29 citations · 108 across the 11 of their papers we have counts for
3 papers · 1 filter
Exploring Fault-Energy Trade-offs in Approximate DNN Hardware Accelerators
Ayesha Siddique, Kanad Basu, Khaza Anuarul Hoque
Systolic array-based deep neural network (DNN) accelerators have recently gained prominence for their low computational cost. However, their high energy consumption poses a bottlen…
High-level Modeling of Manufacturing Faults in Deep Neural Network Accelerators
Shamik Kundu, Ahmet Soyyiğit, Khaza Anuarul Hoque +1
The advent of data-driven real-time applications requires the implementation of Deep Neural Networks (DNNs) on Machine Learning accelerators. Google's Tensor Processing Unit (TPU)…
Analyzing and Mitigating the Impact of Permanent Faults on a Systolic Array Based Neural Network Accelerator
Jeff Zhang, Tianyu Gu, Kanad Basu +1
Due to their growing popularity and computational cost, deep neural networks (DNNs) are being targeted for hardware acceleration. A popular architecture for DNN acceleration, adopt…