Installing the SVL Simulator#

Table of Contents

Graphics Drivers top#

Windows top#

Linux top#

You can check if the NVIDIA drivers are already installed, and their version by running in terminal:

$ nvidia-smi

The output should be similar to:

| NVIDIA-SMI 450.57       Driver Version: 450.57       CUDA Version: 11.0     |
| 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  GeForce GTX 108...  Off  | 00000000:01:00.0  On |                  N/A |
|  0%   36C    P8    11W / 280W |    202MiB / 11169MiB |      0%      Default |
|                               |                      |                  N/A |

| Processes:                                                                  |
|  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
|        ID   ID                                                   Usage      |
|    0   N/A  N/A      1942      G   /usr/lib/xorg/Xorg                114MiB |
|    0   N/A  N/A      2292      G   /usr/bin/gnome-shell               84MiB |

If you do not have the latest NVIDIA drivers installed, then install the drivers for your system. For example:

  • Run ubuntu-drivers devices to check the highest supported driver version for your system:

    == /sys/devices/pci0000:00/0000:00:01.0/0000:01:00.0 ==
    modalias : pci:v000010DEd00001B06sv00001462sd00003607bc03sc00i00
    vendor   : NVIDIA Corporation
    model    : GP102 [GeForce GTX 1080 Ti]
    driver   : nvidia-driver-435 - distro non-free
    driver   : nvidia-driver-390 - distro non-free
    driver   : nvidia-driver-450 - third-party free recommended
    driver   : nvidia-driver-440 - distro non-free
    driver   : xserver-xorg-video-nouveau - distro free builtin
  • Install the appropriate driver:

    $ sudo apt install nvidia-driver-450

Other Linux Requirements top#

Vulkan top#

Make sure the Vulkan userspace library is installed:

$ sudo apt install libvulkan1

NOTE: If you also have mesa-vulkan-drivers installed (e.g. for Intel motherboard video) they can prevent the simulator from being able to access your NVIDIA GPU. If the simulator crashes when starting, try removing the mesa vulkan drivers:

$ sudo apt remove mesa-vulkan-drivers

Docker top#

Docker v19.03 or later must be installed on Linux in order to run local simulations that use the Python API or VSE runtime templates.

Follow the Docker installation instructions to install Docker.

Installing the simulator top#

The Simulator release can be downloaded as a prebuilt binary from the simulator distribution.

  1. Download and extract the simulator binary zip file for your OS to a desired location.

    • For Linux: svlsimulator-linux64-{release-version}.zip
    • For Windows: svlsimulator-windows64-{release-version}.zip


  2. Enter the svlsimulator-{operating-system}64-{version-number} folder and run the executable application named simulator (simulator.exe on Windows) by double-clicking it.


Link to Cloud top#

When the SVL Simulator program launches, it will connect to the SVL Simulator Cloud.

  1. Click Open Browser to open the simulator user interface in a web browser.

    If the Link to Cloud button is not available, check in the upper right corner to see if the simulator is Online or Offline. If offline, click the Offline button to re-connect the simulator to the cloud, then click Link to Cloud.


  2. You should arrive at the SVL Simulator Sign In page.

    If you already have an account, you can use your credentials to sign in.

    If you don’t already have an account, click Sign Up to create an account.


    To create an account, fill out the Sign Up form.

    You will need to confirm your email address to be able to continue.

    Click the "Verify email" link in the "Complete registration" email.

    If you don't receive the confirmation email, please check your spam filter or add "" to your approved senders list.


  3. After signing in (or signing up), you will be logged in and are almost ready to start creating and running simulations. Before you can create a simulation, you'll need to link your local simulator instance to your cloud account.

    You should now see the Clusters view, where you need to enter a cluster name (e.g. "local-sim") for your local machine which is running SVL Simulator and click Create cluster.

    If you wish to link additional machines into a cluster for distributed simulation, refer to Clusters Tab for more information.


    If you don't see the New Cluster form or get an error when Creating the Cluster, your running simulator may be offline. Return to the SVL Simulator program window and click the Offline button to re-connect the simulator to the cloud, then click Link to Cloud to return to the Clusters view. You should now be able to enter a name for your local machine (e.g. "local-sim") and click Create cluster.

  4. At this point your local machine should now be linked to the cloud in your new default ("local-sim") cluster.


You are now ready to run simulations. Follow the instructions in Running the Simulator to run your first simulation.