Formal Methods and Models for System Design: A System Level by Manfred Broy (auth.), Rajesh Gupta, Paul Le Guernic, Sandeep

By Manfred Broy (auth.), Rajesh Gupta, Paul Le Guernic, Sandeep Kumar Shukla, Jean-Pierre Talpin (eds.)

Perhaps not anything characterizes the inherent heterogeneity in embedded sys­ tems than the facility to select from and software program implementations of a given method functionality. certainly, such a lot embedded structures at their center repre­ despatched a cautious department and layout of and software program components of the method to do that job successfully, types and strategies are important performance. to catch software habit, wishes and method implementation constraints. Formal modeling should be useful in addressing those projects. As with such a lot engineering domain names, co-design perform defines the kingdom of the it seeks so as to add new services in procedure conceptualization, mod­ paintings, although eling, optimization and implementation. those advances -particularly these relating to synthesis and verification initiatives -direct1y rely on formal less than­ status of process habit and function measures. present perform in method modeling depends exploiting high-level programming frameworks, reminiscent of SystemC, EstereI, to trap layout at more and more larger degrees of ab­ straction and makes an attempt to minimize the process implementation job. whereas elevating the abstraction degrees for layout and verification initiatives, to be a good suggestion, those ways also needs to supply for reuse, variation of the prevailing highbrow estate (IP) blocks.

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3 Constraining Reconfiguration Generally speaking, reconfiguration modeling syntaxes can modify any parameter in a hierarchical model. However, unconstrained reconfiguration can possibly violate semantic constraints of a model of computation, resulting in unexpected behavior. Unconstrained reconfiguration can also result in unstructured communication outside of a model of computation. For both of these reasons, we would like constrain reconfiguration to ensure understandable models with predictable behavior.

L, in XML, or in a pro gram designed to a specific API. Ptolemy II [18] offers all three alternatives. In addition to Simulink, there are many examples of actor-oriented languages, frameworks, and software techniques, including Labview (National Instruments), Mode1ica (Linkoping), GME: generic modeling environment (Vanderbilt) [12], Easy5 (Boeing), SPW: signal processing worksystem (Cadence), System studio (Synopsys), ROOM: real-time object-oriented mode1ing (Rational) [26], VHDL, Verilog, SystemC (Various), Polis & Metropolis (UC Berkeley) [6], and Ptolemy & Ptolemy 11 (UC Berkeley) [18] .

2. l. 2 are entirely inappropriate. 2 Models of Computation It is important to realize that the syntactic structure of an actor-oriented design says little about the semantics. The semantics is largely orthogonal to Director from a ilbrary specifies component interaction semantics Esbmato tho spoctru m 01 Ü'ree sinusolds in noise by three dlfferenllecnniquos. n·suited to signal prooessing. ,d oles, e>CIensive slalte analy$is of the modells possible, enabl n9 efficlent code generatlon and optimization Figure 2: Ptolemy II model using the "synchronous dataflow" (SDF) model of computation.

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