高性能计算与并行算法

An Efficient Multi-GPU Implementation for Linear-Response Time-Dependent Density Functional Theory

高性能计算与并行算法方向论文:An Efficient Multi-GPU Implementation for Linear-Response Time-Dependent

GPUHPCDFT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

Qingcai Jiang, Lingyun Wan, Shizhe Jiao, Wei Hu, Junshi Chen and Hong An, An Efficient Multi-GPU Implementation for Linear-Response Time-Dependent Density Functional Theory, In the Proceedings of the IEEE 22nd International Conference on High Performance Computing and Communications, HPCC 2020, Fiji, December 14-16, 2020, 105-112

@article{acsa2020_78,
  title = {An Efficient Multi-GPU Implementation for Linear-Response Time-Dependent Density Functional Theory},
  year = {2020},
  doi = {10.1109/hpcc-smartcity-dss50907.2020.00025}
}
title An Efficient Multi-GPU Implementation for Linear-Response Time-Dependent Density Functional Theory
title_zh 待补充
abstract 待补充
abstract_zh 待补充
keywords GPU, HPC, DFT, 学位认定 C, CCF C
year 2020
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/hpcc-smartcity-dss50907.2020.00025
research_area 高性能计算与并行算法
tags GPU, HPC, DFT, 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 Qingcai Jiang, Lingyun Wan, Shizhe Jiao, Wei Hu, Junshi Chen, Hong An
corresponding_authors 安虹
affiliations 待补充
funding 1