{"title":"用于Tausworthe序列的快速硬件随机数生成器","authors":"Meir Barel","doi":"10.5555/800042.801454","DOIUrl":null,"url":null,"abstract":"Many simulation programs require m-dimensional uniformly distributed random numbers. A linear recurrence modulo two generator, based on N-bits and producing L-bit numbers (L ≤ N), according to Tausworthe theory, may yield a sequence of m-tuples uniformly distributed in m e (N/L) dimensions. When using software computing algorithms on a binary computer, for large N (e.g. N e 159), the generation speed is for many purposes too slow. To overcome this disadvantage we present a new concept of a hardware random number generator, to give the Tausworthe sequence with high generation speed independent of the number of bits per word N. For a 32-bit data word computer we have performed statistical tests on three generators, two of them gave good results.","PeriodicalId":186490,"journal":{"name":"Annual Simulation Symposium","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1983-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":"{\"title\":\"Fast hardware random number generator for the Tausworthe sequence\",\"authors\":\"Meir Barel\",\"doi\":\"10.5555/800042.801454\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Many simulation programs require m-dimensional uniformly distributed random numbers. A linear recurrence modulo two generator, based on N-bits and producing L-bit numbers (L ≤ N), according to Tausworthe theory, may yield a sequence of m-tuples uniformly distributed in m e (N/L) dimensions. When using software computing algorithms on a binary computer, for large N (e.g. N e 159), the generation speed is for many purposes too slow. To overcome this disadvantage we present a new concept of a hardware random number generator, to give the Tausworthe sequence with high generation speed independent of the number of bits per word N. For a 32-bit data word computer we have performed statistical tests on three generators, two of them gave good results.\",\"PeriodicalId\":186490,\"journal\":{\"name\":\"Annual Simulation Symposium\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1983-03-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Annual Simulation Symposium\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5555/800042.801454\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annual Simulation Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5555/800042.801454","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fast hardware random number generator for the Tausworthe sequence
Many simulation programs require m-dimensional uniformly distributed random numbers. A linear recurrence modulo two generator, based on N-bits and producing L-bit numbers (L ≤ N), according to Tausworthe theory, may yield a sequence of m-tuples uniformly distributed in m e (N/L) dimensions. When using software computing algorithms on a binary computer, for large N (e.g. N e 159), the generation speed is for many purposes too slow. To overcome this disadvantage we present a new concept of a hardware random number generator, to give the Tausworthe sequence with high generation speed independent of the number of bits per word N. For a 32-bit data word computer we have performed statistical tests on three generators, two of them gave good results.