{"title":"About Performance Faults in Microprocessor Core in-field Testing","authors":"J. P. Acle, E. Sánchez, M. Reorda","doi":"10.1109/LASCAS.2019.8667562","DOIUrl":null,"url":null,"abstract":"When microprocessor-based devices are used in safety-critical applications (e.g., in automotive systems), it is common to adopt solutions aimed at testing them in-field, so that permanent faults that may affect them are identified before they cause critical consequences. In this way, the required reliability figures can be achieved. A popular solution to perform in-field test (especially when executed concurrently to the application) is based on triggering the execution of proper procedures (composing a Self-Test Library, or STL), which are able to activate faults and make them visible when checking the produced results (e.g., in memory). Unfortunately, a special class of faults exists (named Performance Faults), which do not impact the value of the results, but only the timing behavior of the processor. This paper describes a set of experiments aimed at quantitatively evaluating the number of these faults in a simple processor core, and outlines some observation techniques that can be used for their detection.","PeriodicalId":142430,"journal":{"name":"2019 IEEE 10th Latin American Symposium on Circuits & Systems (LASCAS)","volume":"43 8","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 10th Latin American Symposium on Circuits & Systems (LASCAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/LASCAS.2019.8667562","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
When microprocessor-based devices are used in safety-critical applications (e.g., in automotive systems), it is common to adopt solutions aimed at testing them in-field, so that permanent faults that may affect them are identified before they cause critical consequences. In this way, the required reliability figures can be achieved. A popular solution to perform in-field test (especially when executed concurrently to the application) is based on triggering the execution of proper procedures (composing a Self-Test Library, or STL), which are able to activate faults and make them visible when checking the produced results (e.g., in memory). Unfortunately, a special class of faults exists (named Performance Faults), which do not impact the value of the results, but only the timing behavior of the processor. This paper describes a set of experiments aimed at quantitatively evaluating the number of these faults in a simple processor core, and outlines some observation techniques that can be used for their detection.