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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Boosting Multi-Core Reachability Performance with Shared Hash Tables · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1004.2772/</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/1004.2772/feed.xml" rel="self" type="application/rss+xml" /><item><title>Boosting Multi-Core Reachability Performance with Shared Hash Tables — mentioned by proverbialbunny</title><link>https://news.ycombinator.com/item?id=24991978</link><guid isPermaLink="false">urn:hackerpapers:mention:1004.2772:24991978</guid><pubDate>Wed, 04 Nov 2020 19:05:59 GMT</pubDate><description>&lt;p&gt;Maybe 1/4th of the papers I read end up at https://arxiv.org/. I rarely just surf there, but when googling around looking up interesting cutting edge topics often a paper hosted on https://arxiv.org/ comes up on google search results. Also, there are communities that share a lot of papers. Eg if you&amp;#x27;re interested in ML (which, if you didn&amp;#x27;t know, is a CS topic), https://old.reddit.com/r/MachineLearning/ posts a lot of papers. edit: I just searched for a random CS paper for you. I haven&amp;#x27;t read it. Are you feeling lucky? https://arxiv.org/abs/1004.2772&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1004.2772/"&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>
