An In-Network Parameter Aggregation using DPDK for Multi-GPU Deep Learning-Reference-Cited by-同舟云学术

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An In-Network Parameter Aggregation using DPDK for Multi-GPU Deep Learning

Published:2021 Issue:2 Volume:11 Page:516-532
ISSN:2185-2839
Container-title:International Journal of Networking and Computing
language:en
Short-container-title:IJNC

Author:

Furukawa Masaki¹,Itsubo Tomoya¹,Matsutani Hiroki¹

Affiliation:

1. Keio University

Publisher

IJNC Editorial Committee

Link

https://www.jstage.jst.go.jp/article/ijnc/11/2/11_516/_pdf

Reference16 articles.

1. [1] Data Plane Development Kit. https://www.dpdk.org/.

2. [2] Jetson AGX Xavier. https://developer.nvidia.com/embedded/jetson-agx-xavier-developer-kit/.

3. [3] Open MPI. https://www.open-mpi.org/.

4. [4] pktgen-dpdk. http://git.dpdk.org/apps/pktgen-dpdk/.

5. [5] Martin Abadi et al. TensorFlow: A System for Large-Scale Machine Learning. In Proceedings of the USENIX Conference on Operating Systems Design and Implementation (OSDI'16), pages 265–283, Nov 2016.

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