3 papers
eess.IV2021
NN2CAM: Automated Neural Network Mapping for Multi-Precision Edge Processing on FPGA-Based Cameras
Petar Jokic, Stephane Emery, Luca Benini
The record-breaking achievements of deep neural networks (DNNs) in image classification and detection tasks resulted in a surge of new computer vision applications during the past…
cs.AR2021
A Construction Kit for Efficient Low Power Neural Network Accelerator Designs
Petar Jokic, Erfan Azarkhish, Andrea Bonetti +3
Implementing embedded neural network processing at the edge requires efficient hardware acceleration that couples high computational performance with low power consumption. Driven…
eess.IV2020
Improving Memory Utilization in Convolutional Neural Network Accelerators
Petar Jokic, Stephane Emery, Luca Benini
While the accuracy of convolutional neural networks has achieved vast improvements by introducing larger and deeper network architectures, also the memory footprint for storing the…