14 citations · 23 across the 4 of their papers we have counts for
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cs.DC2020★ 2 cited
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…
cs.DC2020★ 14 cited
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…