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A high-speed analog neural processor

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3 Author(s)
Masa, P. ; MESA Res. Inst., Twente Univ., Enschede, Netherlands ; Hoen, K. ; Wallinga, H.

Targeted at high-energy physics research applications, our special-purpose analog neural processor can classify up to 70 dimensional vectors within 50 nanoseconds. The decision-making process of the implemented feedforward neural network enables this type of computation to tolerate weight discretization, synapse nonlinearity, noise, and other non-ideal effects. Although our prototype does not take advantage of advanced CMOS technology, and was fabricated using a 2.5-μm CMOS process, it performs 6 billion multiplications per second, with only 2 W dissipation, and has as high as 1.5 Gbyte/s equivalent bandwidth.

Published in:

Micro, IEEE  (Volume:14 ,  Issue: 3 )