5 citations · 7 across the 2 of their papers we have counts for
3 papers
HyperTune: Dynamic Hyperparameter Tuning For Efficient Distribution of DNN Training Over Heterogeneous Systems
Ali HeydariGorji, Siavash Rezaei, Mahdi Torabzadehkashi +3
Distributed training is a novel approach to accelerate Deep Neural Networks (DNN) training, but common training libraries fall short of addressing the distributed cases with hetero…
Head-mouse: A simple cursor controller based on optical measurement of head tilt
Ali HeydariGorji, Seyede Mahya Safavi, Cheng-Ting Lee +1
This paper describes a wearable wireless mouse-cursor controller that optically tracks the degree of tilt of the user's head to move the mouse relative distances and therefore the…
STANNIS: Low-Power Acceleration of Deep Neural Network Training Using Computational Storage
Ali HeydariGorji, Mahdi Torabzadehkashi, Siavash Rezaei +3
This paper proposes a framework for distributed, in-storage training of neural networks on clusters of computational storage devices. Such devices not only contain hardware acceler…