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Proceedings Paper

Symbolic computation in system simulation and design
Author(s): Brian L. Evans; Steve X. Gu; Asa Kalavade; Edward A. Lee
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Paper Abstract

This paper examines some of the roles that symbolic computation plays in assisting system- level simulation and design. By symbolic computation, we mean programs like Mathematica that perform symbolic algebra and apply transformation rules based on algebraic identities. At a behavioral level, symbolic computation can compute parameters, generate new models, and optimize parameter settings. At the synthesis level, symbolic computation can work in tandem with synthesis tools to rewrite cascade and parallel combinations on components in sub- systems to meet design constraints. Symbolic computation represents one type of tool that may be invoked in the complex flow of the system design process. The paper discusses the qualities that a formal infrastructure for managing system design should have. The paper also describes an implementation of this infrastructure called DesignMaker, implemented in the Ptolemy environment, which manages the flow of tool invocations in an efficient manner using a graphical file dependency mechanism.

Paper Details

Date Published: 7 June 1995
PDF: 12 pages
Proc. SPIE 2563, Advanced Signal Processing Algorithms, (7 June 1995); doi: 10.1117/12.211415
Show Author Affiliations
Brian L. Evans, Univ. of California/Berkeley (United States)
Steve X. Gu, Univ. of California/Berkeley (United States)
Asa Kalavade, Univ. of California/Berkeley (United States)
Edward A. Lee, Univ. of California/Berkeley (United States)


Published in SPIE Proceedings Vol. 2563:
Advanced Signal Processing Algorithms
Franklin T. Luk, Editor(s)

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