Accelerating Parallel First-Principles Excited-State Calculation by Low-Rank Approximation with K-Means Clustering

Qingcai JiangJunshi ChenLingyun WanXinming QinJielan LiJie LiuHong AnWei Hu

高性能计算与并行算法方向论文：Accelerating Parallel First-Principles Excited-State Calculation by Low-

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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: Accelerating Parallel First-Principles Excited-State Calculation by Low-Rank Approximation with K-Means Clustering
title_zh: 待补充
abstract: 待补充
abstract_zh: 待补充
keywords: HPC, 学位认定 B, CCF B
year: 2022
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: 待补充
doi: 10.1145/3545008.3545092
research_area: 高性能计算与并行算法
tags: HPC, 学位认定 B, CCF B
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, Junshi Chen, Lingyun Wan, Xinming Qin, Jielan Li, Jie Liu, Hong An, Wei Hu
corresponding_authors: 待补充
affiliations: 待补充
funding: 待补充

Research area

高性能计算与并行算法

Citation

Qingcai Jiang，Junshi Chen，Lingyun Wan，Xinming Qin，Jielan Li，Jie Liu，Hong An*，Wei Hu*，Accelerating Parallel First-Principles Excited-State Calculation by Low-Rank Approximation with K-Means Clustering, In the Proceedings of the 51st International Conference on Parallel Processing(ICPP 2022), Bordeaux, France. August 29th to Sept 1st, 2022.（CCF B）

BibTeX

@article{acsa2022_49,
  title = {Accelerating Parallel First-Principles Excited-State Calculation by Low-Rank Approximation with K-Means Clustering},
  year = {2022},
  doi = {10.1145/3545008.3545092}
}