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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Comparative Performance Analysis of Intel Xeon Phi, GPU, and CPU · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1311.0378/</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/1311.0378/feed.xml" rel="self" type="application/rss+xml" /><item><title>Comparative Performance Analysis of Intel Xeon Phi, GPU, and CPU — mentioned by Robadob</title><link>https://news.ycombinator.com/item?id=11434903</link><guid isPermaLink="false">urn:hackerpapers:mention:1311.0378:11434903</guid><pubDate>Tue, 05 Apr 2016 22:01:05 GMT</pubDate><description>&lt;p&gt;I haven&amp;#x27;t seen any recent benchmarks, but ones from 2011 all seemed to show CUDA and OpenCL on open footing in terms of performance when optimised properly.[1][2] CUDA simply had better library support, and a more well defined and uniform architecture to target. Whereas OpenCL is likely to require more programming to fill in the gaps for library support, and different optimisations depending on the architecture you wish to target. I&amp;#x27;m guessing since then, the CUDA compiler may have improved somewhat in terms of optimisation based on some micro-benchmarking research I was looking the at the…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1311.0378/"&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>
