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In order to take advantage of multicore processors and high performance computing clusters, many functions and methods in cameo where implemented in a parallel mode.
Methods that can run in parallel mode have a \emph{view} keyword argument that enables the user to select different parallelization strategies based on a simple API (see documentation ...).
This way computations can easily be scaled depending on the available infrastructures.

\begin{minted}{python}
	from cameo.parallel import MultiprocessingView
    # ...
\end{minted}