International audienceWe characterize the fault models for Deep Neural Networks (DNNs) in GPUs exposed to neutron. We observe tolerable and critical errors, and show that ECC is not effective in reducing critical errors
International audienceFor many types of integrated circuits, accepting larger failure rates in compu...
This work has been partially supported by: MultiRad (PAI project funded by Région Auvergne-Rhône-Alp...
International audienceGraphics Processing Units (GPUs) offer the possibility to execute floating-poi...
International audienceWe characterize the fault models for Deep Neural Networks (DNNs) in GPUs expos...
International audienceThe reliability evaluation of Deep Neural Networks (DNNs) executed on Graphic ...
Deep neural network (DNN) models are being deployed in safety-critical embedded devices for object i...
Paper accepted on 28th IEEE IOLTS 2022International audienceRISC-V architectures have gained importa...
Recently, Deep Neural Networks (DNNs) have been increasingly deployed in various healthcare applicat...
This work was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - ...
We investigate the sources of detected unrecoverable errors (DUEs) in graphics processing units (GPU...
In this article, we investigate the reliability of Google’s coral tensor processing units (TPUs) to ...
The resurgence of machine learning in various applications and it's inherent compute-intensive natur...
International audienceFor many types of integrated circuits, accepting larger failure rates in compu...
This work has been partially supported by: MultiRad (PAI project funded by Région Auvergne-Rhône-Alp...
International audienceGraphics Processing Units (GPUs) offer the possibility to execute floating-poi...
International audienceWe characterize the fault models for Deep Neural Networks (DNNs) in GPUs expos...
International audienceThe reliability evaluation of Deep Neural Networks (DNNs) executed on Graphic ...
Deep neural network (DNN) models are being deployed in safety-critical embedded devices for object i...
Paper accepted on 28th IEEE IOLTS 2022International audienceRISC-V architectures have gained importa...
Recently, Deep Neural Networks (DNNs) have been increasingly deployed in various healthcare applicat...
This work was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - ...
We investigate the sources of detected unrecoverable errors (DUEs) in graphics processing units (GPU...
In this article, we investigate the reliability of Google’s coral tensor processing units (TPUs) to ...
The resurgence of machine learning in various applications and it's inherent compute-intensive natur...
International audienceFor many types of integrated circuits, accepting larger failure rates in compu...
This work has been partially supported by: MultiRad (PAI project funded by Région Auvergne-Rhône-Alp...
International audienceGraphics Processing Units (GPUs) offer the possibility to execute floating-poi...