14 citations · 18 across the 4 of their papers we have counts for
4 papers
In-storage Processing of I/O Intensive Applications on Computational Storage Drives
Ali HeydariGorji, Mahdi Torabzadehkashi, Siavash Rezaei +3
Computational storage drives (CSD) are solid-state drives (SSD) empowered by general-purpose processors that can perform in-storage processing. They have the potential to improve b…
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…
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…
UltraShare: FPGA-based Dynamic Accelerator Sharing and Allocation
Siavash Rezaei, Eli Bozorgzadeh, Kanghee Kim
Despite all the available commercial and open-source frameworks to ease deploying FPGAs in accelerating applications, the current schemes fail to support sharing multiple accelerat…