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Artificial Neural Networks (ANN) are used to perform tasks like classification, pattern recognition and function approximations in many cases to which traditional approaches are not well suited. Hardware implementations have been presented, mainly in academical works, in order to take advantage of the inherent parallelism in ANNs. In the field of embedded systems it is desirable to have faster and...
Current trends show, it is increasingly difficult to manage the constraints of costs, power consumption, size and more than everything else, functional safety, with conventional architectures. This paper presents a new architecture to deal with the current and upcoming requirements in safety critical applications. It proposes the use of diverse redundancy with digital and analog channels, to detect...
The presented paper describes an approach of dynamic positioning of functional building blocks on Virtex (Xilinx) FPGAs. The modules can be of a variable rectangular shape. Further, the on-chip location of the area to be reconfigured can be freely chosen, so that any module can be placed anywhere within the defined dynamic region of the FPGA. Thus the utilization of the chip area can be optimized,...
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