SparStencil: Retargeting Sparse Tensor Cores to Scientific Stencil Computations via Structured Sparsity Transformation

Qi LiKun LiHaozhi HanLiang YuanJunshi ChenYunquan ZhangYifeng ChenHong An

量子计算方向论文：SparStencil: Retargeting Sparse Tensor Cores to Scientific Stencil Compu

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内容导读Reading note

分类与摘要Category & abstract

围绕量子计算实验与系统能力展开，适合作为量子方向的代表性成果入口。

Metadata

完整论文信息Full record

title: SparStencil: Retargeting Sparse Tensor Cores to Scientific Stencil Computations via Structured Sparsity Transformation
title_zh: 待补充
abstract: 待补充
abstract_zh: 待补充
keywords: Quantum, 学位认定 A, CCF A
year: 2025
published_date: 待补充
online_date: 待补充
paper_type: Preprint
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: 10.1145/3712285.3759820
research_area: 量子计算
tags: Quantum, 学位认定 A, CCF A
category: 量子计算
summary: 围绕量子计算实验与系统能力展开，适合作为量子方向的代表性成果入口。
authors: Qi Li, Kun Li, Haozhi Han, Liang Yuan, Junshi Chen, Yunquan Zhang, Yifeng Chen, Hong An
corresponding_authors: 待补充
affiliations: 待补充
funding: 待补充

Research area

量子计算

Citation

Qi Li, Kun Li*, Haozhi Han, Liang Yuan, Junshi Chen, Yunquan Zhang, Yifeng Chen, Hong An, Ting Cao, Mao Yang，SparStencil: Retargeting Sparse Tensor Cores to Scientific Stencil Computations via Structured Sparsity Transformation，In: Proceedings of International Conference for High Performance Computing, Networking, Storage and Analysis（SC25），St. Louis, MO, United states，November 16, 2025 - November 21, 2025，1495-1509 ，(CCF-A) Qi Li, Kun Li*, Haozhi Han, Honghui Shang, Xinfu He, Yunquan Zhang, Hong An, Ting Cao, Mao Yang，SwarmThinkers: Learning Physically Consistent Atomic KMC Transitions at Scale，arXiv Haozhi Han, Kun Li*, Fusong Ju, Qi Li, Yifeng Chen, Yunquan Zhang, Ting Cao, Mao Yang，From Deep Learning to Deep Science: AI Accelerators Scaling Quantum Chemistry Beyond Limits，SC 2025

BibTeX

@article{acsa2025_9,
  title = {SparStencil: Retargeting Sparse Tensor Cores to Scientific Stencil Computations via Structured Sparsity Transformation},
  year = {2025},
  doi = {10.1145/3712285.3759820}
}