Hardware Acceleration for Linux endpoints with AMD GPUs

Starting from version 2.5, HDX RTME supports hardware acceleration for video compression on Linux thin clients or fat clients with AMD GPU. Specifically, for video encoding RTME uses VCE 2.0 or higher. Video decoding has limited support because of some technical limitations, and it is disabled in RTME by default.

OMX IL is used for offload video processing to GPU.

Hardware video encoding on Linux could be disabled by registry key DisableOnboardHardwareH264Encoding (DWORD value 1-disabled or 0-enabled by default) in HKEY_CURRENT_USERSoftwareCitrixHDXRTConnectorMediaEngine

Ubuntu 16.04 environment set-up

Install AMD driver stack from https://www.amd.com/en/support/kb/faq/amdgpu-installation

Install kernel (example command line, latest available version should be used):

sudo dpkg -i linux-image-4.4.11-289-amd+_4.4.11-289-amd+-10.00.Custom_amd64.deb linux-headers-4.4.11-289-amd+_4.4.11-289-amd+-10.00.Custom_amd64.deb

sudo reboot

Install userspace:

Create local repository as it is described in amdgpu_UserGuide.pdf or proceed manually with dpkg.

NOTE:

To verify available package versions:

apt-cache policy <package name>

To overwrite ‘man’ or header files:

-o Dpkg::Options::=”–force-overwrite” (apt-get)

–force-overwrite (dpkg)

In case of unmet dependencies, you can resolve them by installing strictly with dpkg -i, pulling needed packages alongside.

During these steps, please, prefer packages from AMD driver stack. For isntance you may install “llvm-5.0-dev=5.0-519”, while “llvm-5.0-dev” will set up the latest Ubuntu package.

libllvm5.0 llvm-5.0-dev llvm-5.0-runtime llvm-5.0

llvm-runtime llvm-dev llvm

libdrm-dev libdrm-amdgpu1 libdrm-radeon1 libdrm2

libdrm-dev libdrm-amdgpu1 libdrm-radeon1 libdrm2

libva-dev libva1 libva-drm1 libva-egl1 libva-glx1 libva-tpi1 libva-wayland1 libva-x11-1 vainfo apt-cache policy libva-dev libva1 libva-drm1 libva-egl1 libva-glx1 libva-tpi1 libva-wayland1 libva-x11-1 vainfo

libegl1-mesa-dev libegl1-mesa-drivers libegl1-mesa libgbm-dev libgbm1 libgl1-mesa-dev libgl1-mesa-dri libgl1-mesa-glx libglapi-mesa libgles1-mesa-dev libgles1-mesa libgles2-mesa-dev libgles2-mesa libosmesa6-dev libosmesa6 libwayland-egl1-mesa libxatracker-dev libxatracker2 mesa-common-dev mesa-omx-drivers mesa-vdpau-drivers

gst-omx xserver-xorg-video-amdgpu

Install bellagio:

libomxil-bellagio0 (Generic core OMXIL implementation)

libomxil-bellagio-bin (to register available OMX components)

Register these components run omxregister-bellagio (from libomxil-bellagio-bin) with the noted above path.

  • Run omxregister-bellagio -l and you should get the following output:
  • *********************************
  • * List of registered components *
  • *********************************
  • Component OMX.mesa.video_decoder
  • supported formats:
  • OMX.mesa.video_decoder.mpeg2
  • OMX.mesa.video_decoder.avc
  • Component OMX.mesa.video_encoder
  • supported formats:
  • OMX.mesa.video_encoder.avc
  • Installed components and a path to the library are stored in an OMX registry file:
  • $ cat ~/.omxregister
  • /usr/lib/libomxil-bellagio0/libomx_mesa.so
  • ==> OMX.mesa.video_decoder ==> OMX.mesa.video_decoder.mpeg2:OMX.mesa.video_decoder.avc:
  • ==> OMX.mesa.video_encoder ==> OMX.mesa.video_encoder.avc:

Driver requirements:

These are described in AMD’s site https://www.amd.com/en/support/kb/faq/amdgpu-installation

RTME uses OMX API for video encoding and decoding.

This API is implemented by Bellagio OpenMAX IL (libomxil-bellagio0 and libomxil-bellagio-bin).


Hardware requirements: AMD GPU with VCE 2.0 or above. Specifically, Citrix is using Mullins and Carrizo.

Known limitations:

video encoding is supported on Mullins series only. Carrizo series were tested too, but problems were found with unstable video bitrate. As a result, a stream was encoded with poor quality.

video decoding is disabled by default, and could be enabled from registry on VDA. It was done because HW decoder introduces high latency up to 500ms.

It was found that described limitations became visible only on Linux platforms. The same GPU works great on Windows endpoints.

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“workItems”: []

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