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Reconfigurable hardware is now used in high performance computers, introducing the high performance reconfigurable computing. Dynamic hardware allows processors to devolve intensive computations to dedicated hardware circuitry optimized for that purpose. Our aim is to make larger use of hardware capabilities by pooling the hardware and software computations resources in a unified design in order to...
The new tendencies in designing real-time systems indicate that the future applications will be built on reconfigurable hardware devices. These applications require high performance and reasonable flexibility towards user and environment needs. To fulfill these application requirements, the density of heterogeneous resources evolves within these devices. Hence, the complexity of these devices leads...
In this paper, we defined a generic architecture for the extraction phase of a multi layer neural network algorithm to be implemented on a Virtex-4 FPGA. This architecture can be applied to any multi layer neural network composed of a given number of layers and a given number of neurons in each layer. In addition this architecture enhances the density of the FPGA by supporting the two concepts of...
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