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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>X-Former: In-Memory Acceleration of Transformers · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2303.07470/</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/2303.07470/feed.xml" rel="self" type="application/rss+xml" /><item><title>X-Former: In-Memory Acceleration of Transformers — mentioned by ilaksh</title><link>https://news.ycombinator.com/item?id=35929028</link><guid isPermaLink="false">urn:hackerpapers:mention:2303.07470:35929028</guid><pubDate>Sat, 13 May 2023 15:00:24 GMT</pubDate><description>&lt;p&gt;I think the most interesting AI hardware stuff is about memristors or some type of compute-in-memory. https://arxiv.org/pdf/2303.07470.pdf https://ieeexplore.ieee.org/abstract/document/9669041 Maybe there will be something like transformers but more suited to crossbar arrays of memristors. If that actually makes sense.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2303.07470/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>X-Former: In-Memory Acceleration of Transformers — HN submission</title><link>https://news.ycombinator.com/item?id=35201346</link><guid isPermaLink="false">urn:hackerpapers:submission:2303.07470:35201346</guid><pubDate>Fri, 17 Mar 2023 18:57:39 GMT</pubDate><description>&lt;p&gt;X-Former: in memory acceleration of transformers&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;2 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2303.07470/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item></channel></rss>
