Stannis: low-power acceleration of dnn training using computational storage devices

A HeydariGorji, M Torabzadehkashi… - 2020 57th ACM/IEEE …, 2020 - ieeexplore.ieee.org
Computational storage devices enable in-storage processing of data in place. These
devices contain 64-bit application processors and hardware accelerators that can help …
被引用次数：18 相关文章

STANNIS: Low-Power Acceleration of Deep Neural Network Training Using Computational Storage

A HeydariGorji, M Torabzadehkashi, S Rezaei… - arXiv preprint arXiv …, 2020 - arxiv.org
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 …

Stannis: low-power acceleration of DNN training using computational storage devices

A HeydariGorji, M Torabzadehkashi, S Rezaei… - Proceedings of the 57th …, 2020 - dl.acm.org
Computational storage devices enable in-storage processing of data in place. These
devices contain 64-bit application processors and hardware accelerators that can help …

STANNIS: Low-Power Acceleration of Deep Neural Network Training Using Computational Storage

A HeydariGorji, M Torabzadehkashi, S Rezaei… - arXiv e …, 2020 - ui.adsabs.harvard.edu
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 …