Michail Noltsis, Panayiotis Englezakis, E. Maragkoudaki, C. Nicopoulos, D. Rodopoulos, F. Catthoor, Yiannakis Sazeides, Davide Zoni, D. Soudris
{"title":"Fast Estimations of Failure Probability Over Long Time Spans","authors":"Michail Noltsis, Panayiotis Englezakis, E. Maragkoudaki, C. Nicopoulos, D. Rodopoulos, F. Catthoor, Yiannakis Sazeides, Davide Zoni, D. Soudris","doi":"10.1145/3232195.3232198","DOIUrl":null,"url":null,"abstract":"Shrinking of device dimensions has undoubtedly enabled the very large scale integration of transistors on electronic chips. However, it has also brought to surface time-zero and time-dependent variation phenomena that degrade system’s performance and threaten functional operation. Hence, the need to capture and describe these mechanisms, as well as effectively model their impact is crucial. To this extent, we follow existing models and propose a complete framework that evaluates failure probability of electronic components. To assess our framework, a case-study of packet-switched Network on Chip (NoC) routers is presented, studying the failure probability of its SRAM buffers.","PeriodicalId":401010,"journal":{"name":"2018 IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3232195.3232198","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Shrinking of device dimensions has undoubtedly enabled the very large scale integration of transistors on electronic chips. However, it has also brought to surface time-zero and time-dependent variation phenomena that degrade system’s performance and threaten functional operation. Hence, the need to capture and describe these mechanisms, as well as effectively model their impact is crucial. To this extent, we follow existing models and propose a complete framework that evaluates failure probability of electronic components. To assess our framework, a case-study of packet-switched Network on Chip (NoC) routers is presented, studying the failure probability of its SRAM buffers.