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Model-Based Design for Embedded Systems- P63

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Model-Based Design for Embedded Systems- P63: This book contains information obtained from authentic and highly regarded sources. Reasonable efforts have been made to publish reliable data and information, but the author and publisher cannot assume responsibility for the validity of all materials or the consequences of their use. | 606 Model-Based Design for Embedded Systems Moore flows that is capable of simultaneously handling both silicon complexity and system complexity. Designing in the context of increased silicon complexity i.e. the number of individual elements is managed through the development of methods capable of handling multiple abstraction levels and models of computation while increased system complexity i.e. number of different domains or concepts requires that methods integrating other physical domains be developed. The urgency of this functionality for current SoC SiP design flows is only too apparent from the data available from the ITRS see Table 19.1 where it is clear that the earliest bottlenecks stem from the integration of heterogeneous content. The field of design methods in general terms is a vibrant field of research and is often applied to the management of design production logistics and maintenance processes for complex systems in the aeronautic transport and civil engineering sectors to name but a few. The microelectronics industry over the years and with its spectacular and unique evolution has built its own specific design methods while focusing mainly on the management of complexity through the establishment of abstraction levels. Today the emergence of device heterogeneity requires a new approach and no existing toolhas the necessary architecture to enable thesatisfactorydesignofphysically heterogeneous embedded systems. The development of such software tools is a critical step to enable the widespread deployment of such systems. The main objective of such an evolution is to reduce the design time in order to meet time to volume constraints. It is widely recognized that for complex systems at advanced technology nodes a radical evolution in design tools and methods is required to reduce the design productivity gap. Production capacity increases annually by around 50 while design capacity increases annually by a rate of only 20 -25 ITR2007 . All ITRS .