State Encoding with Stochastic Numbers for Transient Fault Tolerant Linear Finite State Machines
| Autor: | Hideyuki Ichihara, Tomoo Inoue, Tsuyoshi Iwagaki, Yuki Maeda |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
010302 applied physics
Stochastic computing Finite-state machine Computer science Markov process Fault tolerance Hardware_PERFORMANCEANDRELIABILITY 02 engineering and technology Fault (power engineering) Topology 01 natural sciences 020202 computer hardware & architecture symbols.namesake 0103 physical sciences 0202 electrical engineering electronic engineering information engineering symbols Overhead (computing) State (computer science) Transient (oscillation) Hardware_LOGICDESIGN |
| Zdroj: | DFT |
| Popis: | Stochastic computing (SC) has attractive characteristics, compared with deterministic (or general binary) computing, such as smaller area of the implemented circuits, higher fault tolerance and so on. This study focuses on the transient fault tolerance of SC circuits with linear finite state machines (linear FSMs). To improve the transient fault tolerability of linear-FSM-based SC circuits, we propose a scheme for encoding the states of the FSM with stochastic numbers (SNs). Moreover, we discuss approximating state transition of the FSM so as to reduce the area overhead. The proposed SC circuits are modeled as Markov processes to clarify their behaviors when any transient fault occurs. Experimental results clarify the improvement in the fault tolerability of the SC circuits based on the proposed state encoding with SNs. |
| Databáze: | OpenAIRE |
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