Marie-Minerve Louërat, Torsten Maehne's Languages, Design Methods, and Tools for Electronic System PDF

By Marie-Minerve Louërat, Torsten Maehne

ISBN-10: 3319063162

ISBN-13: 9783319063164

ISBN-10: 3319063170

ISBN-13: 9783319063171

This ebook brings jointly a variety of the easiest papers from the 16th variation of the discussion board on specification and layout Languages convention (FDL), which was once held in September 2013 in Paris, France. FDL is a well-established foreign discussion board dedicated to dissemination of study effects, useful stories and new principles within the program of specification, layout and verification languages to the layout, modeling and verification of built-in circuits, complicated hardware/software embedded structures and mixed-technology systems.

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Extra resources for Languages, Design Methods, and Tools for Electronic System Design: Selected Contributions from FDL 2013

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In contrast to our own model, we could model termination conditions dynamically. Therefore, it was not necessary to use a fixed generation count, leading to improved overall performance. In addition, evolution strategies were tested. Compared to basic evolutionary optimisation, evolution strategies are more sophisticated methods which do not only focus on the optimisation target, but also on the algorithm parameters like mutation rate. Using these methods, parameters are altered by a given probability distribution during runtime.

Thereby, this relation strengthens the order between actions by the transformation 4 Data dependency introduction (denoted by [T4]). Transformation 4 Consider the model of a task and the relation R between all its actions. , no cycle is introduced). Moreover, the models of tasks have to ensure that the data in the local space remains available until its use has been completed. This is taken into account by transformation 5 Data persistency (denoted by [T5]). It enforces that the actions consuming data are executed before the ones removing it.

3 Initial LTSs for Task2 and channels write read 28 H. Mokrani et al. to each channel a size bounded by the number of samples of the new granularity, which it can transfer, and the maximal memory size of the architecture allocated for the channel given by the MEMSIZE function. Transformation 1 A channel C is transformed into a channel C with a granularity scaling factor n such that: Type(C ) = BR-BW if Type(C) = BR-BW ∨ BR-NBW NBR-NBW otherwise and size(C ) ≤ min(MEMSIZE(C), n × size(C)) Models of tasks are also impacted by the rescaling of the data granularity.

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Languages, Design Methods, and Tools for Electronic System Design: Selected Contributions from FDL 2013 by Marie-Minerve Louërat, Torsten Maehne

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