no code implementations • 16 Jul 2020 • Ali HeydariGorji, Siavash Rezaei, Mahdi Torabzadehkashi, Hossein Bobarshad, Vladimir Alves, Pai H. Chou
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 heterogeneous processors or the cases where the processing nodes get interrupted by other workloads.
no code implementations • 17 Feb 2020 • Ali HeydariGorji, Mahdi Torabzadehkashi, Siavash Rezaei, Hossein Bobarshad, Vladimir Alves, Pai H. Chou
This paper proposes a framework for distributed, in-storage training of neural networks on clusters of computational storage devices.
no code implementations • 8 Mar 2017 • Kayvan Bijari, Hadi Zare, Hadi Veisi, Hossein Bobarshad
Furthermore, the performance of the proposed algorithm is investigated based on several benchmark test functions as well as on the well-known datasets.
no code implementations • 14 Dec 2016 • Mahdi Hajiabadi, Hadi Zare, Hossein Bobarshad
Community detection is a task of fundamental importance in social network analysis that can be used in a variety of knowledge-based domains.