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A 345mW heterogeneous many-core processor with an intelligent inference engine for robust object recognition

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6 Author(s)

A 228GOPS 345 mW heterogeneous many-core processor combines bottom-up and top-down attention for high accuracy. It uses analog-digital mixed-mode neuro-fuzzy inference circuits to realize robust object recognition. Weight perturbation learning and workload-aware voltage/frequency control are adopted. The 5 × 10 mm2 chip with 96% recognition accuracy contains 4 SIMD vector processing elements and 32 MIMD processors.

Published in:

Solid-State Circuits Conference Digest of Technical Papers (ISSCC), 2010 IEEE International

Date of Conference:

7-11 Feb. 2010