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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Chimera: Efficiently Training Large-Scale Neural Networks with Bidirectional Pipelines · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2107.06925/</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/2107.06925/feed.xml" rel="self" type="application/rss+xml" /><item><title>Chimera: Efficiently Training Large-Scale Neural Networks with Bidirectional Pipelines — mentioned by Bimos</title><link>https://news.ycombinator.com/item?id=43190851</link><guid isPermaLink="false">urn:hackerpapers:mention:2107.06925:43190851</guid><pubDate>Thu, 27 Feb 2025 02:58:17 GMT</pubDate><description>&lt;p&gt;Maybe add Chimera as well? https://arxiv.org/pdf/2107.06925&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2107.06925/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.DC</category></item></channel></rss>
