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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>A GPU Based Memory Optimized Parallel Method For FFT Implementation · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1707.07263/</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/1707.07263/feed.xml" rel="self" type="application/rss+xml" /><item><title>A GPU Based Memory Optimized Parallel Method For FFT Implementation — mentioned by defrost</title><link>https://news.ycombinator.com/item?id=41326229</link><guid isPermaLink="false">urn:hackerpapers:mention:1707.07263:41326229</guid><pubDate>Fri, 23 Aug 2024 04:44:21 GMT</pubDate><description>&lt;p&gt;In remote sensing | computation physicas applications it&amp;#x27;s rare to have a single FFT to compute (whatever algorithm is chosen). Hence the practice of stuffing many FFT&amp;#x27;s through GPU grids in parallel and working to max out the hardware usage in order to increase application throughput. eg: https://arxiv.org/pdf/1707.07263 https://ieeexplore.ieee.org/document/9835388&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1707.07263/"&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>
