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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Dissecting the Graphcore IPU Architecture via Microbenchmarking · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1912.03413/</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/1912.03413/feed.xml" rel="self" type="application/rss+xml" /><item><title>Dissecting the Graphcore IPU Architecture via Microbenchmarking — mentioned by kvathupo</title><link>https://news.ycombinator.com/item?id=32671818</link><guid isPermaLink="false">urn:hackerpapers:mention:1912.03413:32671818</guid><pubDate>Thu, 01 Sep 2022 04:03:29 GMT</pubDate><description>&lt;p&gt;Although this seems to only affect the Chinese and Russian governments (as opposed to researchers), I&amp;#x27;m generally against economic brinkmanship of this variety. It just festers resentment, and doesn&amp;#x27;t seem to achieve much: of what little I could find and scan in an hour, it appears that Nvidia GPUs strong-scale pretty well for neural networks ([1], [2]). Although this depends heavily on the NN architecture and training algorithm, Ampere architectures _seem_ to suffer from similar levels of atomic contention as Volta architectures [3]. That said, the throughput for half-precision floating…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1912.03413/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.DC</category></item><item><title>Dissecting the Graphcore IPU Architecture via Microbenchmarking — mentioned by winterismute</title><link>https://news.ycombinator.com/item?id=30063834</link><guid isPermaLink="false">urn:hackerpapers:mention:1912.03413:30063834</guid><pubDate>Mon, 24 Jan 2022 20:49:59 GMT</pubDate><description>&lt;p&gt;It&amp;#x27;s a tough question, it&amp;#x27;s not even back-propagation but even just sometimes the &amp;quot;parameters&amp;quot; of the models, for example [1] shows that models such as ResNeXt already perform better on a very different architecture such as Graphcore, for some sizes of convolutions. Older models, or models that get tuned for existing GPUs, do not perform as well. It&amp;#x27;s tough to come up with a new architecture that can have an advantage on current and future models, at least from a peak perf point of view, from a perf/watt for example instead the scaled-up Apple GPUs seem to show new interesting properties. But…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1912.03413/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.DC</category></item><item><title>Dissecting the Graphcore IPU Architecture via Microbenchmarking — HN submission</title><link>https://news.ycombinator.com/item?id=25776579</link><guid isPermaLink="false">urn:hackerpapers:submission:1912.03413:25776579</guid><pubDate>Thu, 14 Jan 2021 14:24:58 GMT</pubDate><description>&lt;p&gt;Dissecting the Graphcore IPU Architecture via Microbenchmarking&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;1 point; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1912.03413/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.DC</category></item><item><title>Dissecting the Graphcore IPU Architecture via Microbenchmarking — HN submission</title><link>https://news.ycombinator.com/item?id=22020366</link><guid isPermaLink="false">urn:hackerpapers:submission:1912.03413:22020366</guid><pubDate>Sat, 11 Jan 2020 15:38:05 GMT</pubDate><description>&lt;p&gt;Dissecting the Graphcore IPU Architecture via Microbenchmarking&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;3 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1912.03413/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.DC</category></item><item><title>Dissecting the Graphcore IPU Architecture via Microbenchmarking — HN submission</title><link>https://news.ycombinator.com/item?id=21842630</link><guid isPermaLink="false">urn:hackerpapers:submission:1912.03413:21842630</guid><pubDate>Fri, 20 Dec 2019 08:58:27 GMT</pubDate><description>&lt;p&gt;Dissecting Graphcore&amp;#x27;s IPU Architecture via Microbenchmarking&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;1 point; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1912.03413/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.DC</category></item><item><title>Dissecting the Graphcore IPU Architecture via Microbenchmarking — HN submission</title><link>https://news.ycombinator.com/item?id=21789721</link><guid isPermaLink="false">urn:hackerpapers:submission:1912.03413:21789721</guid><pubDate>Sat, 14 Dec 2019 14:48:24 GMT</pubDate><description>&lt;p&gt;Dissecting the Graphcore IPU Architecture via Microbenchmarking&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;1 point; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1912.03413/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.DC</category></item><item><title>Dissecting the Graphcore IPU Architecture via Microbenchmarking — HN submission</title><link>https://news.ycombinator.com/item?id=21760171</link><guid isPermaLink="false">urn:hackerpapers:submission:1912.03413:21760171</guid><pubDate>Wed, 11 Dec 2019 06:48:09 GMT</pubDate><description>&lt;p&gt;Dissecting the Graphcore IPU Architecture via Microbenchmarking&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;1 point; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1912.03413/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.DC</category></item><item><title>Dissecting the Graphcore IPU Architecture via Microbenchmarking — HN submission</title><link>https://news.ycombinator.com/item?id=21754152</link><guid isPermaLink="false">urn:hackerpapers:submission:1912.03413:21754152</guid><pubDate>Tue, 10 Dec 2019 16:50:29 GMT</pubDate><description>&lt;p&gt;Dissecting the Graphcore IPU Architecture via Microbenchmarking&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;2 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1912.03413/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.DC</category></item></channel></rss>
