Ptolemy: A Framework for Simulating and Prototyping Heterogeneous Systems

Ptolemy: A Framework for Simulating and Prototyping Heterogeneous Systems

August 31, 1992 | Joseph Buck, Soonhoi Ha, Edward A. Lee, David G. Messerschmitt
Ptolemy is a simulation and prototyping framework designed for heterogeneous systems, particularly those involving signal processing and communications. It leverages modern object-oriented programming (OOP) principles to model and integrate subsystems, supporting a wide range of design styles and computational models. The core of Ptolemy is a set of object-oriented class definitions that allow for the creation of generic and specialized objects, with a focus on flexibility and interoperability. Key features include: - **Agility**: Support for distinct computational models to model subsystems naturally. - **Heterogeneity**: Allow different computational models to coexist seamlessly. - **Extensibility**: Seamless integration of new computational models. - **Friendliness**: A modern graphical interface for easy user interaction. Ptolemy supports various domains such as synchronous and dynamic dataflow, discrete-event, and others, which can be mixed to simulate complex systems. It also includes tools for code generation, allowing for the synthesis of real-time prototypes and hardware designs. Applications of Ptolemy include multimedia networks, signal processing, hardware-software co-design, and more. The framework is implemented in C++ and has been successfully used in various simulation and prototyping tasks.Ptolemy is a simulation and prototyping framework designed for heterogeneous systems, particularly those involving signal processing and communications. It leverages modern object-oriented programming (OOP) principles to model and integrate subsystems, supporting a wide range of design styles and computational models. The core of Ptolemy is a set of object-oriented class definitions that allow for the creation of generic and specialized objects, with a focus on flexibility and interoperability. Key features include: - **Agility**: Support for distinct computational models to model subsystems naturally. - **Heterogeneity**: Allow different computational models to coexist seamlessly. - **Extensibility**: Seamless integration of new computational models. - **Friendliness**: A modern graphical interface for easy user interaction. Ptolemy supports various domains such as synchronous and dynamic dataflow, discrete-event, and others, which can be mixed to simulate complex systems. It also includes tools for code generation, allowing for the synthesis of real-time prototypes and hardware designs. Applications of Ptolemy include multimedia networks, signal processing, hardware-software co-design, and more. The framework is implemented in C++ and has been successfully used in various simulation and prototyping tasks.
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[slides and audio] Ptolemy%3A A Framework for Simulating and Prototyping Heterogenous Systems