This framework represents the fastest implementation of an extended GPU SPH method utilizing the uniform grid approach.
This project is the source code of "Novel Hierarchical Strategies for SPH-centric Algorithms on GPGPU" and "A General Novel Parallel Framework for SPH-centric Algorithms".
This project offers the fastest optimization strategy utilizing the Uniform grid. When compared to a well-optimized GPU SPH method based on the uniform grid, the method proposed in the papers demonstrates a significant speed improvement of up to 3.5 times. As a result, it serves as an excellent benchmark for conducting further research on GPU SPH and facilitates meaningful comparisons.
Source code contributor: Kemeng Huang, Jiming Ruan
Note: this software is released under the MPLv2.0 license. For commercial use, please email authors for negotiation.
Please cite the following papers if it helps.
@article{HUANG2020101088,
title = {Novel hierarchical strategies for SPH-centric algorithms on GPGPU},
journal = {Graphical Models},
volume = {111},
pages = {101088},
year = {2020},
issn = {1524-0703},
doi = {https://doi.org/10.1016/j.gmod.2020.101088},
url = {https://www.sciencedirect.com/science/article/pii/S152407032030028X},
author = {Kemeng Huang and Zipeng Zhao and Chen Li and Changbo Wang and Hong Qin}
}
@article{10.1145/3321360,
author = {Huang, Kemeng and Ruan, Jiming and Zhao, Zipeng and Li, Chen and Wang, Changbo and Qin, Hong},
title = {A General Novel Parallel Framework for SPH-Centric Algorithms},
year = {2019},
issue_date = {May 2019},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
volume = {2},
number = {1},
url = {https://doi.org/10.1145/3321360},
doi = {10.1145/3321360},
journal = {Proc. ACM Comput. Graph. Interact. Tech.},
month = {jun},
articleno = {7},
numpages = {16}
}