| J. Eker, J. W. Janneck, E. A. Lee, J. Liu, X. Liu, J. Ludvig, S. Neuendorffer, S. Sachs, and Y. Xiong. Taming heterogeneity---the Ptolemy approach. Proceedings of the IEEE, 91(1):127-- 144, January 2003. |
....it is used for the simulation of ForSyDe models. 2.1 Models of Computation System models are usually defined by a number of concurrent processes. A model of computation (MoC) defines how computation takes place in a structure of concurrent processes, thus giving a semantics to such a structure [28]. This semantics can be used to formulate an abstract machine that is able to execute a model. Languages are not computational models, but have underlying computational models. For instance the sequential imperative languages C, Pascal or Fortran share all the same imperative sequential ....
....to the application domain. It is also possible to express a state in an FSM by a process network of a specific model of computation. charts has been used to describe hierarchical FSMs that are composed using data flow, discrete event and synchronous models of computations. The Ptolemy project [28] studies heterogeneous modeling, simulation, and design of concurrent systems . It is implemented in the Ptolemy II software environment [55] that provides support for hierarchically combining a large variety of models of computation and allows hierarchical nesting of the models . The basic ....
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J. Eker, J. W. Janneck, E. A. Lee, J. Liu, X. Liu, J. Ludvig, S. Neuendorffer, S. Sachs, and Y. Xiong. Taming heterogeneity---the Ptolemy approach. Proceedings of the IEEE, 91(1):127--144, January 2003.
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J. Eker, J. W. Janneck, E. A. Lee, J. Liu, X. Liu, J. Ludvig, S. Neuendorffer, S. Sachs, Y. Xiong, "Taming Heterogeneity-the Ptolemy Approach," Proceedings of the IEEE, V. 91, No 1, January 2003.
....and modification in that subsystem are restrained within that level. Hierarchies can be used in unified models to manage syntactic complexity, as seen in Simulink. A more effective use of hierarchy is to mange heterogeneity in models of computation, an approach called hierarchical heterogeneity [10]. This approach constrains each level of interconnected actors to be locally homogeneous, while allowing different models of computation to be specified at different levels in the hierarchy. A well defined model of computation at the same level improves the understandability of the system, and ....
J. Eker, J.W. Janneck, E.A. Lee, J. Liu, X. Liu, J. Ludvig, S. Neuendorffer, S. Sachs, and Y. Xiong, "Taming Heterogeneity---the Ptolemy Approach," submitted to Proceedings of the IEEE.
....architecture for components and their composition. Actors encapsulate components; ports represents the communication among components; directors implement models of computation that guard the interaction styles among actors. A more formal and complete discussion of the actor model can be found in [13] and is out of the scope of this paper. However, we focus on two specific aspects modal models and signal type systems, which are essential for modeling mixed signal and hybrid systems. 3.1 Actors and Ports In the actor model, the basic building blocks of a system are components called ....
J. Eker, J.W. Janneck, E.A. Lee, J. Liu, X. Liu, J. Ludvig, S. Neuendorffer, S. Sachs, and Y. Xiong, "Taming Heterogeneity --- the Ptolemy Approach," to appear in Proceedings of the IEEE.
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Johan Eker, Jorn W. Janneck, Edward A. Lee, Jie Liu, Xiaojun Liu, Jozsef Ludvig, Stephen Neuendor#er, Sonia Sachs, and Yuhong Xiong. Taming heterogeneity---the Ptolemy approach. Proceedings of the IEEE, Special Issue on Modeling and Design of Embedded Software (to appear), October 2002.
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J. Eker, J. W. Janneck, E. A. Lee, J. Liu, X. Liu, J. Ludvig, S. Neuendorffer, S. Sachs, and Y. Xiong. Taming heterogeneity---the Ptolemy approach. Proceedings of the IEEE, 91(1):127-- 144, January 2003.
No context found.
J. Eker, J. W. Janneck, E. A. Lee, J. Liu, X. Liu, J. Ludvig, S. Neuendorffer, S. Sachs, and Y. Xiong. Taming heterogeneity---the Ptolemy approach. Proceedings of the IEEE, 91(1):127--144, January 2003.
No context found.
J. Eker, J. W. Janneck, E. A. Lee, J. Liu, X. Liu, J. Ludvig, S. Neuendorffer, S. Sachs, and Y. Xiong. Taming heterogeneity---the Ptolemy approach. Proceedings of the IEEE, 91(1):127-- 144, January 2003.
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J. Eker et al. Taming heterogeneity---the Ptolemy approach. Proceedings of the IEEE, 91(1), Jan. 2003.
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J. Eker, J.W. Janneck, E.A. Lee, J. Liu, J. Ludwig, S. Neuendor#er, S. Sachs, and Y. Xiong. Taming heterogeneity--The Ptolemy approach. Proc. of the IEEE, 91(1), 127--144, Jan. 2003.
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J. Eker, J. Janneck, E.A. Lee, J. Liu, X. Liu, J. Luvig, S. Neuendor#er, S. Sachs, and Y. Xiong. Taming heterogeneity--the Ptolemy approach. Proceedings of the IEEE, 91(1):127--144, 2003.
No context found.
J. Eker, J.W. Janneck, E.A. Lee, J. Liu, J. Ludwig, S. Neuendorffer, S. Sachs, and Y. Xiong. Taming heterogeneity---the ptolemy approach. Proc. of the IEEE, 91(1):127--144, January 2003.
No context found.
J. Eker, J. W. Janneck, E. A. Lee, J. Liu, X. Liu, J. Ludvig, S. Neuendorffer, S. Sachs, and Y. Xiong. Taming heterogeneity---the Ptolemy approach. Proceedings of the IEEE, 91(2), 2003.
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