86,765 research outputs found

    Encoding circuits for low power optical on-chip communications

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    The increased demands of high data-rate communications could be satisfied by optical semiconductor elements. Actually, these devices represent an important role in the total energy budget available for the chip. This work presents a low-power encoding technique which optimizes the statistical distribution so to reduce the energy dissipated in optical communications. We evaluated the encoding circuits referring to an 180nm, 130 nm and 90 nm CMOS technologies. Our results show an up to 12% electrical current reduction in the on-chip light emitter

    Bus-Switch coding for reducing power dissipation in off-chip buses

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    Compression of executable code in embedded microprocessor systems, used in the past mainly to reduce the memory footprint of embedded software, is gaining interest for the potential reduction in memory bus traffic and power consumption. We propose three new schemes for code compression, based on the concepts of static (using the static representation of the executable) and dynamic (using program execution traces) entropy and compare them with a state-of-the-art compression scheme, IBM’s CodePack. The proposed schemes are competitive with CodePack for static footprint compression and achieve superior results for bus traffic and energy reduction. Another interesting outcome of our work is that static compression is not directly related to bus traffic reduction, yet there is a trade off between static compression and dynamic compression, i.e., traffic reduction
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