Title :
A fast simulator for neural networks on DSPs or FPGAs
Author :
Adé, M. ; Lauwereins, R. ; Peperstraete, J.
Author_Institution :
ESAT-Lab., Katholieke Univ., Leuven, Heverlee, Belgium
fDate :
31 Aug-2 Sep 1992
Abstract :
The authors present a description of their achievements and current research on the implementation of a fast digital simulator for artificial neural networks. This simulator is mapped either on a parallel digital signal processor (DSP) or on a set of field programmable gate arrays (FPGAs). Powerful tools have been developed that automatically compile a graphical neural network description into executable code for the DSPs, with the flexibility to adjust weights and thresholds at run-time. The next step is to realize similar tools for the FPGAs
Keywords :
digital signal processing chips; digital simulation; logic arrays; neural nets; DSP; FPGA; artificial neural networks; fast digital simulator; field programmable gate arrays; graphical neural network description; parallel digital signal processor; Artificial neural networks; Boolean functions; Computational modeling; Computer networks; Digital signal processing; Digital signal processors; Field programmable gate arrays; Neural networks; Neurons; Runtime;
Conference_Titel :
Neural Networks for Signal Processing [1992] II., Proceedings of the 1992 IEEE-SP Workshop
Conference_Location :
Helsingoer
Print_ISBN :
0-7803-0557-4
DOI :
10.1109/NNSP.1992.253652
