By Sorin Alexander Huss
This ebook is the most recent contribution to the Chip layout Languages sequence and it comprises chosen papers offered on the discussion board on necessities and layout Languages (FDL'06), in September 2006. The e-book represents the cutting-edge in learn and perform, and it identifies new learn instructions. It highlights the position of specification and modelling languages, and provides functional studies with specification and modelling languages.
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Additional resources for Advances in Design and Specification Languages for Embedded Systems: Selected Contributions from FDL’06
In: Lynch, N. A. and Krogh, B. , editors, Hybrid Systems: Computation and Control, Third International Workshop (HSCC 2000), vol. 1790 of LNCS, pp. 145–159. Springer. , and Bormann, J. (2004). Semiformal verification of the quasi-static behavior of mixed-signal circuits by sat-based property checking. In: 1st International Symposium on Leveraging Applications of Formal Methods (ISoLA), Paphos, Cyprus. de Abstract In behavioral simulation, performance and robustness are often crucial issues. This paper presents approaches to improve both simulation efficiency and convergence for bottom-up generated behavioral models of nonlinear analog circuits.
Fig. 6) could be proved. Proving a single property took about 40 minutes of CPU time on state-of-the-art computer hardware. 5. Conclusion Based on behavioral descriptions of the analog components of a mixedsignal circuit in terms of – in general nonlinear – differential-algebraic equation systems an approach to verification-oriented modeling has been presented. The result of the modeling process is a digital behavioral model, the so-called single-step automaton. A single-step automaton can be implemented using the synthesizable subset of a digital hardware description language.
For the verification described in the following, the example circuit’s table of values (cf. Fig. 3) has been implemented in VHDL using the approach presented in . To the best of our knowledge there is currently no way of formally proving the correctness of the derivation of the digital behavioral model from a behavioral description in terms of a differential-algebraic equation system as described above. e. the choice of the modeling parameters like the time step h and the quantization parameters has been feasible is validated by simulating/executing both behavioral models for some input sequences and comparing the corresponding traces.