Amazon Linux GPU Pyrit Command Journal

Deploy Official Amazon Linux Marketetplace AMI with GRID driver:

https://aws.amazon.com/marketplace/pp/B00FYCDDTE

SSH in

// Install Cuda Tools - AND also install driver!

wget http://developer.download.nvidia.com/compute/cuda/7.5/Prod/local_installers/cuda_7.5.18_linux.run
sudo /bin/bash ./cuda_7.5.18_linux.run

// Test CUDA

cd /usr/local/cuda/samples/1_Utilities/deviceQuery
sudo make
./deviceQuery

// If OK output should look like this:

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

Detected 1 CUDA Capable device(s)

Device 0: "GRID K520"
  CUDA Driver Version / Runtime Version          7.5 / 7.5
  CUDA Capability Major/Minor version number:    3.0
  Total amount of global memory:                 4096 MBytes (4294770688 bytes)
  ( 8) Multiprocessors, (192) CUDA Cores/MP:     1536 CUDA Cores
  GPU Max Clock rate:                            797 MHz (0.80 GHz)
  Memory Clock rate:                             2500 Mhz
  Memory Bus Width:                              256-bit
  L2 Cache Size:                                 524288 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 2 copy engine(s)
  Run time limit on kernels:                     No
  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 / 0 / 3
  Compute Mode:
     < Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >

deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 7.5, CUDA Runtime Version = 7.5, NumDevs = 1, Device0 = GRID K520
Result = PASS

// Install Pyrit

cd ~/

wget https://storage.googleapis.com/google-code-archive-downloads/v2/code.google.com/pyrit/cpyrit-cuda-0.4.0.tar.gz
wget https://storage.googleapis.com/google-code-archive-downloads/v2/code.google.com/pyrit/pyrit-0.4.0.tar.gz
tar -xvf pyrit-0.4.0.tar.gz
cd pyrit-0.4.0
sudo yum install openssl-devel
sudo yum install libpcap-devel
sudo python setup.py build
sudo python setup.py install
pyrit
cd ..
tar -xvf cpyrit-cuda-0.4.0.tar.gz
cd cpyrit-cuda-0.4.0
sudo python setup.py build
sudo python setup.py install
pyrit list_cores

// output should look like this:

Pyrit 0.4.0 (C) 2008-2011 Lukas Lueg http://pyrit.googlecode.com
This code is distributed under the GNU General Public License v3+

The following cores seem available...
#1:  'CUDA-Device #1 'GRID K520''
#2:  'CPU-Core (SSE2)'
#3:  'CPU-Core (SSE2)'
#4:  'CPU-Core (SSE2)'
#5:  'CPU-Core (SSE2)'
#6:  'CPU-Core (SSE2)'
#7:  'CPU-Core (SSE2)'
#8:  'CPU-Core (SSE2)'