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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Leveraging the bfloat16 Artificial Intelligence Datatype For Higher-Precision Computations · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1904.06376/</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/1904.06376/feed.xml" rel="self" type="application/rss+xml" /><item><title>Leveraging the bfloat16 Artificial Intelligence Datatype For Higher-Precision Computations — mentioned by kolbusa</title><link>https://news.ycombinator.com/item?id=29482176</link><guid isPermaLink="false">urn:hackerpapers:mention:1904.06376:29482176</guid><pubDate>Wed, 08 Dec 2021 07:38:51 GMT</pubDate><description>&lt;p&gt;I don&amp;#x27;t think so. The new ISA that is in the SPR is mostly about deep learning: it supports int8 and bfloat16 (https://fuse.wikichip.org/news/3600/the-x86-advanced-matrix-...). You can emulate higher precision using bfloat16 (https://arxiv.org/abs/1904.06376), but I have not seen this used in the wild.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1904.06376/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.MS</category></item></channel></rss>
