A 1.0TOPS/W 36-core neocortical computing processor with 2.3Tb/s Kautz NoC for universal visual recognition

Abstract

In this paper, an NC processor for power-efficient real-time universal visual recognition is proposed with following features: 1) A grey matter-like homogeneous many-core architecture with event-driven hybrid MIMD execution provides 1.0TOPS/W efficient acceleration for NC operations; 2) A white matter-like Kautz NoC provides 2.3Tb/s throughput, fault/congestion avoidance and redundancy-free multicast with 151Tb/s/W NoC power efficiency, which is 2.7-3.9x higher than previous NoC-based visual recognition processors.