تقرير
BEC: Bit-Level Static Analysis for Reliability against Soft Errors
| العنوان: | BEC: Bit-Level Static Analysis for Reliability against Soft Errors |
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| المؤلفون: | Ko, Yousun, Burgstaller, Bernd |
| سنة النشر: | 2024 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Software Engineering, Computer Science - Cryptography and Security, 03F60, 68M15, 68M20, 68N20, B.8.1, C.4, D.4.5, F.2.2, G.4 |
| الوصف: | Soft errors are a type of transient digital signal corruption that occurs in digital hardware components such as the internal flip-flops of CPU pipelines, the register file, memory cells, and even internal communication buses. Soft errors are caused by environmental radioactivity, magnetic interference, lasers, and temperature fluctuations, either unintentionally, or as part of a deliberate attempt to compromise a system and expose confidential data. We propose a bit-level error coalescing (BEC) static program analysis and its two use cases to understand and improve program reliability against soft errors. The BEC analysis tracks each bit corruption in the register file and classifies the effect of the corruption by its semantics at compile time. The usefulness of the proposed analysis is demonstrated in two scenarios, fault injection campaign pruning, and reliability-aware program transformation. Experimental results show that bit-level analysis pruned up to 30.04 % of exhaustive fault injection campaigns (13.71 % on average), without loss of accuracy. Program vulnerability was reduced by up to 13.11 % (4.94 % on average) through bit-level vulnerability-aware instruction scheduling. The analysis has been implemented within LLVM and evaluated on the RISC-V architecture. To the best of our knowledge, the proposed BEC analysis is the first bit-level compiler analysis for program reliability against soft errors. The proposed method is generic and not limited to a specific computer architecture. Comment: 13 pages, 4 figures, to be published in International Symposium on Code Generation and Optimization (CGO) 2024 |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2401.05753 |
| رقم الأكسشن: | edsarx.2401.05753 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |