Shoaib Akram, S. Cromar, Gregory Lucas, Alexandros Papakonstantinou, Deming Chen
{"title":"VEBoC: Variation and error-aware design for billions of devices on a chip","authors":"Shoaib Akram, S. Cromar, Gregory Lucas, Alexandros Papakonstantinou, Deming Chen","doi":"10.1109/ASPDAC.2008.4484062","DOIUrl":null,"url":null,"abstract":"Billions of devices on a chip is around the corner and the trend of deep submicron (DSM) technology scaling will continue for at least another decade. Meanwhile, designers also face severe on-chip parameter variations, soft/hard errors, and high leakage power. How to use these billions of devices to deliver power-efficient, high-performance, and yet error-resilient computation is a challenging task. In this paper, we attempt to demonstrate some of our perspectives to address these critical issues. We elaborate on variation-aware synthesis, holistic error modeling, reliable multicore, and synthesis for application-specific multicore. We also present some of our insights for future reliable computing.","PeriodicalId":277556,"journal":{"name":"2008 Asia and South Pacific Design Automation Conference","volume":"125 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 Asia and South Pacific Design Automation Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASPDAC.2008.4484062","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
Billions of devices on a chip is around the corner and the trend of deep submicron (DSM) technology scaling will continue for at least another decade. Meanwhile, designers also face severe on-chip parameter variations, soft/hard errors, and high leakage power. How to use these billions of devices to deliver power-efficient, high-performance, and yet error-resilient computation is a challenging task. In this paper, we attempt to demonstrate some of our perspectives to address these critical issues. We elaborate on variation-aware synthesis, holistic error modeling, reliable multicore, and synthesis for application-specific multicore. We also present some of our insights for future reliable computing.