Soft Error Reliability Using Virtual Platforms : Early Evaluation of Multicore Systems （2020）

Rocha da Rosa, Felipe/ Ost, Luciano/ Reis, Ricardo

Springer Nature Switzerland AG（2021/11発売）

• 製本 Paperback:紙装版/ペーパーバック版／ページ数 136 p.
• 言語 ENG
• 商品コード 9783030557065

Full Description

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.

Contents

Chapter 1 . Introduction.- Chapter 2. Background on Soft Errors.- Chapter 3. Fault Injection Framework Using Virtual Platforms.- Chapter 4. Performance and Accuracy Assessment of Fault Injection
Frameworks Based on VPs.- Chapter 5. Extensive Soft Error Evaluation.- Chapter 6. Machine Learning Applied to Soft Error Assessment in Multicoresystems.