Jong-Yun Yun, B. Nadeau-Dostie, Martin Keim, C. Dray, E. M. Boujamaa
{"title":"MBIST支持可靠的eMRAM传感","authors":"Jong-Yun Yun, B. Nadeau-Dostie, Martin Keim, C. Dray, E. M. Boujamaa","doi":"10.1109/ETS48528.2020.9131564","DOIUrl":null,"url":null,"abstract":"eMRAM (embedded Magnetoresistive Random Access Memory) is an attractive solution in many non-volatile memory applications because of its small size, fast operation speed, and good endurance. However, due to a relatively small on/off resistance separation, it is a challenge to set an optimal reference resistance to reliably differentiate between a read memory data “1” and “0”. Several trimming circuits are described in the literature to finely adjust a reference resistance value. These circuits are controlled from chip inputs causing time-consuming tests and off-chip engineering analysis. This paper presents a fully automated on-chip trimming process leveraging existing memory BIST (Built-In Self-Test) resources. It analyzes a massive amount of array property data with a minimal number of tests and optimizes the reference trim settings on-chip without the need for any external intervention.","PeriodicalId":267309,"journal":{"name":"2020 IEEE European Test Symposium (ETS)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"MBIST Support for Reliable eMRAM Sensing\",\"authors\":\"Jong-Yun Yun, B. Nadeau-Dostie, Martin Keim, C. Dray, E. M. Boujamaa\",\"doi\":\"10.1109/ETS48528.2020.9131564\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"eMRAM (embedded Magnetoresistive Random Access Memory) is an attractive solution in many non-volatile memory applications because of its small size, fast operation speed, and good endurance. However, due to a relatively small on/off resistance separation, it is a challenge to set an optimal reference resistance to reliably differentiate between a read memory data “1” and “0”. Several trimming circuits are described in the literature to finely adjust a reference resistance value. These circuits are controlled from chip inputs causing time-consuming tests and off-chip engineering analysis. This paper presents a fully automated on-chip trimming process leveraging existing memory BIST (Built-In Self-Test) resources. It analyzes a massive amount of array property data with a minimal number of tests and optimizes the reference trim settings on-chip without the need for any external intervention.\",\"PeriodicalId\":267309,\"journal\":{\"name\":\"2020 IEEE European Test Symposium (ETS)\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE European Test Symposium (ETS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ETS48528.2020.9131564\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE European Test Symposium (ETS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ETS48528.2020.9131564","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
eMRAM (embedded Magnetoresistive Random Access Memory) is an attractive solution in many non-volatile memory applications because of its small size, fast operation speed, and good endurance. However, due to a relatively small on/off resistance separation, it is a challenge to set an optimal reference resistance to reliably differentiate between a read memory data “1” and “0”. Several trimming circuits are described in the literature to finely adjust a reference resistance value. These circuits are controlled from chip inputs causing time-consuming tests and off-chip engineering analysis. This paper presents a fully automated on-chip trimming process leveraging existing memory BIST (Built-In Self-Test) resources. It analyzes a massive amount of array property data with a minimal number of tests and optimizes the reference trim settings on-chip without the need for any external intervention.