Multi-level Load Balancing Strategies for Massively Parallel Smoothed Particle Hydrodynamics Simulation-Reference-Cited by-同舟云学术

Multi-level Load Balancing Strategies for Massively Parallel Smoothed Particle Hydrodynamics Simulation

Published:2024-08-12 Issue: Volume:7 Page:400-410
ISSN:
Container-title:Proceedings of the 53rd International Conference on Parallel Processing
language:
Short-container-title:

Author:

Zhang Yi¹^ORCID,Zhang Ziyu¹^ORCID,Zhao Yang¹^ORCID,Chen Junshi²^ORCID,An Hong²^ORCID,Wang Zhanming¹^ORCID,Chen Longkui¹^ORCID

Affiliation:

1. University of Science and Technology of China, China

2. University of Science and Technology of China, China and Laoshan Laboratory, China

Funder

the Strategic Priority Research Program of Chinese Academy of Sciences

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3673038.3673090

Reference34 articles.

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4. Josh Borrow, Richard G. Bower, Peter W. Draper, Pedro Gonnet, and Matthieu Schaller. 2018. SWIFT: Maintaining weak-scalability with a dynamic range of 104 in time-step size to harness extreme adaptivity. CoRR abs/1807.01341 (2018). arXiv:1807.01341http://arxiv.org/abs/1807.01341

5. A Smoothed Particle Hydrodynamics Mini-App for Exascale