{"title":"Developing a Configurable Fault Tolerant Multicore System for Optimized Sensor Processing","authors":"Markus Ulbricht, R. Syed, M. Krstic","doi":"10.1109/DFT.2019.8875433","DOIUrl":null,"url":null,"abstract":"The ambitious goals for implementing autonomous systems in nearly all industry sectors create big challenges for the designers of such devices. Especially sensors, key factors for enabling autonomy, must fulfil greatest demands. The challenge is to build highly reliable sensory systems, preferably based on commercial off-the-shelf components, with short design cycles, high robustness against faults and minimal power consumption. In this paper, we present an approach for designing such a sensory system that targets automated driving. Designed as a configurable software-implemented TMR system, we based it on three Tensilica Fusion G3 cores with negligible additional hardware to each core. We are able to show that this system can be controlled to support low power, fail safe, fail operational and distributed execution of different tasks, all while keeping the strict timing and safety constraints that are crucial in the automotive area.","PeriodicalId":415648,"journal":{"name":"2019 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DFT.2019.8875433","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
The ambitious goals for implementing autonomous systems in nearly all industry sectors create big challenges for the designers of such devices. Especially sensors, key factors for enabling autonomy, must fulfil greatest demands. The challenge is to build highly reliable sensory systems, preferably based on commercial off-the-shelf components, with short design cycles, high robustness against faults and minimal power consumption. In this paper, we present an approach for designing such a sensory system that targets automated driving. Designed as a configurable software-implemented TMR system, we based it on three Tensilica Fusion G3 cores with negligible additional hardware to each core. We are able to show that this system can be controlled to support low power, fail safe, fail operational and distributed execution of different tasks, all while keeping the strict timing and safety constraints that are crucial in the automotive area.