Select Specific GPU For Zivid Software

This article demonstrates how to specify a computational device for Zivid Software. You should consider this if you have multiple GPUs and want to use a specific one. This can be one integrated GPU and one or more dedicated GPUs.

Note

Make sure that the GPU Requirements for Zivid are met.

1. Download the Config.yml file.

   The config file contains the following information:

   __version__: 4
   Configuration:
       ComputeDevice:
           SelectionFilter: ""
           Type: GPU
           Vendor: Nvidia
   

2. Place the config file in the following directory:

   Windows

   mkdir %LOCALAPPDATA%\Zivid\API
   move %HOMEPATH%\Downloads\Config.yml %LOCALAPPDATA%\Zivid\API\
   

   Ubuntu

   mkdir --parents "${XDG_CONFIG_HOME-$HOME/.config}"/Zivid/API
   mv ~/Downloads/Config.yml "${XDG_CONFIG_HOME-$HOME/.config}"/Zivid/API/
   

Caution

Zivid configuration files must use .yml file extension ( not .yaml).

1. The desired GPU (if it is known) is assigned by changing the config file ComputeDevice parameters:

2. If you have a single GPU per vendor (e.g. an integrated Intel GPU and a dedicated NVIDIA GPU), change Type to GPU and Vendor to NVIDIA, Intel or AMD, e.g.

   ComputeDevice:
       SelectionFilter: ""
       Type: GPU
       Vendor: NVIDIA
   

3. If you have multiple GPUs of the same vendor (e.g. two AMD GPUs), write something in the selection filter, e.g. “something” and leave Type and Vendor as Any, e.g.

   ComputeDevice:
       SelectionFilter: "something"
       Type: Any
       Vendor: Any
   

   Start Zivid Studio. An error message like this should appear:

   

   Change the SelectionFilter to any unique part of the string that describes the desired available devices, e.g.

   ComputeDevice:
       SelectionFilter: "620"
       Type: Any
       Vendor: Any
   

4. To verify the changes, re-launch Zivid Studio and go to Help → About Zivid Studio → System Info → Compute Device Info. The selected device can be seen under Device info.

   

Run SDK on CPU only

Caution

While it is possible to run SDK on CPU only, this is not a supported feature.

It is possible to run the Zivid SDK on a Intel chip set using their OpenCL runtime and the following configuration:

__version__: 4
Configuration:
  ComputeDevice:
    Type: CPU

Warning

• Capture time will be greatly increased when using CPU-only instead of GPU and is not a recommended mode for most applications.

• This feature is not supported and not well tested. Please contact customersuccess@zivid.com if you have issues.