{\small \url{https://download.nvidia.com/XFree86/Linux-x86_64/304.137/README/supportedchips.html}}
-And, you can see what your specific hardware and software might support by running either \texttt{vainfo} or \texttt{vdpauinfo} from the command line. Partial examples of each are shown below.
+And, you can see what your specific hardware and software might support by running either \texttt{vainfo}
+(available in the libva-utils package) or \texttt{vdpauinfo} (available in the vdpauinfo package) from the
+command line. For example which "Profiles" your hardware can handle is listed in the output such as Main
+and High. Partial examples of each are shown below.
\begin{lstlisting}[numbers=none]
# vainfo
but it will not affect anything unless you have Cuda installed on your system and have built Cinelerra yourself with Cuda build enabled. To install it on your computer, you will need to do the following:
\begin{enumerate}
- \item Make sure you have the Nvidia proprietary library drivers for your graphics board already installed.
+ \item Make sure you have the Nvidia proprietary library drivers for your graphics board already installed and up to date.
\item Go to the Nvidia Cuda development website and choose one of the available operating system’s
such as Fedora, OpenSuse, CentOS, Ubuntu, $\dots$ at {\small \url{https://developer.nvidia.com/}}
\item You will be installing repositories by package -- this will be around 3 GB.
\item Also, install the Fusion repo, although it is unknown if necessary or not.
\end{enumerate}
-There is a very good set of directions on the website to just follow. Once you have installed the Cuda software on your computer, you must build Cinelerra yourself --
-the default flag for a build in the configure script for cuda is \textit{auto}. For Arch, and possibly
-other distros, you may have to supply the CUDA\_PATH if it is not in the standard place. This would be
+There is a very good set of directions on the website to just follow. Once you have installed the Cuda software on your computer, you must build Cinelerra yourself -- the default flag for a build in the configure script for cuda is \textit{auto}. For Arch, and possibly other distros, you may have to supply the CUDA\_PATH if it is not in the standard place. This would be
something like:
\begin{lstlisting}[numbers=none]
env CUDA_PATH=/opt/cuda
-OR if using the bash shell:
+#OR if using the bash shell:
export CUDA_PATH=/opt/cuda
\end{lstlisting}
For all distros you will need to add to the ./configure line in your build script, the following:
\begin{lstlisting}[numbers=none]
--with-cuda
-so your configure line will look something like this:
+#so your configure line will look something like this:
./configure --with-single-user --with-booby --with-cuda
\end{lstlisting}
-There are currently 4 available plugins for \textit{show and tell} that take advantage of the hardware acceleration of Cuda -- \textit{N\_Body} and \textit{Mandelbrot} as shown next (figure~\ref{fig:cuda-effects}), \textit{F\_scale\_cuda} and \textit{F\_yadif\_cuda}.
-
-\begin{figure}[htpb]
- \centering
- \begin{minipage}[h]{0.99\linewidth}
- \center{\includegraphics[width=0.99\linewidth]{images/n_body.png}} \\
- \end{minipage}
- \vfill
- \begin{minipage}[h]{0.7\linewidth}
- \center{\includegraphics[width=0.99\linewidth]{images/mandelbrot.png}} \\
- \end{minipage}
- \caption{N\_Body and Mandelbrot effects}
- \label{fig:cuda-effects}
-\end{figure}
+There are currently 2 available plugins for \textit{show and tell} that take advantage of the hardware acceleration of Cuda -- \textit{N\_Body} and \textit{Mandelbrot} (see \nameref{sec:cuda_plugins}).
An error you may see on your Cinelerra startup window when you have Cuda installed and try to run one of the 2 plugins is \textit{cudaErrorInsufficientDriver}. This indicates CUDA 10 (the current version at the time of this writing) is not compatible with the driver version on your computer. You can either:
projects / goodguy / cin-manual-latex.git / blobdiff