\chapter{Introduction} \eWoms~\cite{EWOMS-HP} a generic simulation framework using continuum mechanical approaches with a focus on multi-phase fluid flow and transport processes in porous media. \eWoms is also an integral part of the open porous media initiative~\cite{OPM-HP} for which it implements the fully-implicit discretization schemes. \eWoms is based on the source code of the \Dumux~\cite{DUMUX-HP} simulation framework and aims to be a proper superset of \Dumux when it comes to features, while at the same time it delivers better performance and a higher-quality code base. To ease porting features from \Dumux to \eWoms, the \eWoms source code uses very similar naming and style conventions as the one of \Dumux. Besides being a generic simulation framework, \eWoms also aims to to deliver top-notch computational performance, high flexibility, a sound software architecture and the ability to run on anything from single processor systems to highly parallel supercomputers with specialized hardware architectures. The means to achieve these somewhat contradictory goals are the thorough use of object oriented design in conjunction with template programming. These requirements motivated the decision to implement \eWoms using the \Cplusplus programming language. One of the more complex issues when dealing with parallel continuum models for partial differential equations, is the management of the grids used for the spatial discretization. To date, no generic and efficient approach exists for all possible cases, which lead to \eWoms being build on top of \Dune, the \textbf{D}istributed and \textbf{U}nified \textbf{N}umerics \textbf{E}nvironment~\cite{DUNE-HP}. Instead of trying to implement a grid for everything, \Dune defines a generic \Cplusplus interface to grids, and provides adapters to several existing grid management libraries such as UG~\cite{UG-HP}, ALBERTA~\cite{ALBERTA-HP} or ALUGrid~\cite{ALUGRID-HP}. DUNE also extensively uses template programming in order to achieve minimal overhead when accessing the underlying grid libraries\footnote{In fact, the performance penalty resulting from the use of \Dune's grid interface is usually negligible~\cite{BURRI2006}.}. \begin{figure}[hbt] \centering \includegraphics[width=.5\linewidth, keepaspectratio]{EPS/dunedesign} \caption{ \label{fig:dune-design} A high-level overview of \Dune's design is available on the project's web site~\cite{DUNE-HP}. } \end{figure} DUNE's grid interface is independent of the spatial dimension of the underlying grid. For this purpose, it uses the concept of co-dimensional entities. Roughly speaking, an entity of co-dimension $0$ constitutes a cell, co-dimension $1$ entities are faces between cells, co-dimension $1$ are edges, and so on until co-dimension $n$ which are the cell's vertices. The \Dune grid interface generally assumes that all entities are convex polytopes, which means that it must be possible to express each entity as the convex hull of a set of vertices. For the sake of efficiency, all entities are further expressed in terms of so-called reference elements which are transformed to the actual spatial incarnation within the grid by a so-called geometry function. Here, a reference element for an entity can be thought of as a prototype for the actual grid entity. For example, if we used a grid which applied hexahedrons as cells, the reference element for each cell would be the unit cube $[0, 1]^3$ and the geometry function would scale and translate the cube so that it matches the grid's cell. For a more thorough description of \Dune's grid definition, see~\cite{BASTIAN2008}. In addition to the grid interface, \Dune also provides quite a few additional modules; In the context of this handbook the \texttt{dune-localfunctions} and \texttt{dune-istl} modules are probably the most relevant. \texttt{dune-localfunctions} provides a set of generic finite element shape functions, while \texttt{dune-istl} is the \textbf{I}terative \textbf{S}olver \textbf{T}emplate \textbf{L}ibrary and provides generic, highly optimized linear algebra routines for solving linear systems of equations. \eWoms comes in form of a module \Dune module '\texttt{ewoms}'. It depends on the \Dune core modules \texttt{dune-common}, \texttt{dune-grid}, \texttt{dune-istl}, and on \texttt{dune-localfunctions}. The main intention of \eWoms is to provide a framework for an easy and efficient implementation of new physical models for porous media flow problems, ranging from problem formulation and the selection of spatial and temporal discretization schemes as well as nonlinear and linear solvers, to general concepts for model coupling. Moreover, \eWoms includes ready-to-use numerical models and a few example applications. %%% Local Variables: %%% mode: latex %%% TeX-master: "ewoms-handbook" %%% End: