Abstract
We propose an implementation of Lattice Boltzmann (LB) method on GPUs for simulating airflow in pulmonary airways with complex branches. An adaptive meshing method is developed for optimizing memory accessing, where the global domain comprises unstructured subdomains, while the local subdomain consists of a structured grids.We also develop a multi-GPU computing method based on a domain decomposition. For strong scaling tests with a subject-specific geometry (12 million LB nodes), the performance on 8 GPUs is approximately 200 GFLOPS, which is 100 times faster computation than 8 CPU cores.
Original language | English |
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Title of host publication | Computational Modelling of Objects Represented in Images |
Subtitle of host publication | Fundamentals, Methods and Applications III - Proceedings of the International Symposium, CompIMAGE 2012 |
Pages | 239-242 |
Number of pages | 4 |
Publication status | Published - 2012 Oct 26 |
Event | 3rd International Symposium on Computational Modelling of Objects Represented in Images: Fundamentals, Methods and Applications, CompIMAGE 2012 - Rome, Italy Duration: 2012 Sept 5 → 2012 Sept 7 |
Other
Other | 3rd International Symposium on Computational Modelling of Objects Represented in Images: Fundamentals, Methods and Applications, CompIMAGE 2012 |
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Country/Territory | Italy |
City | Rome |
Period | 12/9/5 → 12/9/7 |
ASJC Scopus subject areas
- Computational Theory and Mathematics
- Modelling and Simulation