高性能计算与并行算法

Gdarts: A GPU-Based Runtime System for Dataflow Task Programming on Dependency Applications

高性能计算与并行算法方向论文:Gdarts: A GPU-Based Runtime System for Dataflow Task Programming on Depe

GPUHPCDistributed学位认定 CCCF C

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

Mingfan Li, Qingcai Jiang, Han Lin, Hong An. Gdarts: A GPU-Based Runtime System for Dataflow Task Programming on Dependency Application. In: Proceedings of the 17th IEEE International Symposium on Parallel and Distributed Processing with Applications, ISPA 2019, Xiamen, China, December 16-19, 2019,pp. 547-552

@article{acsa2019_83,
  title = {Gdarts: A GPU-Based Runtime System for Dataflow Task Programming on Dependency Applications},
  year = {2019},
  doi = {10.1109/ispa-bdcloud-sustaincom-socialcom48970.2019.00083}
}
title Gdarts: A GPU-Based Runtime System for Dataflow Task Programming on Dependency Applications
title_zh 待补充
abstract 待补充
abstract_zh 待补充
keywords GPU, HPC, Distributed, 学位认定 C, CCF C
year 2019
published_date 待补充
online_date 待补充
paper_type Conference
publication_status Published
volume 待补充
issue 待补充
pages 待补充
article_number 待补充
publisher IEEE
doi 10.1109/ispa-bdcloud-sustaincom-socialcom48970.2019.00083
research_area 高性能计算与并行算法
tags GPU, HPC, Distributed, 学位认定 C, 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 Mingfan Li, Qingcai Jiang, Han Lin, Distributed Processing with Applications, ISPA 2019, Xiamen, China, December 16-19
corresponding_authors 安虹
affiliations 待补充
funding 待补充