Towards Scalable Unstructured Mesh Computations on Shared Memory Many-Cores-Reference-Cited by-同舟云学术

Towards Scalable Unstructured Mesh Computations on Shared Memory Many-Cores

Published:2024-02-20 Issue: Volume: Page:109-119
ISSN:
Container-title:Proceedings of the 29th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming
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Author:

Qiu Haozhong¹^ORCID,Xu Chuanfu²^ORCID,Fang Jianbin¹^ORCID,Deng Liang³^ORCID,Zhang Jian³^ORCID,Wang Qingsong¹^ORCID,Ding Yue¹^ORCID,Dai Zhe³^ORCID,Che Yonggang²^ORCID,Chen Shizhao¹^ORCID,Liu Jie²^ORCID

Affiliation:

1. College of Computer Science and Technology, National University of Defense Technology, Changsha, China

2. Laboratory of Digitizing Software for Frontier Equipment, College of Computer Science and Technology, National University of Defense Technology, Changsha, China

3. China Aerodynamic Research and Development Center, Mianyang, China

Funder

National Natural Science Foundation of China

Ministry of Science and Technology of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3627535.3638473

Reference33 articles.

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3. Some useful strategies for unstructured edge-based solvers on shared memory machines

4. Cédric Augonnet, Samuel Thibault, Raymond Namyst, and Pierre-André Wacrenier. 2011. StarPU: A Unified Platform for Task Scheduling on Heterogeneous Multicore Architectures. Concurrency and Computation: Practice and Experience 23, 2 (2011).

5. Vicente H. F. Batista, George O. Ainsworth, and Fernando L. B. Ribeiro. 2010. Parallel Structurally-symmetric Sparse Matrix-Vector Products on Multi-core Processors. ArXiv abs/1003.0952 (2010). https://api.semanticscholar.org/CorpusID:1090959