Jong-Yun Yun, B. Nadeau-Dostie, Martin Keim, Lori Schramm, C. Dray, E. M. Boujamaa, Khushal Gelda
{"title":"MBIST Supported Multi Step Trim for Reliable eMRAM Sensing","authors":"Jong-Yun Yun, B. Nadeau-Dostie, Martin Keim, Lori Schramm, C. Dray, E. M. Boujamaa, Khushal Gelda","doi":"10.1109/ITC44778.2020.9325218","DOIUrl":null,"url":null,"abstract":"Access Memory) has many attractive properties such as small size, fast operation speed, and good endurance. However, MRAM has a relatively small TMR (Tunneling Magnetoresistance) ratio, which means a small on-off state separation. It is a challenge to set an optimal reference resistance to reliably differentiate “1” and “0” states. Several trimming circuits were suggested in the literature to adjust a reference value and its search range. The trim setting can be controlled manually by user input; however, it consumes huge test time and requires off-chip engineering analysis to search and apply a trim setting for an individual memory array. In this paper, we will discuss the recent silicon results of fully automated trim process leveraging existing MBIST (Memory Built-in Self-Test) resources and new features to accommodate more complicated multi-step reference setting implementation through minor update of an existing MBIST circuit. The proposed MBIST solution uses a minimal number of tests to analyze massive array properties and automatically set complicated multi-step trim settings within a chip without the need for an external tester or manual adjustments.","PeriodicalId":251504,"journal":{"name":"2020 IEEE International Test Conference (ITC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE International Test Conference (ITC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITC44778.2020.9325218","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Access Memory) has many attractive properties such as small size, fast operation speed, and good endurance. However, MRAM has a relatively small TMR (Tunneling Magnetoresistance) ratio, which means a small on-off state separation. It is a challenge to set an optimal reference resistance to reliably differentiate “1” and “0” states. Several trimming circuits were suggested in the literature to adjust a reference value and its search range. The trim setting can be controlled manually by user input; however, it consumes huge test time and requires off-chip engineering analysis to search and apply a trim setting for an individual memory array. In this paper, we will discuss the recent silicon results of fully automated trim process leveraging existing MBIST (Memory Built-in Self-Test) resources and new features to accommodate more complicated multi-step reference setting implementation through minor update of an existing MBIST circuit. The proposed MBIST solution uses a minimal number of tests to analyze massive array properties and automatically set complicated multi-step trim settings within a chip without the need for an external tester or manual adjustments.