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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Approximate Logic Synthesis Using BLASYS · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2506.22772/</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/2506.22772/feed.xml" rel="self" type="application/rss+xml" /><item><title>Approximate Logic Synthesis Using BLASYS — mentioned by thesz</title><link>https://news.ycombinator.com/item?id=47115435</link><guid isPermaLink="false">urn:hackerpapers:mention:2506.22772:47115435</guid><pubDate>Sun, 22 Feb 2026 22:28:21 GMT</pubDate><description>&lt;p&gt;I see you and I raise approximate logic synthesis [1] [2]. [1] https://www.sciencedirect.com/science/article/pii/S138376212... [2] https://arxiv.org/abs/2506.22772 You can synthesize a logic circuit that is as complex as it gets to have a certain accuracy. Deep differentiable logic networks, in my experience, do not scale well for larger (more inputs) logic elements. One still has to apply logic optimization and synthesis afterwards. So why not to synthesize ones own approximate circuit to the accuracy one&amp;#x27;s desire?&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2506.22772/"&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>
