| 书目名称 | Soft Error Reliability Using Virtual Platforms |
| 副标题 | Early Evaluation of |
| 编辑 | Felipe Rocha da Rosa,Luciano Ost,Ricardo Reis |
| 视频video | |
| 概述 | Describes the most suitable and efficient virtual platforms to include fault injection capabilities, aiming to support the soft error analysis of state-of-the-art processor models.Includes analysis an |
| 图书封面 |  |
| 描述 | .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.. |
| 出版日期 | Book 2020 |
| 关键词 | software reliability; soft error analysis; Fault Injection; Machine Learning Applied to Soft Error Asse |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-55704-1 |
| isbn_softcover | 978-3-030-55706-5 |
| isbn_ebook | 978-3-030-55704-1 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
发表于 2025-3-21 16:58:16
