Learning-based reliability assessment method for detection of permanent faults in clockless circuits
Sign Up to like & getrecommendations! Published in 2019 at "Microelectronics Reliability"
DOI: 10.1016/j.microrel.2019.06.057
Abstract: Abstract Permanent faults are a common issue of contemporary CMOS circuits during fabrication and its lifetime. In order to detect these faults, designers adopt logic and delay-oriented testing approaches to validate the circuit's structure. However,… read more here.
Keywords: asynchronous circuits; permanent faults; learning based; based reliability ... See more keywords
Exposing Reliability Degradation and Mitigation in Approximate DNNs Under Permanent Faults
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Very Large Scale Integration (VLSI) Systems"
DOI: 10.1109/tvlsi.2023.3238907
Abstract: Approximate computing is known for enhancing deep neural network accelerators’ energy efficiency by introducing inexactness with a tolerable accuracy loss. However, small accuracy variations may increase the sensitivity of these accelerators toward undesired subtle disturbances,… read more here.
Keywords: permanent faults; mitigation approximate; accuracy loss; fault ... See more keywords
RescueSNN: enabling reliable executions on spiking neural network accelerators under permanent faults
Sign Up to like & getrecommendations! Published in 2023 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2023.1159440
Abstract: To maximize the performance and energy efficiency of Spiking Neural Network (SNN) processing on resource-constrained embedded systems, specialized hardware accelerators/chips are employed. However, these SNN chips may suffer from permanent faults which can affect the… read more here.
Keywords: neural network; methodology; permanent faults; spiking neural ... See more keywords