- Install cuda toolkit ubuntu 14.04 install#
- Install cuda toolkit ubuntu 14.04 drivers#
- Install cuda toolkit ubuntu 14.04 update#
- Install cuda toolkit ubuntu 14.04 driver#
- Install cuda toolkit ubuntu 14.04 software#
Maximum number of threads per multiprocessor: 2048 Total number of registers available per block: 65536
Total amount of shared memory per block: 49152 bytes Total amount of constant memory: 65536 bytes Maximum Layered 1D Texture Size, (num) layers 1D=(32768), 2048 layers (10) Multiprocessors, (128) CUDA Cores/MP: 1280 CUDA Cores Total amount of global memory: 6073 MBytes (6367739904 bytes)
Install cuda toolkit ubuntu 14.04 driver#
deviceQuery Starting.ĬUDA Device Query (Runtime API) version (CUDART static linking)ĭevice 0: "GeForce GTX 1060 with Max-Q Design"ĬUDA Driver Version / Runtime Version 9.0 / 9.0ĬUDA Capability Major/Minor version number: 6.1
cd ~/NVIDIA_CUDA-9.0_Samples/1_Utilities/deviceQuery Make some basic test, if you are able to use CUDA and your GPU is correctly detected. # Find out the major device number used by the nvidia-uvm driverĭ=`grep nvidia-uvm /proc/devices | awk '/usr/local/cuda/extras/CUPTI/lib64Īt the end, reboot your system: sudo reboot NVGA=`echo "$NVDEVS" | grep "VGA compatible controller" | wc -l` N3D=`echo "$NVDEVS" | grep "3D controller" | wc -l` # Count the number of NVIDIA controllers found. If not, use the following script to fix it: #!/bin/bash When it's done and saved, recreate kernel initramfs: sudo update-initramfs -uĬheck that the device files /dev/nvidia* exist and have the correct (0666) file permissions. To do it, create /etc/modprobe.d/nf file and add the following lines to the file: blacklist nouveau Run: lsmod | grep nouveauĪnd if it prints anything that it means that you have to disable the driver.
Install cuda toolkit ubuntu 14.04 install#
Install CUDA Disable Nouveau driverįirst, check if your system uses it. If you want to read more about the initial checks and preparations which we have made, you can check a documentation on Nvidia's website here. Īnd for each found element run: sudo dpkg -remove The command above can return nothing or some packages. Sudo apt-get install -y linux-headers-$(uname -r)įirst, locate what you have already installed: dpkg -get-selections | grep cuda | egrep 'install$'
Install cuda toolkit ubuntu 14.04 update#
Install kernel headers: sudo apt-get update Warranty not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
Install cuda toolkit ubuntu 14.04 software#
This is free software see the source for copying conditions. Run: uname -m & cat /etc/*release | head -n0Īnd check if your system has GCC installed. Make few initial checks to ensure that everything is in place: GPU deviceĮxecute in a terminal: lspci | grep -i nvidiaĪnd you should see something similar to this: 01:00.0 VGA compatible controller: NVIDIA Corporation Device 1c20 (rev a1) I was really positively surprised how much all CUDA-related tools matured over the time. Luckily, time changed and nowadays, it's much easier and better documented. Several times I messed up so much that it was easier to reinstall the whole OS to have a fresh start than trying to undo everything.
Install cuda toolkit ubuntu 14.04 drivers#
GPU UUID : GPU-7b65de6b-4b92-6b56-d51b-031ed109c43eĪvoid ubuntu packages and install upstream drivers and dependencies.I remember when 4 years ago, I was trying to configure CUDA on a laptop with Ubuntu 14.04 and Nvidia Optimus technology - it was a quite tough process. This slight difference in the "minor" version of the NVIDIA driver was not problematic in the past, and is not problematic for NVIDIA tools, since the commande nvidia-smi -a returns the expected output: It seems that the autodetection is now problematic, the latest cuda release needs the 352.39 driver while the latest NVIDIA driver in the repositories is 352.63. In the past i had to only install from the official Ubuntu repositories the NVIDIA driver and nvidia-cuda-toolkit and to compile gromacs as usual: everything was auto-detected correctly and I could run gromacs without further tweak. Note2: the NVML includes are not mandatory, this is an addition to better control NVIDIA hardware.
Note: this command is to build the "mdrun_cuda" executable only, this is why the "_cuda" suffix is used. DNVML_LIBRARY=/opt/apps/pkg/nvidia_gdk/352.55/usr/src/gdk/nvml/lib/libnvidia-ml.so DNVML_INCLUDE_DIR=/opt/apps/pkg/nvidia_gdk/352.55/usr/include/nvidia/gdk/ \ DCMAKE_INSTALL_PREFIX=/opt/apps/pkg/gromacs/5.1.1 \
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