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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>MAVIREC: ML-Aided Vectored IR-DropEstimation and Classification · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2012.10597/</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/2012.10597/feed.xml" rel="self" type="application/rss+xml" /><item><title>MAVIREC: ML-Aided Vectored IR-DropEstimation and Classification — mentioned by areskay3</title><link>https://news.ycombinator.com/item?id=31100388</link><guid isPermaLink="false">urn:hackerpapers:mention:2012.10597:31100388</guid><pubDate>Wed, 20 Apr 2022 17:42:31 GMT</pubDate><description>&lt;p&gt;All of the work discussed is published to some extent. References are in the slides https://arxiv.org/pdf/2012.10597.pdf https://research.nvidia.com/publication/2020-07_grannite-gra... https://research.nvidia.com/sites/default/files/pubs/2020-07... https://ieeexplore.ieee.org/document/8920342&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2012.10597/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.AR</category></item></channel></rss>
