Ambient Intelligence Impact on Embedded System Design by Twan Basten, Marc Geilen, Harmke de Groot

By Twan Basten, Marc Geilen, Harmke de Groot

Hugo de guy Professor Katholieke Universiteit Leuven Senior examine Fellow IMEC The regular evolution of undefined, software program and communications know-how is swiftly reworking the computer- and global into the area of Ambient Intelligence (AmI). This subsequent wave of knowledge expertise is fundam- tally diversified in that it makes allotted stressed out and instant computing and conversation disappear to the heritage and places clients to the foreground. AmI adapts to humans rather than the opposite direction round. it's going to increase our realization, visual display unit our future health and protection, advisor us via site visitors and so on. in brief, its final target is to enhance the standard of our lifestyles via a quiet, trustworthy and safe interplay with our social and fabric atmosphere. What makes AmI engineering so interesting is that its layout starts off from learning individual to international interactions that must be carried out as an int- ligent and self reliant interaction of almost all important networked digital intelligence at the globe. it is a new and intriguing size for many opt for- cal and software program engineers and will allure extra inventive expertise to engineering than natural expertise does. improvement of the best expertise for AmI will basically be triumphant if the engineering examine neighborhood is ready to hitch forces with the intention to make Mark Weiser’s dream of 1991 come actual. this may now not be company as ordinary through simply doubling transistor count number or clock pace in a microprocessor or expanding the bandwidth of communique.

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The technology of ambient intelligence is silicon CMOS; even though it is not as flexible and highly “integrated” as carbon biochemistry‚ its flexibility is 31 T. Basten et al. ). Ambient Intelligence: Impact on Embedded System Design‚ 31-50. © 2003 Kluwer Academic Publishers. Printed in the Netherlands. 32 AMBIENT INTELLIGENCE: IMPACT ON EMBEDDED SYSTEM DESIGN still remarkable. The minimum device size is close to and it is possible to integrate hundred of millions of these minuscule devices on a die.

Moreover‚ hardware designers routinely resort to distributed implementation styles: multiple clock domains‚ multiple execution units‚ distributed register files are representative instances of this trend [29]. One step further‚ next-generation architectures are focusing on parallelism not only at the micro-architectural level‚ but also across the entire memory hierarchy. Multi-processing becomes multi-streaming: streaming supercomputers are under development [16] where computation and storage are seen as successive stages of an information processing pipeline (a stream)‚ and communication is made explicit as much as possible.

Here‚ scalability refers to the capability of providing adequate performance under widely varying operating conditions‚ such as those required by AmI devices. Therefore‚ most AmI devices will typically be programmable and reconfigurable. Furthermore‚ truly scalable computation must be cheap‚ reliable and energy-efficient. To address the scalability challenge in view of technology and design complexity limitations‚ hardware architectures for AmI will assume widely varying characteristics [1]. Pursuing a biological analogy‚ we grouped AmI architectures in three classes‚ which roughly match the node type classification introduced in [2]: workhorses‚ top-of-the line processors powering the high-speed fixed network backbone‚ exceeding l0 Gb/s performance and 100W power consumption; hummingbirds‚ complex systems-on-chip (SoCs) for high-bandwidth wireless networking and multimedia‚ with l0Mb/s performance and l00mW power consumption; butterflies‚ highly integrated wireless micro-sensor nodes for pervasive sensor networks‚ with l0Kb/s performance and power consumption.

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