: 'CPU-Core (SSE2/AES)': 272.6 PMKs/s (RTT 3.2) #4: 'CPU-Core (SSE2/AES)': 276.7 PMKs/s (RTT 3.2) CUDA: #1: 'CUDA-Device #1 'GeForce GT 720M'': 6171.1 PMKs/s (RTT 2.8)
nice tutorial @h3xcmd ... thanks so much ... i just follow edit the std_abs.h and setup.py on cpyrit_cuda, everythings work fine ... but i don't follow to install legacy driver ... because official distro has different way : https://www.kali.org/news/cloud-cracking-with-cuda-gpu/ and if i follow your step, it will be remove arch 32 on my kali linux 64 bit ... (ex : wine32) thanks...
Your Welcome @HaxorGaruda As much as I struggled with this for a whole year on my Optimus Dell Latitude (intel+nvidia) I really wish it was as simple as
apt-get install -y ocl-icd-libopencl1 nvidia-driver nvidia-cuda-toolkit
I too thought it was a bit overkill to include nvidia legacy and the long list of installs for the nvidia driver step and you are right about something, breaking the system if you install or have 32bit arch is eminent with nvidia 64. After enabling 386 arch dpkg --add-architecture i386 && apt-get update it runs through the rolling repositories it tries to install 32bit nvidia drivers and that just messes up the mods with xorg.conf stopping gdm3 from loading. Through my trial and error with an Optimus system I have learned to just not use 32bit arch.
If you have discrete Nvidia hardware, I do not see a problem using the simplified install from the Kali Docs and yes your method would work. But in an Optimus laptop something is missing where it needs to switch from intel to nvidia and to be able to disable that switching ability to benchmark pyrit_cuda is what I came up with.
After figuring out what FLOAT_128 meant, the std_abs.h file was the most important step out of all of this besides figuring out the cocktail of installs to do.
hi, i have a problem when run "pyrit list_cores" only show me the processor cores. i have a gtx 1060 video card. are there other steps for install? thanks
@c3ph3u5qwerty If you are on a laptop you need to use optirun pyrit list_cores, ect. ect.
@Taslack i have a desktop pc, i follow step by step but pyrit dont recognise the gpu core
@c3ph3u5qwerty I am going to edit my answer even though its geared to Optimus Laptops that want to ditch the Intel display driver and go 100% with nvidia without auto switching with bumblebee where you do not need to run optirun. Also you have to run this tool as root and did you forget to edit the /root/.pyrit/config file cuda=true
@Taslack Optirun is for bumblebee-nvidia-driver Optimus laptops where you would want to use your default Intel display drivers and when needed to auto switch to Nvidia to accelerate your graphics. and in the past I never had any luck whatsoever with bumblebee and pyrit. You absolutely need the nvidia-drivers.
On this last fresh install with 2017.2 updated to Kali 2017.3; installing Pyrit, I did not need to edit the FLOAT_128 integer and I did not have to install a block of librarys and nvidia stuff previously mentioned. Its all included in the apt install nvidia-driver ocl-icd-libopencl1 nvidia-cuda-toolkit
HI I NEED HELP!! ASAP
root@0mount:/0mount/wifi_attack/Pyrit/modules/cpyrit_cuda# python setup.py clean build install running clean Removing temporary files and pre-built GPU-kernels... running build running build_ext Compiling CUDA module using nvcc 8.0, V8.0.61... Executing '/usr/local/cuda/bin/nvcc -m64 -ccbin clang -Xcompiler "-fPIC" --ptx ./_cpyrit_cudakernel.cu' nvcc warning : The 'compute_20', 'sm_20', and 'sm_21' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). nvcc fatal : The version ('40001') of the host compiler ('clang') is not supported Traceback (most recent call last): File "setup.py", line 170, in
setup(**setup_args) File "/usr/lib/python2.7/distutils/core.py", line 151, in setup dist.run_commands() File "/usr/lib/python2.7/distutils/dist.py", line 953, in run_commands self.run_command(cmd) File "/usr/lib/python2.7/distutils/dist.py", line 972, in run_command cmd_obj.run() File "/usr/lib/python2.7/distutils/command/build.py", line 128, in run self.run_command(cmd_name) File "/usr/lib/python2.7/distutils/cmd.py", line 326, in run_command self.distribution.run_command(command) File "/usr/lib/python2.7/distutils/dist.py", line 972, in run_command cmd_obj.run() File "setup.py", line 93, in run subprocess.check_call(nvcc_cmd, shell=True) File "/usr/lib/python2.7/subprocess.py", line 190, in check_call raise CalledProcessError(retcode, cmd) subprocess.CalledProcessError: Command '/usr/local/cuda/bin/nvcc -m64 -ccbin clang -Xcompiler "-fPIC" --ptx ./_cpyrit_cudakernel.cu' returned non-zero exit status 1
Also encountering the error below after python setup.py clean build install when installing cpyrit_cuda. Here is the error:
python /opt/Pyrit-master/modules/cpyrit_cuda/setup.py clean build install
running build
running build_ext
Compiling CUDA module using nvcc 8.0, V8.0.61...
