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-Autogenerated on 2012-11-29
-from - https://redmine.openinfosecfoundation.org/projects/suricata/wiki/Installation_with_CUDA_on_Ubuntu_server_1104
-
-
-Installation with CUDA on Ubuntu server 11.04
-
-THIS WOULD NOT WORK ON A VIRTUAL MACHINE!
-This guide is written using:
-Ubuntu Server 11.04
-Linux ubuntu 2.6.38-8-generic x86_64 GNU/Linux
-
-Pre installation requirements
-
-
- apt-get update
- apt-get upgrade
-
-Get the CUDA toolkit
-
- http://developer.nvidia.com/cuda-toolkit-40
-
-Pick up the correct NVIDIA drivers for your card and system
-
- http://www.nvidia.com/Download/index.aspx?lang=en-us
-
-Go to your download directory
-and chmod the 2 *.run files that you just downloaded.
-Example:
-
- chmod 655 cudatoolkit_4.0.17_linux_64_ubuntu10.10.run
- chmod 655 NVIDIA-Linux-x86_64-280.13.run
-
-
- sudo apt-get -y install libpcre3 libpcre3-dbg libpcre3-dev \
- build-essential autoconf automake libtool libpcap-dev libnet1-dev \
- libyaml-0-2 libyaml-dev zlib1g zlib1g-dev libcap-ng-dev libcap-ng0 \
- make flex bison git
-
-Run the cuda toolkit installation package:
-
- sudo ./cudatoolkit_4.0.17_linux_64_ubuntu10.10.run
-
-Close all windows and as you are logged in press:
-
- Ctr+Alt+F1
-
-Log in with your credentials
-
- sudo -i
-
-And enter your password
-Stop the x server:
-
- /etc/init.d/gdm stop
-
-Uninstall xserver video drivers:
-
- apt-get remove --purge xserver-xorg-video-nouveau
-
-Go to the directory where you downloaded nvidia/cuda drivers.
-
- Run the NVIDIA*******.run:
- ./NVIDIA********.run
-
-Ok and yes your way out.
-At some point it will ask you to make a special configuration file to disable a
-"nouveau"
-driver that the system is currently using and prevents the NVIDIA drivers to be
-installed - say yes!
-Reboot:
-
- shutdown -r now
-
-After reboot log in as you would normally through the GUI
-Log in as you would normally.
-Go to shell:
-
- Ctrl+Alt+F1
-
-Type in your credentials and pass
-
- sudo -i
-
-Stop the xserver again:
-
- /etc/init.d/gdm stop
-
-Run the NVIDIA driver again.
-This time it would finish and be successful....
-Reboot:
-
- shutdown -r now
-
-After start you would notice that the display has much better resolution - it
-is a good thing.
-Log in as you would normally.
-Because the 11.04 Ubuntu comes with gcc version 4.5 by default we need to
-install gcc 4.4 since we must use 4.4 for the cuda compilation:
-
- apt-get install gcc-4.4 gcc-4.4-base g++-4.4
-
-Then we switch and make ubuntu use the gcc 4.4 by default:
-
- sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-4.5 40 --
- slave /usr/bin/g++ g++ /usr/bin/g++-4.5
- udo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-4.4 60 --
- slave /usr/bin/g++ g++ /usr/bin/g++-4.4
-
-We make sure that this is the case:
-
- sudo update-alternatives --config gcc
-
-""
-
- update-alternatives --config gcc (as root)
-
-
-There are 2 choices for the alternative gcc (providing /usr/bin/gcc).
-
-* 0 /usr/bin/gcc-4.4 60 auto mode
- 1 /usr/bin/gcc-4.4 60 manual mode
- 2 /usr/bin/gcc-4.5 40 manual mode
-
-
- Selection Path Priority Status
- ------------------------------------------------------------
-
-Press enter to keep the current choice[*], or type selection number:
-""
-
-Suricata
-
-Enter the following in your download directory:
-
- git clone git://phalanx.openinfosecfoundation.org/oisf.git
- cd oisf/
- ./autogen.sh
- ./configure --enable-gccprotect --enable-profiling --enable-cuda \
- --with-cuda-includes=/usr/local/cuda/include --with-cuda-libraries=/usr/
- local/cuda/lib64/
-
-After that you should get the following result:
-""
-
- Suricata Configuration:
- NFQueue support: no
- IPFW support: no
- PF_RING support: no
- Prelude support: no
- Unit tests enabled: no
- Debug output enabled: no
- Debug validation enabled: no
- CUDA enabled: yes
- DAG enabled: no
- Profiling enabled: yes
- GCC Protect enabled: yes
- GCC march native enabled: yes
- GCC Profile enabled: no
- Unified native time: no
- Non-bundled htp: no
- PCRE sljit: no
- ""
-
-
- make && make install
- ldconfig
-
-Proceed with Basic_Setup
-After you start suricata , you should see cuda
-
- example :
- ""
- suricata -c suricata.yaml -i eth0
- [12406] 13/8/2011 -- 10:14:39 - (suricata.c:622) <Info> (main) -- This is
- Suricata version 1.1beta2 (rev b3f7e6a)
- [12406] 13/8/2011 -- 10:14:39 - (util-cpu.c:171) <Info> (UtilCpuPrintSummary)
- -- CPUs/cores online: 8
- [12406] 13/8/2011 -- 10:14:39 - (util-cuda.c:4504) <Info>
- (SCCudaPrintBasicDeviceInfo) -- GPU Device 1: GeForce 310M, 2
- Multiprocessors, 1468MHz, CUDA Compute Capability 1.2...................
- ........................
- ""
-