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arXiv · 1809.06016

The Impact of On-chip Communication on Memory Technologies for Neuromorphic Systems

Saber Moradi·Rajit Manohar
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Abstract

Emergent nanoscale non-volatile memory technologies with high integration density offer a promising solution to overcome the scalability limitations of CMOS-based neural networks architectures, by efficiently exhibiting the key principle of neural computation. Despite the potential improvements in computational costs, designing high-performance on-chip communication networks that support flexible, large-fanout connectivity remains as daunting task. In this paper, we elaborate on the communication requirements of large-scale neuromorphic designs, and point out the differences with the conventional network-on-chip architectures. We present existing approaches for on-chip neuromorphic routing networks, and discuss how new memory and integration technologies may help to alleviate the communication issues in constructing next-generation intelligent computing machines.

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Saber Moradi, Rajit Manohar. 2018-09-17. The Impact of On-chip Communication on Memory Technologies for Neuromorphic Systems. https://doi.org/10.1088/1361-6463/aae641

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