Vahid Janfaza, Payman Behnam, B. Forouzandeh, B. Alizadeh
{"title":"一种用于测试数据压缩的低功耗增强位掩码字典方案","authors":"Vahid Janfaza, Payman Behnam, B. Forouzandeh, B. Alizadeh","doi":"10.1109/ISVLSI.2014.103","DOIUrl":null,"url":null,"abstract":"Long test application time for a System on Chip (SoC) is a major problem in digital design testing. This problem mostly originates from large test data. High volume test data not only increases required ATE memory and bandwidth, but also increases test time. Test compression reduces test data volume without any impact on its coverage. This work proposes two novel efficient test data compression schemes. These schemes suggest a slice partitioning along with a multiple dictionaries bitmask approach, and also a slice bit reordering method. These approaches are combined with low power method to decrease power consumption without sacrificing compression efficiency. Experimental results show improvements in compression efficiency and power consumption when compared with the existing works.","PeriodicalId":405755,"journal":{"name":"2014 IEEE Computer Society Annual Symposium on VLSI","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"A Low-Power Enhanced Bitmask-Dictionary Scheme for Test Data Compression\",\"authors\":\"Vahid Janfaza, Payman Behnam, B. Forouzandeh, B. Alizadeh\",\"doi\":\"10.1109/ISVLSI.2014.103\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Long test application time for a System on Chip (SoC) is a major problem in digital design testing. This problem mostly originates from large test data. High volume test data not only increases required ATE memory and bandwidth, but also increases test time. Test compression reduces test data volume without any impact on its coverage. This work proposes two novel efficient test data compression schemes. These schemes suggest a slice partitioning along with a multiple dictionaries bitmask approach, and also a slice bit reordering method. These approaches are combined with low power method to decrease power consumption without sacrificing compression efficiency. Experimental results show improvements in compression efficiency and power consumption when compared with the existing works.\",\"PeriodicalId\":405755,\"journal\":{\"name\":\"2014 IEEE Computer Society Annual Symposium on VLSI\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-07-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE Computer Society Annual Symposium on VLSI\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISVLSI.2014.103\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE Computer Society Annual Symposium on VLSI","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISVLSI.2014.103","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Low-Power Enhanced Bitmask-Dictionary Scheme for Test Data Compression
Long test application time for a System on Chip (SoC) is a major problem in digital design testing. This problem mostly originates from large test data. High volume test data not only increases required ATE memory and bandwidth, but also increases test time. Test compression reduces test data volume without any impact on its coverage. This work proposes two novel efficient test data compression schemes. These schemes suggest a slice partitioning along with a multiple dictionaries bitmask approach, and also a slice bit reordering method. These approaches are combined with low power method to decrease power consumption without sacrificing compression efficiency. Experimental results show improvements in compression efficiency and power consumption when compared with the existing works.