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

Qingcai JiangLingyun WanShizhe JiaoWei HuJunshi ChenHong An

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

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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: 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

Research area

高性能计算与并行算法

Citation

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

BibTeX

@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}
}