2007
DOI: 10.1007/s10836-007-5009-3
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Dynamic Fault Diagnosis of Combinational and Sequential Circuits on Reconfigurable Hardware

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Cited by 7 publications
(4 citation statements)
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“…And the total reliability of QGT implementation for C17 with two output QT voters is calculated from (16) as…”
Section: Comparison With Tmrmentioning
confidence: 99%
See 1 more Smart Citation
“…And the total reliability of QGT implementation for C17 with two output QT voters is calculated from (16) as…”
Section: Comparison With Tmrmentioning
confidence: 99%
“…Static techniques, also called as defect tolerant methods, are robust, non-adaptive in nature and effectively mask both permanent and transient types of faults. All modules including the redundant spares are active and powered on simultaneously in case of static approaches [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15] whereas in dynamic recovery technique (also known as defect avoidance method), spare modules are activated only upon identification of failure of currently active modules, but the approach cannot recover from transient defects if not identified upon testing [16][17][18][19].…”
Section: Introductionmentioning
confidence: 99%
“…Moreover, many of statistical researches proved this statement [15,16].Combinational circuits occupy a considerable portion of processing chips in comparison with sequential circuits. For example in FPGAs,The ratio of using combinational circuits to sequential ones varies between 5 to 100 times [17,18]. Fig.1: Overall new approach framework Continuous device scaling,higher degree of pipeliningand decreasing electrical masking effect, contribute to the increase in soft error rates in combinational circuits [10].Transient faults in combinational circuits are catching up with errors in memory elements [3].…”
Section: Introductionmentioning
confidence: 99%
“…At the same time, fault emulation approaches in hardware have included vector processors [12], [13], multi-processors, Graphics Processing units [14], supercomputers [15] as well as reconfigurable computing platforms [16], [17]. These approaches have their own merit but mostly suffer from requiring significant design time and effort and require the use of complex and very expensive specialized hardware.…”
Section: Introductionmentioning
confidence: 99%