The impact of on-chip communication on memory technologies for neuromorphic systems
Saber Moradi, Rajit Manohar
<span title="2018-10-26">2018</span>
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<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/54kx2wgf7zfy7ov6kqpyednrh4" style="color: black;">Journal of Physics D: Applied Physics</a>
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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
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... n 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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