Dossier: SimRace 2015: Numerical Methods and High Performance Computing for Industrial Fluid Flows
Open Access
Oil Gas Sci. Technol. – Rev. IFP Energies nouvelles
Volume 71, Number 4, Juillet–Août 2016
Dossier: SimRace 2015: Numerical Methods and High Performance Computing for Industrial Fluid Flows
Article Number 57
Number of page(s) 8
Published online 08 August 2016

© B. Lelandais and M.-P. Oudot, published by IFP Energies nouvelles, 2016

Licence Creative CommonsThis is an Open Access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


The Modane application presented in this article in version 1.0, is a design support tool for numerical simulation codes based on Arcane. Arcane is a C++ development platform for 2D and 3D numerical simulation codes [1]. It aims at taking over the technical aspects of coding in order to accelerate the development of physical and numerical modules, and also to ensure good performance of execution. Arcane was born in 2000 at CEA-DAM [2] and is co-developed with IFP Energies nouvelles [3] since 2007. It is proprietary software of these two companies.

Modane allows to graphically describe the static part of a numerical simulation code:

  • components: variables, modules, services, structures, etc.

  • relationships between components: implementation, inheritance and composition.

It also generates a portion of the source code of the future simulation software.

Modane does not tackle the algorithmic part of the code. Some tools like Archimede [4] include a graphical interface to specify algorithms. Others define a DSL (Domain Specific Language) for writing the body [5] of operations. Modane has no such ambitions and does not prevent developers using these tools. Its purpose is just to build the architecture of the application and explicitly define the couplings between the individual components that compose it.

Therefore, Modane does not directly address the problem of parallelism encountered in HPC (High Performance Computing) applications except for function supports (see the end of Sect. 2.4). However, the generated C++ code is dedicated to Arcane that supports parallel simulation codes. Also, by using Modane, we expect to increase simulators modularity to facilitate optimization by part.

This article presents the main objectives of Modane as well as functional and technical choices made to achieve them.

1. Background and Objectives

1.1. From Requirements to Source Code

Simulators achieved since 2000 highlight how complex the way from requirements to source code is. The engineers in charge of the development of numerical simulation codes have, for a majority of them, a background in mathematics. They can easily tackle the requirement process and capture, for instance, specifications in a Latex document. Then, they are faced with a significant amount of concepts and technologies to design the physics module they have specified: the Object Oriented paradigm, the complexity of the C++ language, parallelism, etc. Consequently, the design process takes up too much time.

We ran several UML (Unified Modeling Language) analyzes [6], [7] to help the development of new physics modules. They did not significantly reduce the delay between the requirements and the source code but they demonstrated the interest to propose a graphical view of the design.

We so decided to build a tool to facilitate the development process by transforming graphical requirements into software components. It aims at reducing the time between the end of the requirements and the first lines of C++ source code.

1.2 Capture and Share “Business” Knowledge

In our current simulation codes, knowledge is shared between the specification document and the source code. Very few design documents describe the layout of key business concepts within the software. As time goes by, source code becomes the only real source of knowledge where it remains tricky to find business information lost in C++ classes, going from basic types to main physics components.

Even if our simulators include documentations processed by Doxygen [8] as HTML reports, they don’t provide a “coarse grained” document, showing key business concepts that structure the application.

Modane aims at graphically shaping the architecture of the application around its key business concepts into a model that can be shared and exchanged to facilitate collaborative work.

1.3 Improve the Quality of the Design

In spite of the opportunities offered by Arcane, physics modules remain monolithic and coupling problems yesterday encountered within codes appeared today inside modules. Consequently modules have to be regularly refactored. Their lifetime is between one and three years which is too short relative to the business complexity, whose requirement process lasts several months.

