2020
DOI: 10.3390/electronics9071110
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Area-Efficient Differential Fault Tolerance Encoding for Finite State Machines

Abstract: A differential fault tolerance encoding is presented for finite state machines (FSMs) to improve their area efficiency. As the manufacturing technology for semiconductors continues to scale down, the probability of the occurrence of unexpected faults in integrated circuits has been increasing. Because an FSM controls an entire digital circuit, the faults in FSMs should be carefully addressed. Whereas the previous encoding applies a fault tolerance scheme to all the states in an FSM, the proposed encodi… Show more

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Cited by 6 publications
(6 citation statements)
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“…To diminish the number of literals, various methods of state assignment are used [45][46][47][48][49][50]. These methods can be found in many academic and industrial CAD tools.…”
Section: Related Workmentioning
confidence: 99%
“…To diminish the number of literals, various methods of state assignment are used [45][46][47][48][49][50]. These methods can be found in many academic and industrial CAD tools.…”
Section: Related Workmentioning
confidence: 99%
“…The problems of optimizing the characteristics of FSM circuits are discussed in many works, such as, for example, [30][31][32][33][34][35]. An analysis of these and many other works allowed us to draw the following conclusion.…”
Section: Related Workmentioning
confidence: 99%
“…This is SLUT8. Therefore, the circuit of CPF2 contains seven LUTs implementing SBFs (31) and (32). This means there are 14 LUTs on the first level of the logic circuit of FSM Ex2.…”
Section: Slut1mentioning
confidence: 99%
“…In our current paper, a method is proposed which aims at reducing the LUT count of three-block circuits of Mealy FSMs [15]. The values of N A(φ k ) can be reduced with the help of a proper state assignment [41][42][43]. The number of FSM state memory elements is in the range from R = log 2 M to R = M. The upper limit of this amount (R = M) corresponds to a one-hot state assignment.…”
Section: Related Workmentioning
confidence: 99%