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

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，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）

@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}
}