Installation Cuda Toolkit and Cpyrit [Ubuntu 11.10]

Cuda Toolkit and GPU Computing SDK
step 1:
oleg@oneiric:~$ sudo apt-get install gcc-4.4 g++-4.4 build-essential

step 2:
oleg@oneiric:~$ sudo apt-get install nvidia-current nvidia-current-dev nvidia-current-updates nvidia-current-updates-dev

step 3:
oleg@oneiric:~$ wget http://developer.download.nvidia.com/compute/cuda/4_1/rel/toolkit/cudatoolkit_4.1.28_linux_32_ubuntu11.04.run oleg@oneiric:~$ chmod 755 cudatoolkit_4.1.28_linux_32_ubuntu11.04.run oleg@oneiric:~$ sudo ./cudatoolkit_4.1.28_linux_32_ubuntu11.04.run

step 4:
oleg@oneiric:~$ wget http://developer.download.nvidia.com/compute/cuda/4_1/rel/sdk/gpucomputingsdk_4.1.28_linux.run oleg@oneiric:~$ chmod 755 gpucomputingsdk_4.1.28_linux.run oleg@oneiric:~$ sudo ./gpucomputingsdk_4.1.28_linux.run

step 5:
oleg@oneiric:~$ sudo apt-get install freeglut3-dev libxi-dev

step 6:
oleg@oneiric:~$sudo ln -s /usr/lib/libXmu.so.6 /usr/lib/libXmu.so oleg@oneiric:~$sudo ln -s /usr/lib/nvidia-173/libGL.so /usr/lib/libGL.so

step 7:
oleg@oneiric:~$sudo nano ~/NVIDIA_GPU_Computing_SDK/C/common/common.mk
Edit the line
CFLAGS += $(CWARN_FLAGS) $(CXX_ARCH_FLAGS) LINKFLAGS += LINK += $(LINKFLAGS) $(CXX_ARCH_FLAGS)
Into this
CFLAGS += $(CWARN_FLAGS) $(CXX_ARCH_FLAGS) LINKFLAGS += -L/usr/lib/nvidia-current LINK += $(LINKFLAGS) $(CXX_ARCH_FLAGS)

step 8:
oleg@oneiric:~$cd ~/NVIDIA_GPU_Computing_SDK oleg@oneiric:~:~/NVIDIA_GPU_Computing_SDK$ make


Cpyrit
oleg@oneiric:~$ wget http://pyrit.googlecode.com/files/cpyrit-cuda-0.3.0.tar.gz oleg@oneiric:~$ tar xvzf cpyrit-cuda-0.3.0.tar.gz oleg@oneiric:~$ cd cpyrit-cuda-0.3.0 oleg@oneiric:~/cpyrit-cuda-0.3.0$ python setup.py build oleg@oneiric:~/cpyrit-cuda-0.3.0$ sudo python setup.py install
If this error occur
/usr/bin/ld: cannot find -lcuda collect2: ld returned 1 exit status
This fixes the error
oleg@oneiric:~$sudo ln -s /usr/lib/nvidia-current/libcuda.so /usr/lib/libcuda.so
Checking... Video Card must be displayed
pyrit list_cores
oleg@oneiric:~$ pyrit list_cores Pyrit 0.3.0 (C) 2008-2010 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 'GeForce 8600 GT'' #2: 'CPU-Core (SSE2)' #3: 'Network-Clients'
pyrit benchmark
oleg@oneiric:~$ pyrit benchmark Pyrit 0.3.0 (C) 2008-2010 Lukas Lueg http://pyrit.googlecode.com This code is distributed under the GNU General Public License v3+ Running benchmark (1677.2 PMKs/s)... | Computed 1687.60 PMKs/s total. #1: 'CUDA-Device #1 'GeForce 8600 GT'': 1449.1 PMKs/s (RTT 2.7) #2: 'CPU-Core (SSE2)': 162.0 PMKs/s (RTT 3.0) #3: 'Network-Clients': 0.0 PMKs/s (RTT 0.0)