分类与摘要
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。
引用
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
@article{acsa2018_103,
title = {Improving the Performance of Distributed TensorFlow with RDMA},
year = {2018},
doi = {10.1007/s10766-017-0520-3}
}| 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 |