CUDA Setup

This is a step by step guide on how to configure and use CUDA architecture for Lotus instead of OpenCL for Nvidia cards.

Installing latest stable Nvidia drivers

Many Linux distributions provide their packages of the NVIDIA Linux Graphics Driver in the distribution’s native package management format. This may interact better with the rest of your distribution’s framework, and you may want to use this rather than NVIDIA’s official package.

  1. Download the latest stable package for your card using the Nvidia website.

  2. Once you have downloaded the driver, change to the directory containing the driver package and install the driver by running, as root, sh ./NVIDIA-Linux-x86_64-<driver version>.run:

    mkdir ~/nvidia-drivers
    cd ~/nvidia-drivers
    wget https://us.download.nvidia.com/XFree86/Linux-x86_64/510.54/NVIDIA-Linux-x86_64-510.54.run
    sudo sh NVIDIA-Linux-x86_64-510.54.run
    
  3. One of the last installation steps will offer to update your X configuration file(for X-server). Either accept that offer, edit your X configuration file manually so that the NVIDIA X driver will be used, or run nvidia-xconfig. There are some changes in the latest Nvidia driver, so if you upgrade your driver remember to check nvidia-smi - it will always display the correct name for the GPU.

    If you are using an nvidia driver below < 460.91.03

    export RUST_GPU_TOOLS_CUSTOM_GPU="GeForce RTX 3090:10496"
    

    If you are using an Nvidia driver above > 510.47.03

    export RUST_GPU_TOOLS_CUSTOM_GPU="NVIDIA GeForce RTX 3090:10496"
    

Nvidia RTX 3090 was used in this example. Remember to edit it with your GPU and amount of Cuda cores.

Installing the latest CUDA toolkit

  1. Download the latest CUDA toolkit from the Nvidia website..

  2. Once you have downloaded the cuda-toolkit, change to the directory containing the installer and install by running, as root, sh cuda_<version>.run:

    mkdir ~/cuda
    cd ~/cuda
    wget https://developer.download.nvidia.com/compute/cuda/11.6.1/local_installers/cuda_11.6.1_510.47.03_linux.run
    sudo sh cuda_11.6.1_510.47.03_linux.run
    
  3. Use SPACEBAR to select and deselect an installation option. Only install cuda-toolkit. You do not need any other packages.

  4. Press ENTER to begin the installation and wait for it to finish.

Configuring the variables

  1. We need to add the newly installed CUDA to the PATH environment variable for the Linux User that will compile and run the Lotus:

    echo -e `export PATH=$PATH:/usr/local/cuda-11.6/bin \n export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda-11.6/lib64` >> ~/.bashrc && source ~/.bashrc
    
  2. Reboot the system for the changes to take effect and verify that the new CUDA toolkit and Nvidia driver versions are in use:

    sudo nvidia-smi 
    
    > +-----------------------------------------------------------------------------+
    > | NVIDIA-SMI 510.47.03    Driver Version: 510.47.03    CUDA Version: 11.6     |
    > |-------------------------------+----------------------+----------------------+
    > | GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
    > | Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
    > |                               |                      |               MIG M. |
    > |===============================+======================+======================|
    > |   0  NVIDIA GeForce ...  Off  | 00000000:41:00.0  On |                  N/A |
    > | 54%   49C    P8    43W / 390W |    490MiB / 24576MiB |      1%      Default |
    > |                               |                      |                  N/A |
    > +-------------------------------+----------------------+----------------------+
    > |   1  NVIDIA GeForce ...  Off  | 00000000:61:00.0 Off |                  N/A |
    > |  0%   30C    P8    33W / 390W |      6MiB / 24576MiB |      0%      Default |
    > |                               |                      |                  N/A |
    > +-------------------------------+----------------------+----------------------+
    

Edit this page on GitHub