A closer look at the code of our simulators reveals the following design errors:

  • developers do not create interfaces, and when they do, interfaces only remain a few months before becoming classes containing shared code because, in the C++ language, interfaces are implemented with classes;

  • classes contain many lines of code. They grow up over time and exceed their scope because developers are reluctant to create new ones and to manage file inclusions;

  • there are too many couplings between classes. During the design stage, “business” dependencies are created between components of the application. During the coding stage, some relationships are added just for technical reasons creating unjustified links between components;

  • inheritance is misused. For an object-oriented technology newcomer, inheritance appears as a miracle answer to share code. Over time, the inheritance tree becomes deep with overloading methods at several levels of depth.

Modane aims at preventing these design errors.

1.4. Improve the Quality of the Source Code

To improve the homogeneity of the source code, Modane aims at offering a C++ code generator including design templates and naming rules.

2. Chosen Solution

2.1. Overview

To meet these objectives, Modane offers a GUI (Graphical User Interface) for capturing business knowledge and applies validation rules on the entered elements. It also provides code generators allowing the developer to maintain the architecture of the simulator in accordance with the input knowledge entered in the GUI.

The graphical interface allows to:

  • graphically create components coming from specifications that will structure the software;

  • navigate through the model and create graphical views;

  • apply a set of model validation rules and expose errors on the model.

This interface and the generators are built on a model describing numerical simulation concepts identified by Arcane: variable, module, entry point, etc.

From a technology point of view, our business model is based on Eclipse EMF (Eclipse Modeling Framework) [9] and generators on Xtend [10]. These choices were led for the sake of homogeneity: these technologies are already used in other projects of our software stack. To get an integrated product, we should have created the GUI within Eclipse. Two solutions were studied in this respect: GMF (Graphical Modeling Framework) and GEF (Graphical Editor Framework) [11]. However, the estimated development cost was deemed too high to finalize a first version of the tool. Besides, our development teams use Magicdraw UML modeler. This product supports the concept of profiles and provides customization options. Hence, rather than having a dedicated GUI, we decided to tune MagicDraw.

This solution implies creating a UML profile coming from our business model and developing validation rules using MagicDraw Java API. But benefits are numerous: It is fast to get a first version of the interface, research tools on the model are powerful and presentation of error messages on the graphical view is convincing. The UML profile, graphic customization of the tool, definitions of diagram and validation rules are packaged in a module deployed in MagicDraw as a plug-in. The complete product has a very effective graphical interface, but the drawback is that models defined by users have to be exported from Magicdraw to Eclipse to trigger code generators and achieve C++ development.

The whole process can be summed up this way:

  • graphically create a model within MagicDraw GUI thanks to the Modane plug-in. MagicDraw stores the project in a proprietary format;

  • export the Magicdraw project in the UML2 EMF format;

  • generate and write the code inside Eclipse: models in EMF format are created during this process and are the knowledge base to generators.

To prevent switching from Magicdraw to Eclipse, one solution would have been to write code generators inside Magicdraw. However we decided to avoid using the legacy API or UML2 model API because we keep in mind the opportunity to offer an Eclipse integrated tool.

2.2. Business Model

Our business model is based on the main concepts of the Arcane platform [1]. It is the backbone of the application: the UML profile is based on these concepts, classes and functions used by code generators also.

The model is composed of mesh components such as cells, nodes or faces and basic types: integer, real, real vector linked to the mesh sizes, tensor, etc. It also contains variables representing physical quantities, such as temperature or pressure.

Structures and enumerations have the same meaning as in programming languages.

Modules are the basic components of the simulator. They usually represent physics, such as hydrodynamic or thermic. They are made up of options and entry points. The options define the parameters of the module. The entry points are module’s operations which are visible from Arcane. The sequencing of modules operations can be configured within Arcane.

Interfaces have the same meaning as in programming languages. They contain a set of functions performed by the contract as defined by the interface. The functions have, of course, arguments and may be supported by a mesh element. It is for example possible to define a function for a cell (see the end of Sect. 2.4). Each entry point or function specifies the list of input and output variables (Fig. 1) and called functions.

thumbnail Figure 1.

Functions and entry points.

Services can represent multiple implementations of the same interface. They implement the interface’s functions and they may include options just like modules.

Model elements are organized into packages.

