{"title":"在线写余量估计器监测SRAM内核的性能退化","authors":"B. Alorda, C. Carmona, G. Torrens, S. Bota","doi":"10.1109/IOLTS.2016.7604678","DOIUrl":null,"url":null,"abstract":"SRAM cell sensitivity to process variation increases aggressively with technology scaling trends. Long-term aging parameter variability degrades 6T-SRAM cells performance in the nanometre era. More accurate and non-invasive methodologies must be provided to extend the free-failure period for high reliability systems. This paper proposes a Word-Line Voltage Margin estimator to observe SRAM performance degradation. The proposed on-line estimator approach does not require memory array modification and it can be shared with all embedded memories in a SoC reducing its area overhead.","PeriodicalId":6580,"journal":{"name":"2016 IEEE 22nd International Symposium on On-Line Testing and Robust System Design (IOLTS)","volume":"62 1","pages":"90-95"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":"{\"title\":\"On-line write margin estimator to monitor performance degradation in SRAM cores\",\"authors\":\"B. Alorda, C. Carmona, G. Torrens, S. Bota\",\"doi\":\"10.1109/IOLTS.2016.7604678\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"SRAM cell sensitivity to process variation increases aggressively with technology scaling trends. Long-term aging parameter variability degrades 6T-SRAM cells performance in the nanometre era. More accurate and non-invasive methodologies must be provided to extend the free-failure period for high reliability systems. This paper proposes a Word-Line Voltage Margin estimator to observe SRAM performance degradation. The proposed on-line estimator approach does not require memory array modification and it can be shared with all embedded memories in a SoC reducing its area overhead.\",\"PeriodicalId\":6580,\"journal\":{\"name\":\"2016 IEEE 22nd International Symposium on On-Line Testing and Robust System Design (IOLTS)\",\"volume\":\"62 1\",\"pages\":\"90-95\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-07-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"14\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE 22nd International Symposium on On-Line Testing and Robust System Design (IOLTS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IOLTS.2016.7604678\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE 22nd International Symposium on On-Line Testing and Robust System Design (IOLTS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IOLTS.2016.7604678","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
On-line write margin estimator to monitor performance degradation in SRAM cores
SRAM cell sensitivity to process variation increases aggressively with technology scaling trends. Long-term aging parameter variability degrades 6T-SRAM cells performance in the nanometre era. More accurate and non-invasive methodologies must be provided to extend the free-failure period for high reliability systems. This paper proposes a Word-Line Voltage Margin estimator to observe SRAM performance degradation. The proposed on-line estimator approach does not require memory array modification and it can be shared with all embedded memories in a SoC reducing its area overhead.