swYAKL: A Data Parallel Runtime on Manycore Architecture

Yanwei YeJunshi ChenHong QianKunxian LinHong An

高性能计算与并行算法方向论文：swYAKL: A Data Parallel Runtime on Manycore Architecture

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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

e on Manycore Architecture Yanwei Ye1, Junshi Chen 1,2, Hong Qian 1, Kunxian Lin 1, Yuanhang Li 1, Hong An 1,2 1University of Science and Technology of China, Hefei, Anhui, China 2Laoshan Laboratory, Qingdao, Shandong, China yanweiye@mail.ustc.edu.cn, cjuns@ustc.edu.cn, {qh1986, linkx, voyage}@mail.ustc.edu.cn, han@ustc.edu.cn Corresponding author: Junshi Chen, Hong An, cjuns, han@ustc.edu.cn Abstract—The tradition || e on Manycore Architecture Yanwei Ye1, Junshi Chen 1,2, Hong Qian 1, Kunxian Lin 1, Yuanhang Li 1, Hong An 1,2 1University of Science and Technology of China, Hefei, Anhui, China 2Laoshan Laboratory, Qingdao, Shandong, China yanweiye@mail.ustc.edu.cn, cjuns@ustc.edu.cn, {qh1986, linkx, voyage}@mail.ustc.edu.cn, han@ustc.edu.cn Corresponding author: Junshi Chen, Hong An, cjuns, han@ustc.edu.cn Abstract—Th || my of Sciences (XDB0500102) and the National Natural Science Founda- tion of China (Grant No. 62102389). The computing re- sources are financially supported by Laoshan Laboratory (LSKJ202300305). We appreciate the reviewers for dedicating their time and providing constructive comments on this paper. REFERENCES [1] T. Deakin, S. McIntosh-Smith, J. Price, A. Poenaru, P. Atkinson, C. Popa, and J. Salmon, “Perform || my of Sciences (XDB0500102) and the National Natural Science Founda- tion of China (Grant No. 62102389). The computing re- sources are financially supported by Laoshan Laboratory (LSKJ202300305). We appreciate the reviewers for dedicating their time and providing constructive comments on this paper. REFERENCES [1] T. Deakin, S. McIntosh-Smith, J. Price, A. Poenaru, P. Atkinson, C. Popa, and J. Salmon,

Metadata

完整论文信息Full record

title: swYAKL: A Data Parallel Runtime on Manycore Architecture
title_zh: 待补充
abstract: 待补充
abstract_zh: 待补充
keywords: HPC, Architecture, 学位认定 C, CCF C
year: 2025
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/hpcc64274.2024.00072
research_area: 高性能计算与并行算法
tags: HPC, Architecture, 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: Yanwei Ye, Junshi Chen, Hong Qian, Kunxian Lin, 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

Yanwei Ye, Junshi Chen, Hong Qian, Kunxian Lin, Hong An, swYAKL: A Data Parallel Runtime on Manycore Architecture. In Proceeding of the The 26th IEEE International Conference on High Performance Computing and Communications (HPCC 2024), Wuhan, China, December 13-15, 2024,pp. 490-497 (CCF C)

BibTeX

@article{acsa2025_18,
  title = {swYAKL: A Data Parallel Runtime on Manycore Architecture},
  year = {2025},
  doi = {10.1109/hpcc64274.2024.00072}
}