Abstract
This paper presents the concept of reconfigurable systems using the example of a digital hardware implementation of neural networks, as well as RENCO, a platform very well-suited for the prototyping of such systems. RENCO is a network computer containing a reconfigurable part composed of four Flex10K FPGAs from Altera (10K130 or 1OK250).
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© 1998 Springer-Verlag Berlin Heidelberg
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Beuchat, JL., Haenni, JO., Sanchez, E. (1998). Hardware reconfigurable neural networks. In: Rolim, J. (eds) Parallel and Distributed Processing. IPPS 1998. Lecture Notes in Computer Science, vol 1388. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-64359-1_679
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DOI: https://doi.org/10.1007/3-540-64359-1_679
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