Executing '/usr/lib/nvidia-cuda-toolkit/bin/nvcc -m64 -ccbin clang -Xcompiler "-fPIC" --ptx ./_cpyrit_cudakernel.cu'
nvcc warning : The 'compute_20', 'sm_20', and 'sm_21' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning).
nvcc fatal : The version ('40001') of the host compiler ('clang') is not supported
Traceback (most recent call last):
File "/opt/Pyrit-master/modules/cpyrit_cuda/setup.py", line 166, in
Finally made it work on RYZEN 5 1600 with NVIDIA GTX 1060 3G...Getting 125 000 PMK/s (1CPU core+GPU).. I was getting errors like all of you but since i changed ( clang to clang-3.8) in setup.py in root@kali:/Pyrit/modules/cpyrit_cuda# everything works well.. Thank you guys for this thread !!!! Note: First you uninstall (apt remove pyrit) from Kali Then compile setup.py in root@kali:/Pyrit/ then compile again setup.py in root@kali:/Pyrit/modules/cpyrit_cuda# ...Hope i can help with this :)
Thank you all! Nice work!
root@KaliDesktop:/opt/Pyrit-master/modules/cpyrit_cuda# pyrit benchmark Pyrit 0.5.1 (C) 2008-2011 Lukas Lueg - 2015 John Mora https://github.com/JPaulMora/Pyrit This code is distributed under the GNU General Public License v3+
Running benchmark (149966.0 PMKs/s)... /
Computed 149965.98 PMKs/s total. #1: 'CPU-Core (SSE2/AES)': 600.7 PMKs/s (RTT 3.0) #2: 'CPU-Core (SSE2/AES)': 608.6 PMKs/s (RTT 3.0) #3: 'CPU-Core (SSE2/AES)': 602.4 PMKs/s (RTT 2.9) #4: 'CPU-Core (SSE2/AES)': 625.4 PMKs/s (RTT 2.9) #5: 'CPU-Core (SSE2/AES)': 591.3 PMKs/s (RTT 3.0) #6: 'CPU-Core (SSE2/AES)': 604.2 PMKs/s (RTT 2.9) #7: 'CPU-Core (SSE2/AES)': 614.4 PMKs/s (RTT 3.0) #8: 'CPU-Core (SSE2/AES)': 604.4 PMKs/s (RTT 3.1) CUDA: #1: 'CUDA-Device #1 'GeForce GTX 1080 Ti'': 161781.1 PMKs/s (RTT 0.8)
@ PastiiJ ..I see you have 8 threads of processor working in pyrit and you get 160 000PMK/s..Its GTX 1080 Ti -You should get more...Disable all cores but 1 in .Pyrit / config files writing No of cpu's=1..You should get much better result...And free resources to do something else ;)..Anyway i get on my GTX 1060 128 000 PMK/s maximum speed...1 CPU core working..Tell me if it improved please :)
Wooow thx Hackitfree !!
root@KaliDesktop:/opt/Pyrit-master/modules/cpyrit_cuda# pyrit benchmark Pyrit 0.5.1 (C) 2008-2011 Lukas Lueg - 2015 John Mora https://github.com/JPaulMora/Pyrit This code is distributed under the GNU General Public License v3+
Running benchmark (224931.1 PMKs/s)... |
Computed 224931.07 PMKs/s total. #1: 'CPU-Core (SSE2/AES)': 1341.9 PMKs/s (RTT 2.9) CUDA: #1: 'CUDA-Device #1 'GeForce GTX 1080 Ti'': 244530.3 PMKs/s (RTT 0.5)
How to Install Pyrit Cuda + Toolkit 8 + Nvidia GTX 1060 in Kali Linux 2017.3
*Clean Install Kali 2017.3 Kernel 4.13.0-kali1-amd64 and Update
apt update && apt upgrade && apt autoremove && apt -f install && apt upgrade
apt remove pyrit
echo -e "blacklist nouveau\noptions nouveau modeset=0\nalias nouveau off" > /etc/modprobe.d/blacklist-nouveau.conf
update-initramfs -u && reboot
*Verify nouveau is disabled
lsmod | grep -i nouveau
*must be a blank return
apt install nvidia-driver ocl-icd-libopencl1 nvidia-cuda-toolkit
apt install mesa-utils nvidia-cuda-gdb nvidia-cuda-doc libssl-dev zlib1g-dev libpcap-dev libgl1-nvidia-glx python2.7-dev python-pycuda-doc python-pycuda python3-pycuda
reboot
*Pyrit prep
git clone https://github.com/JPaulMora/Pyrit.git
gedit /root/.bashrc
*Add these lines to the end of .bashrc
PATH=$PATH:/usr/lib/nvidia-cuda-toolkit/bin. LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/lib/nvidia-cuda-toolkit/lib:/lib export PATH export LD_LIBRARY_PATH
*Pyrit_Cuda Prep and Install
cd /root/Pyrit/modules/cpyrit_cuda/
gedit setup.py
Edit the setup.py, line 35,edit it from*
for path in ('/usr/local/cuda', '/opt/cuda'):
*to:
for path in ('/usr/local/cuda','/usr/lib/nvidia-cuda-toolkit','/opt/cuda'):
line 88,edit it from**
nvcc_cmd = NVCC + bit_flag + ' -ccbin clang -Xcompiler "-fPIC" --ptx ./_cpyrit_cudakernel.cu'
nvcc_cmd = NVCC + bit_flag + ' -ccbin clang-3.8 -Xcompiler "-fPIC" --ptx ./_cpyrit_cudakernel.cu'
*then
cd /root/Pyrit
*and install
python setup.py clean build install
*last thing
gedit /root/.pyrit/config
*change from:
use_CUDA = false
*to
use_CUDA = true
*now check your GPU
pyrit list_cores
ENJOY !!!
