TAILIEUCHUNG - Modelling Simulation and Optimization_2

Computer-Aided Design and system analysis aim to find mathematical models that allow emulating the behaviour of components and facilities. The high competitiveness in industry, the little time available for product development and the high cost in terms of time and money of producing the initial prototypes means that the computer-aided design and analysis of products are taking on major importance. | 15 Modelling and Simulating Chip Design Processes Amir Hassine Institute of Microelectronic Systems Leibniz Universitat Hannover Germany 1. Introduction When the semiconductor industry emerged from anonymity in the 1960 s almost no one expected it to gain such a tremendous importance in human kind s life. 1981 Bill Gates although he today denies to have said it stated that 640K - program memory - ought to be enough for anybody . Indeed no other industry than the semiconductor industry has experienced such a growth The Semiconductor Industry Association1 reports about an average annual growth rate of over 16 from 1975 to 2000. It is even said to be the most productive industry in the world today Goodall et al. 2006 . Continuous improvements in EDA2 tools reusability and technologies have made it possible to design complex functionalities and integrate hundreds of millions of transistors on a single chip. None the less figures reveal another - less pleasant - fact managerial expertise in the chip design industry seems to lag behind technical expertise and progress. The ITRS3 reported several times about a lingering and increasing design productivity gap the number of available transistors growing faster than the ability to meaningfully design them. Managers are nowadays faced with many challenges concerning design projects They have to exchange resources restructure the process train designers etc. However trial and error of several alternatives is not practicable due to narrow time to market windows and severe budget restrictions. In absence of simulative possibilities decisions do not rely on evaluating the alternatives regarding their productivity and costs but on estimations and gut feelings and are mostly biased. For planning decisions it is therefore necessary to provide tools that support decision makers in evaluating different solutions in an objective and transparent manner. Due to the rapid progress in the semiconductor industry the wide range of available

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