HAL will be down for maintenance from Friday, June 10 at 4pm through Monday, June 13 at 9am. More information
Skip to Main content Skip to Navigation
Journal articles

Conciliating connectionism and parallel digital hardware

Bernard Girau 1
1 CORTEX - Neuromimetic intelligence
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : The distributed structure of artificial neural networks makes them stand as models of parallel computation. Their very fine grain parallelism uses many information exchanges, so that hardware implementations are more likely to fit neural computations. But the number of operators and the complex connection graph of most usual neural models can not be directly handled by digital hardware devices. Therefore a theoretical and practical framework has been defined to reconcile simple hardware topologies with complex neural architectures. This framework has been designed mainly to meet the demands of configurable digital hardware. Field programmable neural arrays (FPNA) are based on an original paradigm of neural computation, so that they compute complex neural functions despite their simplified architectures. This paper focuses on the parallel aspects of the FPNA computation paradigm, from its definition to its applied implementation on FPGAs. FPNAs attest that a connectionist paradigm may represent an actually practical model of parallel computing.
Document type :
Journal articles
Complete list of metadata

Contributor : Publications Loria Connect in order to contact the contributor
Submitted on : Tuesday, September 26, 2006 - 8:51:15 AM
Last modification on : Friday, May 6, 2022 - 2:28:05 PM


  • HAL Id : inria-00099135, version 1



Bernard Girau. Conciliating connectionism and parallel digital hardware. Parallel and Distributed Computing Practices, Nova Science, 2000, 3 (2), pp.145-162. ⟨inria-00099135⟩



Record views