4 papers
HENNC: Hardware Engine for Artificial Neural Network-based Chaotic Oscillators
Mobin Vaziri, Shervin Vakili, M. Mehdi Rahimifar +1
This letter introduces a framework for the automatic generation of hardware cores for Artificial Neural Network (ANN)-based chaotic oscillators. The framework trains the model to a…
Fast and Low-Cost Approximate Multiplier for FPGAs using Dynamic Reconfiguration
Shervin Vakili, Mobin Vaziri, Amirhossein Zarei +1
Multipliers are widely-used arithmetic operators in digital signal processing and machine learning circuits. Due to their relatively high complexity, they can have high latency and…
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…
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…