72 citations · 73 across the 4 of their papers we have counts for
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cs.AR2020
CARLA: A Convolution Accelerator with a Reconfigurable and Low-Energy Architecture
Mehdi Ahmadi, Shervin Vakili, J. M. Pierre Langlois
Convolutional Neural Networks (CNNs) have proven to be extremely accurate for image recognition, even outperforming human recognition capability. When deployed on battery-powered m…
eess.SP2020
An Energy-Efficient Accelerator Architecture with Serial Accumulation Dataflow for Deep CNNs
Mehdi Ahmadi, Shervin Vakili, J. M. Pierre Langlois
Convolutional Neural Networks (CNNs) have shown outstanding accuracy for many vision tasks during recent years. When deploying CNNs on portable devices and embedded systems, howeve…