Scientific Computing in Electrical Engineering by A. Maffucci, G. Miano (auth.), Angelo Marcello Anile,

By A. Maffucci, G. Miano (auth.), Angelo Marcello Anile, Giuseppe Alì, Giovanni Mascali (eds.)

This e-book is a suite of papers awarded on the final clinical Computing in electric Engineering (SCEE) convention, held in Capo d’Orlando, Sicily, in 2004. The sequence of SCEE meetings goals at addressing mathematical difficulties that have a relevancy to undefined.

The components lined at SCEE-2004 have been: Electromagnetism, Circuit Simulation, Coupled difficulties and common mathematical and computational tools.

This publication is very very important for Engineers, Physicists and Mathematicians who need to know the state of the art with appreciate to medical demanding situations coming up from difficulties of curiosity for industry.

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First results [4, 21, 24] indicate that the integration of device simulation into circuit simulation will be successful. 2 Power density challenge A consequence of shrinking is that the power density on the chip increases as the currents, which are necessary for charging or discharging the capacitances of a device, flow within smaller areas. Though this is partially compensated by a decrease of the power supply voltage, the power density has exceeded 100 Watt/cm2 . The designer has to take care to bring the heat off the chip, and he must avoid hot spots, i.

Therefore specialized methods are needed which couple the thermal simulation (PDEs) and circuit simulation (DAEs) in an intelligent way and use multi-rate techniques to perform the co-simulation efficiently [1]. Research topics: – efficient simulation of thermal effects – efficient solution of coupled thermal (PDEs) and circuit equations (DAEs) 5 Power supply challenge One mean to accomplish smaller devices and higher frequency is the reduction of the power-supply voltage. While supplies of 5 V have been used in the past, the supply voltage has been reduced down to 1 V or even below.

The same approach can be used for parts which are not yet fully designed, while a simulation of the interaction is already needed. Similar arguments hold for large building blocks, for which a reduced model has been constructed by model-order reduction [9, 13, 18]. In any case we get an hierarchical modeling, where the different models of the same building block should describe the same functionality. But this has to be verified. The formal verification of behavioral models is quite difficult, despite the well-established application of formal verification in the digital design.

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