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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>A scalable multi-core architecture with heterogeneous memory structures for Dynamic Neuromorphic Asynchronous Processors (DYNAPs) · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1708.04198/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/1708.04198/feed.xml" rel="self" type="application/rss+xml" /><item><title>A scalable multi-core architecture with heterogeneous memory structures for Dynamic Neuromorphic Asynchronous Processors (DYNAPs) — mentioned by FrereKhan</title><link>https://news.ycombinator.com/item?id=27368383</link><guid isPermaLink="false">urn:hackerpapers:mention:1708.04198:27368383</guid><pubDate>Wed, 02 Jun 2021 13:24:39 GMT</pubDate><description>&lt;p&gt;Ultra-low-power neuromorphic processors such as DynapSE[1] have been cross-bar free for several years now, making them a perfect fit for sparse networks (both weight- and activity-sparsity). [1] https://arxiv.org/abs/1708.04198&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1708.04198/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.AR</category></item></channel></rss>
