{"title":"利用FPGA组态存储器加速高级制程的良率学习","authors":"Jenny Fan, Xiao-Yu Li, I. Hartanto","doi":"10.1109/ATS.2007.24","DOIUrl":null,"url":null,"abstract":"The configuration memory is irregularly placed in a FPGA (Field Programmable Gate Array) chip and physically attached to the programmable logic circuits. This type of memory is more powerful than standard SRAM to monitor random or systematic process defects because the configuration memory test catches defects in both the memory cell and logic circuits. This paper will demonstrate a methodology of using this capability to accelerate yield learning for advanced process.","PeriodicalId":289969,"journal":{"name":"16th Asian Test Symposium (ATS 2007)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Using FPGA configuration memory to accelerate yield learning for advanced process\",\"authors\":\"Jenny Fan, Xiao-Yu Li, I. Hartanto\",\"doi\":\"10.1109/ATS.2007.24\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The configuration memory is irregularly placed in a FPGA (Field Programmable Gate Array) chip and physically attached to the programmable logic circuits. This type of memory is more powerful than standard SRAM to monitor random or systematic process defects because the configuration memory test catches defects in both the memory cell and logic circuits. This paper will demonstrate a methodology of using this capability to accelerate yield learning for advanced process.\",\"PeriodicalId\":289969,\"journal\":{\"name\":\"16th Asian Test Symposium (ATS 2007)\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-10-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"16th Asian Test Symposium (ATS 2007)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ATS.2007.24\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"16th Asian Test Symposium (ATS 2007)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ATS.2007.24","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Using FPGA configuration memory to accelerate yield learning for advanced process
The configuration memory is irregularly placed in a FPGA (Field Programmable Gate Array) chip and physically attached to the programmable logic circuits. This type of memory is more powerful than standard SRAM to monitor random or systematic process defects because the configuration memory test catches defects in both the memory cell and logic circuits. This paper will demonstrate a methodology of using this capability to accelerate yield learning for advanced process.