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CD++ is a tool for Discrete-Event modeling and simulation, based on the DEVS formalism. Different simulation algorithms are implemented:
- standalone (single CPU),
- server (the simulator can be installed as a server accessible through TCP/IP sockets),
- real time (the simulator is tied to the real-time clock),
- Embedded (E-CD++; the simulator uses the real-time clock and can be embedded in single-board computers),
- Parallel (over a linux cluster or Windows-based PC clusters),
- Distributed (over Web Services).

This Wiki focuses only on tool-related aspects. If needed, the reader can refer to the following references for better understanding of DEVS and Cell-DEVS related topics (available at http://www.sce.carleton.ca/faculty/wainer):

"CD++: a toolkit to define discrete-event models". G. Wainer. In Software, Practice and Experience. Wiley. Vol. 32, No.3. November 2002. pp. 1261-1306

"A framework for remote execution and visualization of Cell-DEVS models". G. Wainer, W. Chen. In Simulation: Transactions of the Society for Modeling and Simulation International. November 2003. pp. 626-647.

"N-Dimensional Cell-DEVS". G. Wainer, N. Giambiasi. In Discrete Events Systems: Theory and Applications, Kluwer. Vol. 12, No. 1. January 2002. pp. 135-157. "Timed Cell-DEVS: modeling and simulation of cell spaces". G. Wainer, N. Giambiasi. In Discrete Event Modeling & Simulation: Enabling Future Technologies. Springer-Verlag. 2001.

DEVS is a discrete event paradigm that allows a hierarchical and modular description of the models. Each DEVS model can be behavioral (atomic) or structural (coupled), consisting of inputs, outputs, state variables, and functions to compute the next states and outputs. Cell-DEVS allows modeling systems that can be represented as executable cell spaces. For more information about DEVS and Cell-DEVS models please refer to: http://www.sce.carleton.ca/faculty/wainer/celldevs/introduction.html. From now on, a complete understanding of DEVS and Cell-DEVS models is assumed. Details about the DEVS formalism can be found in:

“Theory of Modeling and Simulation”. B. Zeigler, H. Praehofer, T. G. Kim. 2nd Edition. Academic Press. 2000.