S-Space College of Engineering/Engineering Practice School (공과대학/대학원) Dept. of Computer Science and Engineering (컴퓨터공학부) Journal Papers (저널논문_컴퓨터공학부)
Heterogeneous Simulation - Mixing Discrete-Event Models with Dataflow
- Chang, Wan-Teh; Ha, Soonhoi; Lee, Edward A.
- Issue Date
- Springer Verlag
- Journal of VLSI Signal Processing, 1997, vol. 15, no. 1-2, pp. 127-144
- This paper relates to system-level design of signal processing systems, which are often heterogeneous
in implementation technologies and design styles. The heterogeneous approach, by combining small,
specialized models of computation, achieves generality and also lends itself to automatic synthesis and
formal verification. Key to the heterogeneous approach is to define interaction semantics that resolve
the ambiguities when different models of computation are brought together. For this purpose, we introduce
a tagged signal model as a formal framework within which the models of computation can be
precisely described and unambiguously differentiated, and their interactions can be understood. In this
paper, we will focus on the interaction between dataflow models, which have partially ordered events,
and discrete-event models, with their notion of time that usually defines a total order of events. A variety
of interaction semantics, mainly in handling the different notions of time in the two models, are
explored to illustrate the subtleties involved. An implementation based on the Ptolemy system from
U.C. Berkeley is described and critiqued.
- 0922-5773 (print)
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