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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>RNGSSELIB: Program library for random number generation. More generators, parallel streams of random numbers and Fortran compatibility · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1307.5866/</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/1307.5866/feed.xml" rel="self" type="application/rss+xml" /><item><title>RNGSSELIB: Program library for random number generation. More generators, parallel streams of random numbers and Fortran compatibility — mentioned by adolgert</title><link>https://news.ycombinator.com/item?id=7968641</link><guid isPermaLink="false">urn:hackerpapers:mention:1307.5866:7968641</guid><pubDate>Tue, 01 Jul 2014 00:57:04 GMT</pubDate><description>&lt;p&gt;Do the Monte Carlo people all know about Barash and Shchur&amp;#x27;s work? They made an RNGSSELIB and PRAND (using NVIDIA cards), but the main contribution is that they incorporated a new way to generate multiple streams not by re-seeding the generator but by skipping ahead, even with Mersenne twisters. It is the only simple way to get parallel streams, and it didn&amp;#x27;t exist just a few years ago. You still need to be careful in various ways, but this helps a lot. A lot, a lot. [1] http://arxiv.org/pdf/1307.5866.pdf&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1307.5866/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>physics.comp-ph</category></item></channel></rss>
