HarDNN: Feature Map Vulnerability Evaluation in CNNs

22 Feb 2020Abdulrahman MahmoudSiva Kumar Sastry HariChristopher W. FletcherSarita V. AdveCharbel SakrNaresh ShanbhagPavlo MolchanovMichael B. SullivanTimothy TsaiStephen W. Keckler

As Convolutional Neural Networks (CNNs) are increasingly being employed in safety-critical applications, it is important that they behave reliably in the face of hardware errors. Transient hardware errors may percolate undesirable state during execution, resulting in software-manifested errors which can adversely affect high-level decision making... (read more)

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