A reconfigurable bit-serial VLSI systolic array neuro-chip

A dynamically reconfigurable bit-serial systolic array implemented in 1.2-mu m double-metal P-well CMOS is described. This processor array is proposed as the central computational unit in the Reconfigurable Systolic Array (RSA) neuro-computer and performance estimates suggest that a 64 IC system (containing a total of 1024 usable processors) can achieve a learning rate of 1134 MCUPS on the NETtalk problem, The architecture employs reconfiguration techniques for both fault-tolerance and functionality, and allows a number of neural network models (in both the recall and learning phases) from associative memory networks, supervised networks, and unsupervised networks to be supported, (C) 1997 Academic Press.