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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>DLVM: A modern compiler infrastructure for deep learning systems · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1711.03016/</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/1711.03016/feed.xml" rel="self" type="application/rss+xml" /><item><title>DLVM: A modern compiler infrastructure for deep learning systems — mentioned by chrisaycock</title><link>https://news.ycombinator.com/item?id=16876361</link><guid isPermaLink="false">urn:hackerpapers:mention:1711.03016:16876361</guid><pubDate>Thu, 19 Apr 2018 14:50:42 GMT</pubDate><description>&lt;p&gt;Compiler techniques to speed-up deep learning have seen a lot of recent research activity. The article is about Intel&amp;#x27;s nGraph and provides comparisons to Google&amp;#x27;s XLA: https://www.tensorflow.org/performance/xla/ Amazon and University of Washington have NNVM: https://aws.amazon.com/blogs/machine-learning/introducing-nn... And there&amp;#x27;s University of Illinois&amp;#x27;s DLVM: https://arxiv.org/abs/1711.03016&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1711.03016/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.PL</category></item></channel></rss>
