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- Ayatolahi, Fatemeh, 1984
(författare)
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Sources of Variations in Error Sensitivity of Computer Systems
- 2014
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Licentiatavhandling (övrigt vetenskapligt/konstnärligt)abstract
- Technology scaling is reducing the reliability of integrated circuits. This makes it important to provide computers with mechanisms that can detect and correct hardware errors. This thesis deals with the problem of assessing the hardware error sensitivity of computer systems. Error sensitivity, which is the likelihood that a hardware error will escape detection and produce an erroneous output, measures a system’s inability to detect hardware errors. This thesis present the results of a series of fault injection experiments that investigated how er- ror sensitivity varies for different system characteristics, including (i) the inputs processed by a program, (ii) a program’s source code implementation, and (iii) the use of compiler optimizations. The study focused on the impact of tran- sient hardware faults that result in bit errors in CPU registers and main memory locations. We investigated how the error sensitivity varies for single-bit errors vs. double-bit errors, and how error sensitivity varies with respect to machine instructions that were targeted for fault injection. The results show that the in- put profile and source code implementation of the investigated programs had a major impact on error sensitivity, while using different compiler optimizations caused only minor variations. There was no significant difference in error sen- sitivity between single-bit and double-bit errors. Finally, the error sensitivity seems to depend more on the type of data processed by an instruction than on the instruction type.
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| 2. |
- Sangchoolie, Behrooz, et al.
(författare)
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A study of the impact of bit-flip errors on programs compiled with different optimization levels
- 2014
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Ingår i: Proceedings - 2014 10th European Dependable Computing Conference, EDCC 2014. - : IEEE Computer Society. - 9781479938032 ; , s. 146-157
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Konferensbidrag (refereegranskat)abstract
- In this paper we study the impact of compiler optimizations on the error sensitivity of twelve benchmark programs. We conducted extensive fault injection experiments where bit-flip errors were injected in instruction set architecture registers and main memory locations. The results show that the percentage of silent data corruptions (SDCs) in the output of the optimized programs is only marginally higher compare to that observed for the non-optimized programs. This suggests that compiler optimizations can be used in safety- and mission-critical systems without increasing the risk that the system produces undetected erroneous outputs. In addition, we investigate to what extent the source code implementation of a program affects the error sensitivity of a program. To this end, we perform experiments with five implementations of a bit count algorithm. In this investigation, we consider the impact of the implementation as well as compiler optimizations. The results of these experiments give valuable insights into how compiler optimizations can be used to reduce error sensitive of registers and main memory sections. They also show how sensitive locations requiring additional protection, e.g., by the use of software-based fault tolerance techniques, can be identified.
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