49 citations · 123 across the 21 of their papers we have counts for
3 papers · 1 filter
An Experimental Study of Reduced-Voltage Operation in Modern FPGAs for Neural Network Acceleration
Behzad Salami, Erhan Baturay Onural, Ismail Emir Yuksel +6
We empirically evaluate an undervolting technique, i.e., underscaling the circuit supply voltage below the nominal level, to improve the power-efficiency of Convolutional Neural Ne…
On the Resilience of Deep Learning for Reduced-voltage FPGAs
Kamyar Givaki, Behzad Salami, Reza Hojabr +6
Deep Neural Networks (DNNs) are inherently computation-intensive and also power-hungry. Hardware accelerators such as Field Programmable Gate Arrays (FPGAs) are a promising solutio…
On the Resilience of RTL NN Accelerators: Fault Characterization and Mitigation
Behzad Salami, Osman Unsal, Adrian Cristal
Machine Learning (ML) is making a strong resurgence in tune with the massive generation of unstructured data which in turn requires massive computational resources. Due to the inhe…