#Ubuntu 18.04 cuda 9.0 install#
#Ubuntu 18.04 cuda 9.0 driver#
#Ubuntu 18.04 cuda 9.0 software#
#Ubuntu 18.04 cuda 9.0 download#

#Ubuntu 18.04 cuda 9.0 driver#

Supports MultiDevice Co-op Kernel Launch: NoДevice PCI Domain ID / Bus ID / location ID: 0 / 1 / 0ДeviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 9.1, CUDA Runtime Version = 9.1, NumDevs = 1 Support host page-locked memory mapping: YesДevice supports Unified Addressing (UVA): Yes Max dimension size of a grid size (x,y,z): ( 2147483647, 65535, 65535)Д¬oncurrent copy and kernel execution: Yes with 1 copy engine(s) Max dimension size of a thread block (x,y,z): ( 1024, 1024, 64) Maximum number of threads per block: 1024 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 2D Texture Size, ( num) layers 2D=( 16384, 16384), 2048 layers Maximum Layered 1D Texture Size, ( num) layers 1D=( 16384), 2048 layers ( 5) Multiprocessors, ( 128) CUDA Cores/MP: 640 CUDA Cores Total amount of global memory: 2004 MBytes ( 2101870592 bytes) deviceQueryД¬UDA Device Query (Runtime API) version (CUDART static linking)Д¬UDA Driver Version / Runtime Version 9.1 / 9.1Д¬UDA Capability Major/Minor version number: 5.0 +-+ $ nvcc -V nvcc: NVIDIA ( R) Cuda compiler driver Copyright ( c) 2005 -2017 NVIDIA Corporation Built on Fri_Nov_3_21 :07 :56_CDT_2017 Cuda compilation tools, release 9. are/jetbrains-toolbox/jetbrains-toolbox 5MiB | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. zshrc) echo 'export PATH=/usr/local/cuda-9.1/bin:$PATH' > ~/.zshrcД®cho 'export LD_LIBRARY_PATH=/usr/local/cuda-9.1/lib64:$LD_LIBRARY_PATH' > ~/.zshrc NVRM version: NVIDIA UNIX x86_64 Kernel Module 390.48 Thu Mar 22 00: 42: Sudo cp -P cuda/lib64/libcudnn*/usr/local/cuda-9.0/lib64/ Sudo cp -P cuda/include/cudnn.h/usr/local/cuda-9.0/include # Copy the following files from the decompressed folder of cudnn to the corresponding path of cuda toolkit

#Ubuntu 18.04 cuda 9.0 download#

# Download cuDNN from, and then use the following command to unzip the file package

#Ubuntu 18.04 cuda 9.0 install#

# Install cudnn, note that the latest version may not be shown below Sudo ln -s/usr/bin/g++-6/usr/local/cuda/bin/g++Д®cho'export PATH=/usr/local/cuda-9.0/bin:$PATH' > ~/.bashrcД®cho'export LD_LIBRARY_PATH=/usr/local/cuda-9.0/lib64:$LD_LIBRARY_PATH' > ~/.bashrc Sudo ln -s/usr/bin/gcc-6/usr/local/cuda/bin/gcc Install NVIDIA Accelerated Graphics Driver for Linux-x86_64 384.81? You are attempting to install on an unsupported configuration. # Refer to answer these three questions at the beginning of the installation, especially the second answer no, otherwise there will be an error when setting up the gcc/g++ link (my computer is wrong)

#Ubuntu 18.04 cuda 9.0 software#

# Make the installation software runnable, and run the installation software Sudo apt-get install g++ freeglut3-dev build-essential libx11-dev libxmu-dev libxi-dev libglu1-mesa libglu1-mesa-dev

Sudo apt install nvidia-384 nvidia-384-dev Sudo add-apt-repository ppa:graphics-drivers/ppa # Verify whether gcc is installed, if installed, the gcc version will be displayed # Verify that the installation is successful

# Download and install nvidia cuda toolkit and cudnn