{"title":"Concurrent generation of pseudo random numbers with LFSR of Galois type","authors":"E. Milovanovic, I. Milovanovic, M. Stojcev","doi":"10.1109/TELSKS.2013.6704893","DOIUrl":null,"url":null,"abstract":"In this paper we consider the implementation of parallel test patterns generation which is used as a basic building block in built-in-self test (BIST) design. The proposed design can drive several circuits under test (CUT) within a complex VLSI IC. For parallel test pattern generation a LFSR of Galois type is used. Mathematical procedure for concurrent pseudo random number (PRN) generation is described. We have implemented a LFSR that generates two PRNs in parallel. The achieved speed up is between 1.33 and 2, and depends on the characteristics of used primitive polynomial.","PeriodicalId":144044,"journal":{"name":"2013 11th International Conference on Telecommunications in Modern Satellite, Cable and Broadcasting Services (TELSIKS)","volume":"119 6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 11th International Conference on Telecommunications in Modern Satellite, Cable and Broadcasting Services (TELSIKS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TELSKS.2013.6704893","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
In this paper we consider the implementation of parallel test patterns generation which is used as a basic building block in built-in-self test (BIST) design. The proposed design can drive several circuits under test (CUT) within a complex VLSI IC. For parallel test pattern generation a LFSR of Galois type is used. Mathematical procedure for concurrent pseudo random number (PRN) generation is described. We have implemented a LFSR that generates two PRNs in parallel. The achieved speed up is between 1.33 and 2, and depends on the characteristics of used primitive polynomial.