*Note: GPU works best with 1 CPU core gedit /root/.pyrit/config *set: limit_ncpus = 1
My score:
root@kali:/# pyrit benchmark Pyrit 0.5.1 (C) 2008-2011 Lukas Lueg - 2015 John Mora https://github.com/JPaulMora/Pyrit This code is distributed under the GNU General Public License v3+
Running benchmark (120907.2 PMKs/s)... \
Computed 120907.24 PMKs/s total. #1: 'CPU-Core (SSE2/AES)': 1112.1 PMKs/s (RTT 3.1) CUDA: #1: 'CUDA-Device #1 'GeForce GTX 1060 3GB'': 130434.6 PMKs/s (RTT 1.0)
root@KaliDesktop:~# pyrit benchmark Pyrit 0.5.1 (C) 2008-2011 Lukas Lueg - 2015 John Mora https://github.com/JPaulMora/Pyrit This code is distributed under the GNU General Public License v3+
Running benchmark (239409.9 PMKs/s)... /
Computed 239409.86 PMKs/s total. #1: 'CPU-Core (SSE2/AES)': 1470.9 PMKs/s (RTT 2.9) CUDA: #1: 'CUDA-Device #1 'GeForce GTX 1080 Ti'': 262496.3 PMKs/s (RTT 0.5)
Just OC first core of my 6700k to 4,7Ghz ≃ 18000PMKs/s more than stock (244530.3 PMKs/s) with limit_ncpus = 1
CPU bottleneck GPU, so i try to disable all cores: edit /root/.pyrit/config limit_ncpus = -4
But it crash after 30sec..
Can we run this only with GPU?
Thx
NOTE TO SELF
cd /root/Pyrit/modules/cpyrit_cuda/ gedit setup.py
nvcc_cmd = NVCC + bit_flag + ' -ccbin clang-3.8 -Xcompiler "-fPIC" --ptx ./_cpyrit_cudakernel.cu
@kudzie567 @Andiansyah23
@Hackitfree can you help me please, i have a laptop hp omen with intel and nvidia 1050 and i want install nvidia driver with cuda for use pyrit. is the same method that in your answer?
@ c3ph3u5qwerty - Well i guess its same with your laptop-One thing..If your laptop uses the integrated graphics and switch between modes then you should consider this tricks with Optimus switching card:
https://forums.kali.org/showthread.php?35748-TUTORIAL-Installing-official-NVIDIA-driver-in-Optimus-laptop&highlight=nvidia http://www.hackdig.com/?07/hack-4577.htm https://svn.boost.org/trac10/attachment/ticket/11852/float128GccNvcc.patch
This can help.. I didnt try installing the newest version of KaliLinux yet-i hope something is improved with their installed already version of Pyrit..However try my guide and post what you have done..I will try resolving any issue you might have..
@Hackitfree very very thanks, this method works :) but i have a question with pyrit (i use parrot OS on other laptop, and installed pyrit compatible with opencl). and works but when reboot my laptop pyrit doesn't recognize my gpu. you know what's going on?
@ pwnhun73r Hmmm.. So you made pyrit work-but when you restarted laptop-it wouldnt recognise GPU?..It might be some problem with switchable graphics in your laptop..Try to solve with some trick with "Optimus": https://forums.kali.org/showthread.php?35748-TUTORIAL-Installing-official-NVIDIA-driver-in-Optimus-laptop&highlight=nvidia http://www.hackdig.com/?07/hack-4577.htm https://svn.boost.org/trac10/attachment/ticket/11852/float128GccNvcc.patch
I hope it will help-i never worked with Pyrit on laptop swichable graphics so i dont know where is the problem...