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- #Nvidia cuda toolkit guide install
- #Nvidia cuda toolkit guide update
- #Nvidia cuda toolkit guide driver
#Nvidia cuda toolkit guide install
If you won't heed my warning and are determined to install CUDA 6.5 on Ubuntu 16.04, here are some of the references I used: Simply put, Nvidia just doesn't support Ubuntu 16.04+ with CUDA 6.5 >:C I'm giving up and getting a video card that supports the latest CUDA. I've Google'd around and there are hacks to kinda make it work a little, but eventually you run into a brick wall. usr/local/cuda-6.5/include/host_config.h:82:2: error: #error - unsupported GNU version! gcc 4.9 and up are not supported! In file included from /usr/local/cuda-6.5/include/cuda_runtime.h:59:0, I finally got it installed, but now I constantly get variations of this error: I just spent a few hours trying to figure this out myself. usr/local/cuda/samples/1_Utilities/deviceQuery/deviceQuery If you see all of your cards listed, and the last line says "Result = PASS" you're good to go. This is used to verify cuda worksĬd /usr/local/cuda/samples/1_Utilities/ devicequery & sudo make Sudo apt-get -y install cuda-toolkit-6-5 # skip reading the entire agreement by pressing ctrl+cĮcho "export PATH=/usr/local/cuda-6.5/bin:$PATH" > ~/.bashrcĮcho "export LD_LIBRARY_PATH=/usr/local/cuda-6.5/lib64:$LD_LIBRARY_PATH" > ~/.bashrc Sudo nvidia-xconfig -a -cool-bits=28 -allow-empty-initial-configuration # flags enable OC and fan controls. Sudo echo 'GRUB_CMDLINE_LINUX="nomodeset"' > /etc/default/grub NVIDIA-Linux-x86_64-352.41.run -accept-license -no-questions -disable-nouveau -no-install-compat32-libs
#Nvidia cuda toolkit guide driver
Get the appropriate driver download here. Sudo apt-get -y install gcc g++ build-essential automake linux-headers-$(uname -r) git gawk libcurl4-openssl-dev libjansson-dev xorg libc++-dev libgmp-dev python-dev GPU Device 0: "Quadro FX 5800" with compute capability 1.3ĭevice 0: "Quadro FX 5800" with Compute 1.3 capability Then install the cude toolkit from the extracted package (sudo sh cuda- linu圆4-rel-6.5.n)Īfter installation and setting the PATH and LD_LIBRARY_PATH you sould be able to compile and run cuda samples.Ī simple example you can find in cuda-samples/0_Simple/simplePrintf and compile it by running make command. Set your perl library path (e.g export perl5lib=/usr/lib/x86_64-linux-gnu/perl-base) cuda_6.5.14_linux_64.run -tar mxvfĬopy InstallUtils.pm file from the extracted package and copy it to your perl-base location (for mine it was /usr/lib/x86_64-linux-gnu/perl-base) Install required libraries by: apt-get install libglu1-mesa libxi-dev libxmu-dev libglu1-mesa-devĭownload cuda_6.5.14_linux_64.run from NVIDIA website and extract it by. If you have previously installed a newer version of gcc and g++, remove gcc and g++ which are symbolic links from your $PATH and create new sybolic links to newly installed gcc-4.7 and g++-4.7 (e.g sudo ln -s /usr/bin/gcc-4.7 /usr/bin/gcc) The above lines coud be removed from /etc/apt/sources.list after that
#Nvidia cuda toolkit guide update
Install gcc-4.7 and g++-4.7 by adding the following lines to /etc/apt/sources.list and then running sudo apt update & sudo apt install g++-4.7 gcc-4.7 Install the latest compatible driver from ubuntu->software & update->Additional Drivers-> Using NVIDIA binary driver (for my case the latest compatible was 340.107).
![nvidia cuda toolkit guide nvidia cuda toolkit guide](https://linuxconfig.org/images/01-nvidia-cuda-toolkit-install-fedora-28.png)
It took me several days and trying different methods including a docker image (which didn't work) to figure out how can I solve it:
![nvidia cuda toolkit guide nvidia cuda toolkit guide](https://itips.krsw.biz/wp-content/uploads/2019/04/GPU_1555509244-800x533.jpg)
The latest version of CUDA toolkit is 6.5 and the supported GPUs are listed on this page, CUDA GPUs. What is the latest version of CUDA toolkit?.