<?xml version="1.0" encoding="UTF-8"?>
<reference anchor="I-D.roca-tsvwg-tinymt32" target="https://datatracker.ietf.org/doc/html/draft-roca-tsvwg-tinymt32-01">
   <front>
      <title>TinyMT32 Pseudo Random Number Generator (PRNG)</title>
      <author initials="M." surname="Saito" fullname="Mutsuo Saito">
         <organization>Hiroshima University</organization>
      </author>
      <author initials="M." surname="Matsumoto" fullname="Makoto Matsumoto">
         <organization>Hiroshima University</organization>
      </author>
      <author initials="V." surname="Roca" fullname="Vincent Roca">
         <organization>INRIA</organization>
      </author>
      <author initials="E." surname="Baccelli" fullname="Emmanuel Baccelli">
         <organization>INRIA</organization>
      </author>
      <date month="March" day="5" year="2019" />
      <abstract>
	 <t>   This document describes the TinyMT32 Pseudo Random Number Generator
   (PRNG) that produces 32-bit pseudo-random unsigned integers and aims
   at having a simple-to-use and deterministic solution.  This PRNG is a
   small-sized variant of Mersenne Twister (MT) PRNG, also designed by
   M.  Saito and M.  Matsumoto.  The main advantage of TinyMT32 over MT
   is the use of a small internal state, compatible with most target
   platforms including embedded devices, while keeping a reasonably good
   randomness.

	 </t>
      </abstract>
   </front>
   <seriesInfo name="Internet-Draft" value="draft-roca-tsvwg-tinymt32-01" />
   
</reference>