The model was designed to avoid the design errors described in Section 2. The inheritance was limited on purpose: a structure can inherit another structure, an interface can inherit from another interface. A service can implement one interface. Regarding relationships, structures, modules, services and interfaces may have an association on a structure, an enumeration or interface (Fig. 2).

thumbnail Figure 2.

Inheritance and associations.

2.3. GUI and Checking Engine

The GUI allows to:

  • create diagrams representing parts of the application (Fig. 3: Part 3). Only one type of diagram is required for this first release. This diagram includes a palette (Fig. 3: Part 2) to create objects defined in the model and relationships between these objects: association, inheritance, etc. Note that the user can create as many diagrams as he wishes;

    thumbnail Figure 3.

    Main window.

  • view the entire model tree form (Fig. 3: Part 1). Although diagrams show the components graphically, they only show a part of the objects;

  • perform advanced searches on created objects: by name, type, use, dependence, etc.;

  • trigger a model checker with custom set of rules. These rules produce different error levels (info, warning, error). Error messages are shown at the bottom of the screen (Fig. 3: Part 4). Elements holding an error are highlighted in red in the diagrams (Fig. 3: Part 3) and wear a red dot in the model tree (Fig. 3: Part 1).

Figure 4 shows an example of a diagram. Each of the rectangles represents a model object. The symbol in the top right of the rectangle and the background color are specific to each object type. The diagram shows MicroHydro module, the BoundaryConditionType enumeration, BoundaryCondition structure, EquationOfState interface and PerfectGas and StiffenedGas services.

thumbnail Figure 4.

Model example.

This diagram also distinguishes two types of relations:

  • associations for options: MicroHydro has an option named BoundaryCondition of type BoundaryConditionType;

  • implementations of EquationOfState interface by PerfectGas and StiffenedGas services.

The diagram also presents the options and entry points of the MicroHydro module and the functions of the interface and its services.

It is possible to display, for each object, a specific property window. These windows have been customized in accordance with our UML profile (Fig. 5).

thumbnail Figure 5.

Entry point property window.

We previously saw that the model is designed to limit design errors. The graphical interface strives toward that goal:

  • lack of interfaces: the component palette (Fig. 3: Part 2) facilitates the creation of interfaces. These interfaces will become fully generated and non-editable C++ classes in the source code (automatically regenerated and overwritten at each generation). Therefore they will never host practical methods, often inserted there to share code;

  • excessive class size: once again, the palette facilitates the creation of new components and so limits the size of classes. The model defines a role for each component that cannot easily be stepped out: for example, it is forbidden to send a module or service as argument;

  • too many couplings: the model limits coupling constructions. Moreover, business relations are graphically highlighted (Fig. 4) to help developers to create associations representing real “business” collaborations. Technical couplings (mainly inheritances) are left to code generators.

Of course, users do not need to build their whole application with Modane. Some classes can directly be implemented in C++. Then, the quality of their design depends on the engineer’s experience. In this context, the code generated by Modane can be used as a template.

2.4 Code Generators

The MagicDraw export option provides a file with the ‘uml’ extension. The user simply needs to select it in Eclipse browser to trigger the generation using a contextual menu. Generation options are set through a dialog box.

Modane will then:

  • transform UML model into EMF model;

  • apply some transformations on the EMF model: creation of default services, assignment of default values, etc.;

  • generate all modules and services descriptors, XML files required by Arcane;

  • generate interfaces, modules and services parent classes and data structures;

  • generate skeleton classes for modules and services. These classes are dedicated to the developer who will fill them in with business algorithms. These classes are created only during the first code generation. They are never overwritten.

The C++ generator works like most GUI editors: final classes used by developers are created during the first generation and they inherit from fully generated classes. Another solution would have been to regenerate all the files. In this case, developers would have been asked to fill in method bodies between tags marking the beginning and end of editable areas. However, most of them do not subscribe to this mechanism that makes them lose the ownership of their files such as presentation or indentations.

