Design, implementation and test of a multi-model systolic neural-network accelerator

Autor: Paolo Ienne, Marc A. Viredaz, Thierry Cornu, Patrick Thiran, Dagmar Niebur
Předmět:
Zdroj: Scientific Programming, Vol 5, Iss 1, Pp 47-61 (1996)
Popis: A multi-model neural-network computer has been designed and built. A compute-intensive application in the field of power-system monitoring, using the Kohonen neural network, has then been ported onto this machine. After a short description of the system, this article focuses on the programming paradigm adopted. The performance of the machine is also evaluated and discussed.
Databáze: OpenAIRE