Title :
A 1.0TOPS/W 36-core neocortical computing processor with 2.3Tb/s Kautz NoC for universal visual recognition
Author :
Tsai, Chuan-Yung ; Lee, Yu-Ju ; Chen, Chun-Ting ; Chen, Liang-Gee
Author_Institution :
Nat. Taiwan Univ., Taipei, Taiwan
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.
Keywords :
image recognition; multiprocessing systems; network-on-chip; parallel processing; 36-core neocortical computing processor; NC processor; NoC power efficiency; event-driven hybrid MIMD execution; fault-congestion avoidance; grey matter-like homogeneous many-core architecture; power-efficient real-time universal visual recognition; redundancy-free multicast; white-matter-like Kautz NoC; Arrays; Feature extraction; Image recognition; Real time systems; Routing; Visualization;
Conference_Titel :
Solid-State Circuits Conference Digest of Technical Papers (ISSCC), 2012 IEEE International
Conference_Location :
San Francisco, CA
Print_ISBN :
978-1-4673-0376-7
DOI :
10.1109/ISSCC.2012.6177099
