Publication
VLSI Technology 2017
Conference paper

Implementation challenges for scalable neuromorphic computing

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Abstract

In the big data era, a new computing system, called Cognitive Computing, that can handle unstructured data, learn and extract the insights is required. A neuromorphic device is a key component for this, and several architectures are reported. Compared to the neuromorphic device with SRAM-based spiking neural network, a cross-bar structure device realizes on-chip leaning, but requires high-density off-chip interconnect, much higher than those for conventional high-end logic devices. Recent progress of solder bumping and 3-dimentional integration technologies are described.

Date

31 Jul 2017

Publication

VLSI Technology 2017

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