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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Optimizing CNN Model Inference on CPUs · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1809.02697/</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/1809.02697/feed.xml" rel="self" type="application/rss+xml" /><item><title>Optimizing CNN Model Inference on CPUs — mentioned by ajtulloch</title><link>https://news.ycombinator.com/item?id=19488927</link><guid isPermaLink="false">urn:hackerpapers:mention:1809.02697:19488927</guid><pubDate>Tue, 26 Mar 2019 03:00:55 GMT</pubDate><description>&lt;p&gt;FWIW, I believe that the current state of the art for batch-size 1, fp32 inference for ResNet-50 on Intel CPUs is AWS&amp;#x27;s work in https://arxiv.org/abs/1809.02697. After the low-hanging fruit outside of model execution are picked, this kind of work is probably quite relevant.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1809.02697/"&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>
