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build(linux): add ubuntu 24.04 (#2326)

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ReenigneArcher 2024-04-03 21:50:03 -04:00 • committed by GitHub
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1
docs/source/about/setup.rst
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@ -47,6 +47,7 @@ Install
sunshine-fedora-39-{arch}.rpm 12.4.0 525.60.13 50;52;60;61;62;70;75;80;86;90
sunshine-ubuntu-20.04-{arch}.deb 11.8.0 450.80.02 35;50;52;60;61;62;70;75;80;86;90
sunshine-ubuntu-22.04-{arch}.deb 11.8.0 450.80.02 35;50;52;60;61;62;70;75;80;86;90
sunshine-ubuntu-24.04-{arch}.deb 11.8.0 450.80.02 35;50;52;60;61;62;70;75;80;86;90
=========================================== ============== ============== ================================
.. tab:: AppImage

54
docs/source/building/linux.rst
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@ -142,7 +142,6 @@ Update gcc alias
Ubuntu 22.04
^^^^^^^^^^^^
End of Life: April 2027
Install Requirements
.. code-block:: bash
@ -181,11 +180,64 @@ Install Requirements
nvidia-cuda-dev \ # CUDA, NvFBC
nvidia-cuda-toolkit # CUDA, NvFBC
Ubuntu 24.04
^^^^^^^^^^^^
Install Requirements
.. code-block:: bash
sudo apt update && sudo apt install \
build-essential \
cmake \
gcc-11 \
g++-11 \
libappindicator3-dev \
libavdevice-dev \
libboost-filesystem-dev \
libboost-locale-dev \
libboost-log-dev \
libboost-program-options-dev \
libcap-dev \ # KMS
libcurl4-openssl-dev \
libdrm-dev \ # KMS
libevdev-dev \
libminiupnpc-dev \
libmfx-dev \ # x86_64 only
libnotify-dev \
libnuma-dev \
libopus-dev \
libpulse-dev \
libssl-dev \
libva-dev \ # VA-API
libwayland-dev \ # Wayland
libx11-dev \ # X11
libxcb-shm0-dev \ # X11
libxcb-xfixes0-dev \ # X11
libxcb1-dev \ # X11
libxfixes-dev \ # X11
libxrandr-dev \ # X11
libxtst-dev \ # X11
nodejs \
npm \
nvidia-cuda-dev \ # CUDA, NvFBC
nvidia-cuda-toolkit # CUDA, NvFBC
Update gcc alias
.. code-block:: bash
update-alternatives --install \
/usr/bin/gcc gcc /usr/bin/gcc-11 100 \
--slave /usr/bin/g++ g++ /usr/bin/g++-11 \
--slave /usr/bin/gcov gcov /usr/bin/gcov-11 \
--slave /usr/bin/gcc-ar gcc-ar /usr/bin/gcc-ar-11 \
--slave /usr/bin/gcc-ranlib gcc-ranlib /usr/bin/gcc-ranlib-11
CUDA
----
If the version of CUDA available from your distro is not adequate, manually install CUDA.
.. tip:: The version of CUDA you use will determine compatibility with various GPU generations.
At the time of writing, the recommended version to use is CUDA ~11.8.
See `CUDA compatibility <https://docs.nvidia.com/deploy/cuda-compatibility/index.html>`__ for more info.
Select the appropriate run file based on your desired CUDA version and architecture according to