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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Fast Convolutional Nets With fbfft: A GPU Performance Evaluation · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1412.7580/</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/1412.7580/feed.xml" rel="self" type="application/rss+xml" /><item><title>Fast Convolutional Nets With fbfft: A GPU Performance Evaluation — mentioned by ajtulloch</title><link>https://news.ycombinator.com/item?id=9411817</link><guid isPermaLink="false">urn:hackerpapers:mention:1412.7580:9411817</guid><pubDate>Tue, 21 Apr 2015 01:28:42 GMT</pubDate><description>&lt;p&gt;FWIW, FFT-based convolutional methods aren&amp;#x27;t better for a lot of common sizes (including a bunch of AlexNet/VGG/GoogLeNet sizes). http://arxiv.org/abs/1412.7580 has a pretty thorough evaluation of im2col + gemm vs fused gemm (cudnn) vs fft.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1412.7580/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>Fast Convolutional Nets With fbfft: A GPU Performance Evaluation — mentioned by ajtulloch</title><link>https://news.ycombinator.com/item?id=8901531</link><guid isPermaLink="false">urn:hackerpapers:mention:1412.7580:8901531</guid><pubDate>Fri, 16 Jan 2015 20:39:13 GMT</pubDate><description>&lt;p&gt;http://arxiv.org/pdf/1412.7580v2.pdf compares the convolutional implementation with the cuDNN layers. For the FC layers, it&amp;#x27;s just CuBLAS `sgemm`.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1412.7580/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>Fast Convolutional Nets With fbfft: A GPU Performance Evaluation — mentioned by contingencies</title><link>https://news.ycombinator.com/item?id=8901139</link><guid isPermaLink="false">urn:hackerpapers:mention:1412.7580:8901139</guid><pubDate>Fri, 16 Jan 2015 19:37:43 GMT</pubDate><description>&lt;p&gt;Paper with proper summary: http://arxiv.org/abs/1412.7580&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1412.7580/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item></channel></rss>
