Soft-error detection through software fault-tolerance techniques

Rebaudengo, Maurizio; Reorda, M. Sonza; Torchiano, Marco; Violante, M.

doi:10.1109/dftvs.1999.802887

Cited by 111 publications

(54 citation statements)

References 4 publications

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“…The first step is, to identify the critical path in the data flow graph. The authors of [14,17,32] who proposed CPD technique introduced a simple principle for critical path detection. The longest path in the data flow graph is considered as a critical path because of the great possibility of error occurrence on that long path.…”

Section: Error Detection By Critical Path Duplicationmentioning

confidence: 99%

Data Error Detection and Recovery in Embedded Systems: a Literature Review

Thati¹,

Vankeirsbilck²,

Boydens³

et al. 2017

Adv. sci. technol. eng. syst. j.

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Section: Error Detection By Critical Path Duplicationmentioning

confidence: 99%

Data Error Detection and Recovery in Embedded Systems: a Literature Review

Thati¹,

Vankeirsbilck²,

Boydens³

et al. 2017

Adv. sci. technol. eng. syst. j.

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“…Two types of errors are generally distinguished: data-flow errors, which affect data computations, and control-flow errors, which affect the correct order of instruction execution. Techniques for dataflow error detection are typically based on instruction and data duplication and comparison [22]. For control-flow errors, there is variety of techniques which are based on assertions [9], [10] or signatures [3], [11].…”

Section: Background and Related Workmentioning

confidence: 99%

Efficient Mitigation of Data and Control Flow Errors in Microprocessors

Parra

Lindoso

Portela

et al. 2014

IEEE Trans. Nucl. Sci.

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Abstract-The use of microprocessor-based systems is gaining importance in application domains where safety is a must. For this reason, there is a growing concern about the mitigation of SEU and SET effects. This paper presents a new hybrid technique aimed to protect both the data and the control-flow of embedded applications running on microprocessors. On one hand, the approach is based on software redundancy techniques for correcting errors produced in the data. On the other hand, control-flow errors can be detected by reusing the on-chip debug interface, existing in most modern microprocessors. Experimental results show an important increase in the system reliability even superior to two orders of magnitude, in terms of mitigation of both SEUs and SETs. Furthermore, the overheads incurred by our technique can be perfectly assumable in low-cost systems.

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“…To experimentally show the significance of the identified critical variables, we use a basic error correction scheme for these variables, similar to [18]. Firstly, we duplicate each considered variable and its computations in the C source code.…”

Section: Fault Correction By Software Redundancymentioning

confidence: 99%

Identification of critical variables using an FPGA-based fault injection framework

Riefert

Müller

Sauer

et al. 2013

2013 IEEE 31st VLSI Test Symposium (VTS)

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Abstract-The shrinking nanometer technologies of modern microprocessors and the aggressive supply voltage down-scaling drastically increase the risk of soft errors. In order to cope with this risk efficiently, selective hardware and software protection schemes are applied. In this paper, we propose an FPGA-based fault injection framework which is able to identify the most critical registers of an entire microprocessor. Furthermore, our framework identifies critical variables in the source code of an arbitrary application running in its native environment. We verify the feasibility and relevance of our approach by implementing a lightweight and efficient error correction mechanism protecting only the most critical parts of the system. Experimental results with state estimation applications demonstrate a significantly reduced number of critical calculation errors caused by faults injected into the processor.

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Soft-error detection through software fault-tolerance techniques

Cited by 111 publications

References 4 publications

Data Error Detection and Recovery in Embedded Systems: a Literature Review

Data Error Detection and Recovery in Embedded Systems: a Literature Review

Efficient Mitigation of Data and Control Flow Errors in Microprocessors

Identification of critical variables using an FPGA-based fault injection framework

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