Improving the Performance of Distributed TensorFlow with RDMA

Chengfan JiaJunnan LiuXu JinHan LinHong AnWenting HanZheng WuMongxian Chi

高性能计算与并行算法方向论文：Improving the Performance of Distributed TensorFlow with RDMA

↗在线页面Official page ◇DOI

内容导读Reading note

分类与摘要Category & abstract

关注大规模并行算法、超算平台和性能优化，是 HPC 方向的重要条目。

Metadata

完整论文信息Full record

title: Improving the Performance of Distributed TensorFlow with RDMA
title_zh: 待补充
abstract: 待补充
abstract_zh: 待补充
keywords: HPC, Distributed, 学位认定 B, CCF C
year: 2018
published_date: 待补充
online_date: 待补充
paper_type: Journal
publication_status: Published
volume: 46
issue: 待补充
pages: 待补充
article_number: 待补充
publisher: 待补充
doi: 10.1007/s10766-017-0520-3
research_area: 高性能计算与并行算法
tags: HPC, Distributed, 学位认定 B, CCF C
category: 高性能计算与并行算法
summary: 关注大规模并行算法、超算平台和性能优化，是 HPC 方向的重要条目。
authors: Chengfan Jia, Junnan Liu, Xu Jin, Han Lin, Hong An, Wenting Han, Zheng Wu, Mongxian Chi
corresponding_authors: 安虹, 韩文廷
affiliations: 待补充
funding: 待补充

Research area

高性能计算与并行算法

Citation

Chengfan Jia, Junnan Liu, Xu Jin, Han Lin, Hong An, Wenting Han, Zheng Wu, Mongxian Chi, Improving the performance of distributed TensorFlow with RDMA, International Journal of Parallel Programming (IJPP), August 2018, Volume 46, Issue 4, pp 674–685

BibTeX

@article{acsa2018_103,
  title = {Improving the Performance of Distributed TensorFlow with RDMA},
  year = {2018},
  doi = {10.1007/s10766-017-0520-3}
}