K. Ramkumar, V. Prabhakar, V. Agrawal, L. Hinh, S. Saha, S. Samanta, R. Kapre
{"title":"基于SONOS的神经形态计算模拟存储器可靠性研究","authors":"K. Ramkumar, V. Prabhakar, V. Agrawal, L. Hinh, S. Saha, S. Samanta, R. Kapre","doi":"10.1109/IRPS45951.2020.9129638","DOIUrl":null,"url":null,"abstract":"Reliability of 40nm SONOS (Si-Oxide-Nitride-Oxide-Si) based non-volatile memory (NVM) cell has been evaluated for analog memory to perform neuromorphic computing. Process flow and smart-write algorithms were developed to tune key reliability parameters like retention and noise performance for this application. Their optimization to meet the product reliability requirements are also discussed. The performance of SONOS was evaluated on mini test arrays as well as actual memory arrays and the retention data obtained are discussed","PeriodicalId":116002,"journal":{"name":"2020 IEEE International Reliability Physics Symposium (IRPS)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Reliability Aspects of SONOS Based Analog Memory for Neuromorphic Computing\",\"authors\":\"K. Ramkumar, V. Prabhakar, V. Agrawal, L. Hinh, S. Saha, S. Samanta, R. Kapre\",\"doi\":\"10.1109/IRPS45951.2020.9129638\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Reliability of 40nm SONOS (Si-Oxide-Nitride-Oxide-Si) based non-volatile memory (NVM) cell has been evaluated for analog memory to perform neuromorphic computing. Process flow and smart-write algorithms were developed to tune key reliability parameters like retention and noise performance for this application. Their optimization to meet the product reliability requirements are also discussed. The performance of SONOS was evaluated on mini test arrays as well as actual memory arrays and the retention data obtained are discussed\",\"PeriodicalId\":116002,\"journal\":{\"name\":\"2020 IEEE International Reliability Physics Symposium (IRPS)\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE International Reliability Physics Symposium (IRPS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IRPS45951.2020.9129638\",\"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 International Reliability Physics Symposium (IRPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IRPS45951.2020.9129638","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Reliability Aspects of SONOS Based Analog Memory for Neuromorphic Computing
Reliability of 40nm SONOS (Si-Oxide-Nitride-Oxide-Si) based non-volatile memory (NVM) cell has been evaluated for analog memory to perform neuromorphic computing. Process flow and smart-write algorithms were developed to tune key reliability parameters like retention and noise performance for this application. Their optimization to meet the product reliability requirements are also discussed. The performance of SONOS was evaluated on mini test arrays as well as actual memory arrays and the retention data obtained are discussed