An area-efficient multiply-accumulation architecture and implementations for time-domain neural processing
Ichiro Kawashima, Yuichi Katori, Takashi Morie, Hakaru Tamukoh · 2021
In our work, a new area-efficient multiply-accumulation scheme for time-domain neural processing named differential multiply-accumulation is proposed. Our new scheme reduces hardware resources utilization of multiply-accumulation with suppressing the increasing computational time resulting from the time-multiplexing. As a result, 2,048 neurons of fully connected CBM and RC-CBM were synthesized for a single field-programmable gate array (FPGA).