Figure 6 shows an example of a user who defined a MicroHydro module in Modane. The generator will provide the module descriptor MicroHydro.axl, the base class of the module MicroHydroModuleBase and the MicroHydroModule class with the skeletons of entry points defined in the model as hydroStartInit. The user has to fill in the body of the entry points.

thumbnail Figure 6.

The generation process, example of a module.

To illustrate the contribution of the generation process on a function with a support, let’s take the example of a service containing a function f (…) with a Cell type support. The following items will be generated:

  • in the service interface, an abstract method f(ConstCellVectorView items, etc.). This method allows the caller to provide the cell group to iterate;

  • in the base class, the actual method that implements that interface. This method will loop over all group elements and trigger the process corresponding to a cell;

  • in the base class, an abstract method f(const Cell cell, etc.). The developer will fill it in the subclass with the processing to be performed for a cell.

It is possible to mark the functions as “not parallel” in the model, such as when they contain interdependent iterations. For all other functions, generated loops use the Arcane ParallelForEach class to ensure multithread execution.

As regards documentation, any element of the model can include a description which is sent out to the C++ source code as Doxygen comment. In addition, the generator uses lists of variables and calls of functions to incorporate an interactive Dot graph as Doxygen comment (Fig. 7).

thumbnail Figure 7.

Graph in the documentation.


This article introduces the Modane software that helps to design numerical simulation codes based on the Arcane framework, describing its objectives, its architecture and its functionalities.

The development began in September 2011 and the software has been made available to users since April 2012. Since then, it has undergone various fixes and improvements but no major changes. Since mid-2013, the business model is stable: changes mainly concern code generation.

Users acknowledge a real efficiency gain: Modane improves overview of the overall architecture of the simulator and a rapid integration of new collaborators.

A review is currently underway to quantify the contributions of Modane. It will determine the new features and product strategy to improve its usefulness.


  • Grospellier G., Lelandais B. (2009) The Arcane development framework, POOSC ‘09: Proceedings of the 8th workshop on Parallel/High-Performance Object-Oriented Scientic Computing, Genova, Italy, 1-11. [Google Scholar]
  • CEA-DAM Available at: [Google Scholar]
  • IFPEN Available at: [Google Scholar]
  • Lugato D. (2008) Model-driven engineering for high-performance computing applications, Proceedings of Modeling and Simulation Conference, Quebec City, Quebec, Canada, 1-8. [Google Scholar]
  • Di Pietro D., Gratien J.M., Häberlein F., Michel A., Prud'homme C. (2009) Basic concepts to design a dsl for parallel finite volume applications: extended abstract, POOSC '09: Proceedings of the 8th workshop on Parallel/High-Performance Object-Oriented Scientic Computing, Genova, Italy, 1-11. [Google Scholar]
  • Muller P.A. (1997) Modélisation objet avec UML, Eyrolles, Paris. [Google Scholar]
  • Booch G., Rumbaugh J., Jacobson I. (1999) The Unified Modeling Language User Guide, Addison Wesley, Boston. [Google Scholar]
  • Doxygen Available at: [Google Scholar]
  • Moore B., Dean D., Gerber A., Wagenknecht G., Vanderheyden P. (2004) Eclipse development using the graphical editing framework and the eclipse modeling framework, IBM Redbooks. [Google Scholar]
  • Xtend Available at: [Google Scholar]
  • Steinberg D., Budinsky F., Paternostro M., Merks E. (2008) EMF Eclipse Modeling Framework, Addison Wesley, Boston. [Google Scholar]

Cite this article as: B. Lelandais and M. Oudot (2016). Modane: A Design Support Tool for Numerical Simulation Codes, Oil Gas Sci. Technol 71, 57.

All Figures

thumbnail Figure 1.

Functions and entry points.

In the text
thumbnail Figure 2.

Inheritance and associations.

In the text
thumbnail Figure 3.

Main window.

In the text
thumbnail Figure 4.

Model example.

In the text
thumbnail Figure 5.

Entry point property window.

In the text
thumbnail Figure 6.

The generation process, example of a module.

In the text
thumbnail Figure 7.

Graph in the documentation.

In the text

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