Investigating the Impact of High-Level Software Design on Low-Level Hardware Fault Resilience

被引：1
|
作者：
Zhang, Bohan [1 ]
Yang, Lishan [2 ]
Li, Guanpeng [1 ]
Xu, Hui [3 ]
机构：
[1] Univ Iowa, Dept Comp Sci, Iowa City, IA 52242 USA
[2] George Mason Univ, Dept Comp Sci, Fairfax, VA USA
[3] Fudan Univ, Sch Comp Sci, Shanghai, Peoples R China
来源：
2023 53RD ANNUAL IEEE/IFIP INTERNATIONAL CONFERENCE ON DEPENDABLE SYSTEMS AND NETWORKS - SUPPLEMENTAL VOLUME, DSN-S | 2023年
关键词：
Silent Data Corruption; Error Resilience; Fault Injection; SDC; Program Analysis; Software Testing;
D O I：
10.1109/DSN-S58398.2023.00044
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Silent Data Corruptions (SDCs) have become an insurmountable issue that threatens the system reliability. General strategies for protecting programs from SDCs, such as dual modular redundancy, incur intolerable overheads. Another strategy is Algorithm-Based Fault Tolerance which is highly bounded to the specific algorithm and hard to generalize. In this study, we find different implementations of the same algorithm may lead to very different SDC probabilities. We conduct a characterization study to quantify the differences and investigate the root causes. The insights we derive could help and guide the developers in software engineering domain to design programs that is naturally resilient.
引用
收藏
页码：163 / 167
页数：5
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