2019
DOI: 10.3390/electronics8121539
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Using Approximate Computing and Selective Hardening for the Reduction of Overheads in the Design of Radiation-Induced Fault-Tolerant Systems

Abstract: Fault mitigation techniques based on pure software, known as software-implemented hardware fault tolerance (SIHFT), are very attractive for use in COTS (commercial off-the-shelf) microprocessors because they do not require physical modification of the system. However, these techniques cause software overheads that may affect the efficiency and costs of the overall system. This paper presents a design method of radiation-induced fault-tolerant microprocessorbased systems with lower execution time overheads. For… Show more

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Cited by 2 publications
(3 citation statements)
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“…we provide a mean value approximation of the removed bits. Introducing both approximations to (10), we get…”
Section: The Binary-to-logarithm Conversion Stagementioning
confidence: 99%
See 1 more Smart Citation
“…we provide a mean value approximation of the removed bits. Introducing both approximations to (10), we get…”
Section: The Binary-to-logarithm Conversion Stagementioning
confidence: 99%
“…Approximate computing has emerged as a new paradigm for energy-efficient systems where an acceptable error is induced in computing to achieve more efficient processing [1][2][3][4][5][6]. For example, approximate computing has been used at different system levels [7][8][9][10][11][12][13][14][15][16][17][18] and various approximate arithmetic circuits have been designed to save chip area and energy [8,11,[19][20][21][22][23][24][25][26][27][28].…”
Section: Introductionmentioning
confidence: 99%
“…Approximate computing is a new paradigm where an acceptable error is induced in the computing to achieve more energy-efficient processing [ 28 , 29 , 30 , 31 , 32 , 33 ]. It has been introduced at different system levels [ 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 ], and a large number of approximate arithmetic circuits have been designed to save chip area and energy [ 35 , 38 , 46 , 47 , 48 , 49 , 50 , 51 ]. Multiplication is a very common, but expensive operation, with exact multipliers being large circuits that consume a significant amount of energy.…”
Section: Introductionmentioning
confidence: 99%