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Sources of Variatio...
Sources of Variation in Error Sensitivity Measurements, Significant or Not?
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- Ayatolahi, Fatemeh, 1984 (author)
- Chalmers tekniska högskola,Chalmers University of Technology
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- Karlsson, Johan, 1956 (author)
- Chalmers tekniska högskola,Chalmers University of Technology
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(creator_code:org_t)
- 2018
- 2018
- English.
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In: Proceedings - 48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops, DSN-W 2018. - 9781538665534 ; , s. 71-72
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Abstract
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- Measuring the error sensitivity by fault injection is an important method for assessing the dependability of computer systems. In this paper, we define error sensitivity as the conditional probability that a hardware-related error causes a silent data corruption. When measuring the error sensitivity it is important to consider how the experimental setup and the workload characteristics affect the estimated error sensitivity. We consider five such potential sources of variation (PSVs) in this paper. Three of these are related to the workload: i) input profile, ii) source code implementation, and, iii) use of compiler optimization. Two are related to the experimental setup: i) single vs. double bit-flips, and ii) inject-on-read vs. inject-on-write. The paper discusses the applicability of different statistical tests for assessing whether a PSV has a significant impact on error sensitivity.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Medicinteknik -- Medicinsk laboratorie- och mätteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Medical Engineering -- Medical Laboratory and Measurements Technologies (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Signalbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Signal Processing (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Annan elektroteknik och elektronik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Other Electrical Engineering, Electronic Engineering, Information Engineering (hsv//eng)
Keyword
- fault injection
- soft errors
- Statistical inference
- error sensitivity
- Sources of variation
Publication and Content Type
- kon (subject category)
- ref (subject category)
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