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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Machine Learning in Compiler Optimisation · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1805.03441/</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/1805.03441/feed.xml" rel="self" type="application/rss+xml" /><item><title>Machine Learning in Compiler Optimisation — mentioned by p1esk</title><link>https://news.ycombinator.com/item?id=23856047</link><guid isPermaLink="false">urn:hackerpapers:mention:1805.03441:23856047</guid><pubDate>Thu, 16 Jul 2020 05:23:34 GMT</pubDate><description>&lt;p&gt;People use ML for pretty much anything these days, including compiling programs [1] and encoding videos [2] [1] https://arxiv.org/abs/1805.03441 [2] https://arxiv.org/abs/1904.12462&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1805.03441/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.PL</category></item><item><title>Machine Learning in Compiler Optimisation — mentioned by deepnotderp</title><link>https://news.ycombinator.com/item?id=22102385</link><guid isPermaLink="false">urn:hackerpapers:mention:1805.03441:22102385</guid><pubDate>Mon, 20 Jan 2020 21:52:38 GMT</pubDate><description>&lt;p&gt;This is as good an overview as any: https://arxiv.org/pdf/1805.03441.pdf In general we can afford to treat the problem as a search problem since our kernels are small enough. Here there is a lot of stuff that ML aided stochastic search is amazing at compared to normal compilers and even in some cases human hand optimized assembly (!).&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1805.03441/"&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>
