Soft Error Reliability Using Virtual Platforms
Produktnummer:
18a66441cb6b3344d3a9759473f31ea1ca
Autor: | Ost, Luciano Reis, Ricardo Rocha da Rosa, Felipe |
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Themengebiete: | Fault Injection Machine Learning Applied to Soft Error Assessment soft error analysis software reliability virtual platforms for reliability explorations |
Veröffentlichungsdatum: | 03.11.2020 |
EAN: | 9783030557034 |
Sprache: | Englisch |
Seitenzahl: | 136 |
Produktart: | Gebunden |
Verlag: | Springer International Publishing |
Untertitel: | Early Evaluation of Multicore Systems |
Produktinformationen "Soft Error Reliability Using Virtual Platforms"
This book describes the benefits and drawbacks inherent in the use of virtual platforms (VPs) to perform fast and early soft error assessment of multicore systems. The authors show that VPs provide engineers with appropriate means to investigate new and more efficient fault injection and mitigation techniques. Coverage also includes the use of machine learning techniques (e.g., linear regression) to speed-up the soft error evaluation process by pinpointing parameters (e.g., architectural) with the most substantial impact on the software stack dependability. This book provides valuable information and insight through more than 3 million individual scenarios and 2 million simulation-hours. Further, this book explores machine learning techniques usage to navigate large fault injection datasets.

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