This tutorial attempts to give a basic overview of the design philosophy and structure of the FleCSI programming system. Each subdirectory contains an example code that can be compiled with the flecsit compiler script. More details on how to do this are given below in the Getting Started section.
FleCSI Design Philosophy¶
The structure of applications built on top of the FleCSI programming system assumes three basic types of users. Each of the user types has their own set of responsibilities that are designed to separate concerns, and to make sure that development tasks are intuitive and achievable by the associated user type.
The user types are:
FleCSI Core Developer
These are users who design, implement, and maintain the core FleCSI library. Generally, these users are expert C++ developers who have a well-developed understanding of the the low-level design of the FleCSI software architecture. These users are generally computer scientists with expertise in generic programming techniques, data structure design, and optimization.
FleCSI Specialization Developer
These are users who adapt the core FleCSI data structures and runtime interfaces to create domain-specific interfaces for application developers. These users are required to understand the components of the FleCSI interface that can be statically specialized, and must have a solid understanding of the runtime interface. Additionally, specialization developers are assumed to understand the requirements of the application area for which they are designing an interface. These users are generally computational scientists with expertise in one or more numerical methods areas.
FleCSI Application Developer
These users are methods developers or physicists who use a particular FleCSI specialization layer to develop and maintain application codes. These are the FleCSI end-users, who have expertise in designing and implementing numerical methods to solve complicated, multiphysics simulation problems.
The source code implementing a FleCSI project will reflect this user structure: The project will link to the core FleCSI library; The project will use one or more specializations (These will usually also be libraries that are linked to by the application.); and, The application developers will use the core and specialization interfaces to write their applications.
This tutorial is primarily designed as an introduction for application developers, i.e., we do not go into the details of designing or implementing the specialization layer, and the discussion of core FleCSI features is limited to the high-level execution and data interfaces.
Because a specialization layer is necessary to use FleCSI, we have provided a simple mesh interface as part of the tutorial. Users who are interested in the basic structure of a mesh_topology specialization are encouraged to examine the source code in the specialization subdirectory of this tutorial (The complete source code is in the flecsi/tutorial/specialization subdirectory of the main project.)
This tutorial assumes that you have successfully downloaded and built FleCSI, and that you have installed it somewhere on your system. Instructions for building FleCSI are available here: Building FleCSI
Using the Docker Container¶
The tutorial is also available as a Docker container. This simplifies getting and installing FleCSI and its dependencies. To use the Docker container, you should have the Docker daemon installed on your system. Docker is available for several different platforms from the Docker Website.
To pull the tutorial image, do:
$ docker pull laristra/flecsi-tutorial:latest
This will download the image to your machine. Once the pull is complete, you can run the image like:
$ docker run -it -h tutorialhost -u flecsi laristra/flecsi-tutorial:latest /bin/bash
This will place you into a bash prompt, from which you can build and run the tutorial examples. The tutorials are in the tutorial directory in the Docker container.
Note: You can also pull a Docker image for a specific runtime, e.g., mpi or legion. The default image latest is built against the MPI backend. To pull the legion backend image do:
$ docker pull laristra/flecsi-tutorial:legion
The tutorial examples are designed to guide the reader through basic to more advanced FleCSI concepts.
- Building the Examples
- Example 1: Driver
- Example 2: Tasks
- Example 3: Index Spaces
- Example 4: Fields
- Example 5: Dense Data
- Example 6: Sparse Data
- Example 7: Ragged Data
- Example 8: MPI Interoperability