DB-SpGEMM: A Massively Distributed Block-Sparse Matrix-Matrix Multiplication for Linear-Scaling DFT Calculations

Zhong ZhengJunshi ChenYang ZhaoLongsheng SongXinming QinHong An

高性能计算与并行算法方向论文：DB-SpGEMM: A Massively Distributed Block-Sparse Matrix-Matrix Multiplica

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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。

Evidence note

culations Zhong Zheng University of Science and Technology of China Hefei, China zhengz722@mail.ustc.edu.cn Junshi Chen∗ University of Science and Technology of China Hefei, China Laoshan Laboratory Qingdao, China cjuns@ustc.edu.cn Yang Zhao University of Science and Technology of China Hefei, China yang_zhao@mail.ustc.edu.cn Longsheng Song University of Science and Technology of China Hefei, China sls_ustc@mail.us || culations Zhong Zheng University of Science and Technology of China Hefei, China zhengz722@mail.ustc.edu.cn Junshi Chen∗ University of Science and Technology of China Hefei, China Laoshan Laboratory Qingdao, China cjuns@ustc.edu.cn Yang Zhao University of Science and Technology of China Hefei, China yang_zhao@mail.ustc.edu.cn Longsheng Song University of Science and Technology of China Hefei, China sls_u || cademy of Sciences (XDB0500102) and the National Natural Science Foundation of China (Grant No. 62102389). The computing resources are financially supported by Laoshan Laboratory (LSKJ202300305). We thank Prof. Wei Hu (University of Science and Technology of China) and Prof. Wenjing Ma (Institute of Software, Chinese Academy of Sciences) for helpful discussions. We also appreciate the reviewers for dedicating || cademy of Sciences (XDB0500102) and the National Natural Science Foundation of China (Grant No. 62102389). The computing resources are financially supported by Laoshan Laboratory (LSKJ202300305). We thank Prof. Wei Hu (University of Science and Technology of China) and Prof. Wenjing Ma (Institute of Software, Chinese Academy of Sciences) for helpful discussions. We also appreciate the reviewers for de

Metadata

完整论文信息Full record

title: DB-SpGEMM: A Massively Distributed Block-Sparse Matrix-Matrix Multiplication for Linear-Scaling DFT Calculations
title_zh: 待补充
abstract: 待补充
abstract_zh: 待补充
keywords: HPC, DFT, Distributed, 学位认定 B, CCF B
year: 2024
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: 10.1145/3673038.3673159
research_area: 高性能计算与并行算法
tags: HPC, DFT, Distributed, 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: Zhong Zheng, Junshi Chen, Yang Zhao, Longsheng Song, Xinming Qin, Hong An
corresponding_authors: 待补充
affiliations: 待补充
funding: 崂山实验室项目

Research area

高性能计算与并行算法

Citation

Zhong Zheng, Junshi Chen, Yang Zhao, Longsheng Song, Xinming Qin, Hong An, DB-SpGEMM: A Massively Distributed Block-Sparse Matrix-Matrix Multiplication for Linear-Scaling DFT Calculations, In the Proceedings of the 51st International Conference on Parallel Processing (ICPP 2024), Gotland, Sweden, August 12–15, 2024. (CCF B)

BibTeX

@article{acsa2024_30,
  title = {DB-SpGEMM: A Massively Distributed Block-Sparse Matrix-Matrix Multiplication for Linear-Scaling DFT Calculations},
  year = {2024},
  doi = {10.1145/3673038.3673159}
}