- #Ubuntu nvidia cuda toolkit how to
- #Ubuntu nvidia cuda toolkit install
- #Ubuntu nvidia cuda toolkit driver
- #Ubuntu nvidia cuda toolkit full
# Determine CUDA version using /usr/local/cuda/bin/nvcc binaryĬUDA_VERSION=$(/usr/local/cuda/bin/nvcc -version | sed -n 's/^.*release \(\+\.\+\).*$/\1/p') Įlif then # Determine CUDA version using default nvcc binaryĬUDA_VERSION=$(nvcc -version | sed -n 's/^.*release \(\+\.\+\).*$/\1/p') Įlif /usr/local/cuda/bin/nvcc -version 2&> /dev/null then We can combine these three methods together in order to robustly get the CUDA version as follows: if nvcc -version 2&> /dev/null then In this scenario, the nvcc version should be the version you're actually using. Note that sometimes the version.txt file refers to a different CUDA installation than the nvcc -version.
The output of which CUDA Version 10.1.243Ĭan be parsed using sed to pick out just the MAJOR.MINOR release version number. The output of which is the same as above, and it can be parsed in the same way.Īlternatively, you can find the CUDA version from the version.txt file.
#Ubuntu nvidia cuda toolkit full
If nvcc isn't on your path, you should be able to run it by specifying the full path to the default location of nvcc instead. We can pass this output through sed to pick out just the MAJOR.MINOR release version number. The output looks like this: nvcc: NVIDIA (R) Cuda compiler driverĬopyright (c) 2005-2020 NVIDIA CorporationĬuda compilation tools, release 11.0, V11.0.194 If you have multiple versions of CUDA installed, this command should print out the version for the copy which is highest on your PATH. I think this should be your first port of call.
#Ubuntu nvidia cuda toolkit how to
Here, I'll describe how to turn the output of those commands into an environment variable of the form "10.2", "11.0", etc.
#Ubuntu nvidia cuda toolkit driver
Supports MultiDevice Co-op Kernel Launch: Yesĭevice PCI Domain ID / Bus ID / location ID: 0 / 1 / 0ĭeviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 9.0, CUDA Runtime Version = 9.Other respondents have already described which commands can be used to check the CUDA version. Support host page-locked memory mapping: Yesĭevice supports Unified Addressing (UVA ): Yes Max dimension size of a grid size (x,y,z ): (2147483647, 65535, 65535 )Ĭoncurrent copy and kernel execution: Yes with 2 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 =(32768, 32768 ), 2048 layers Maximum Layered 1D Texture Size, (num ) layers 1D =(32768 ), 2048 layers Total amount of global memory: 8111 MBytes ( 8504868864 bytes ) (15 ) Multiprocessors, (128 ) CUDA Cores/MP: 1920 CUDA Cores $ /usr/local/cuda/extras/demo_suite/deviceQueryĬUDA Device Query (Runtime API ) version (CUDART static linking )ĬUDA Driver Version / Runtime Version 9.0 / 9.0ĬUDA Capability Major/Minor version number: 6.1 | 0% 41C P8 10W / 185W | 121MiB / 8110MiB | 0% Default |Īdditionally, the package comes with some additional scripts that are interesting to play with, found under /usr/local/cuda/extras/demo_suite. dev/nvidia0 /dev/nvidiactl /dev/nvidia-modeset /dev/nvidia-uvm /dev/nvidia-uvm-toolsĬopyright (c ) 2005-2017 NVIDIA CorporationĬuda compilation tools, release 9.0, V9.0.176
#Ubuntu nvidia cuda toolkit install
I will use the CUDA metapackage, which will install all CUDA toolkit and driver packages and upgrade both as new versions are released: Using this repo means the install will stay up-to-date. NVIDIA runs a repo which can be added to apt and then install directly from. The NVIDIA repo also contains a variety of meta packages allowing an end-user to limit the install to the libraries, runtime, or the tool kits that are needed versus installing everything.
This section will look to downloading the library directly from NVIDIA itself in order to get the latest version of the package. | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. dev/nvidia0 /dev/nvidiactl /dev/nvidia-uvmĬopyright (c ) 2005-2015 NVIDIA CorporationĬuda compilation tools, release 7.5, V7.5.17
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