GPU computing of compressible flow problems by a meshless method with space-filling curves
- Submitting institution
-
Manchester Metropolitan University
- Unit of assessment
- 12 - Engineering
- Output identifier
- 1772
- Type
- D - Journal article
- DOI
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10.1016/j.jcp.2014.01.023
- Title of journal
- Journal of Computational Physics
- Article number
- -
- First page
- 113
- Volume
- 263
- Issue
- -
- ISSN
- 0021-9991
- Open access status
- Out of scope for open access requirements
- Month of publication
- January
- Year of publication
- 2014
- URL
-
http://e-space.mmu.ac.uk/579068/
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
2
- Research group(s)
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B - Mathematical Modelling and Flow Analysis
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Although meshless methods are robust in handling complex geometric configurations for fluid dynamics, they suffer low efficiency due to computation overhead. This paper reports on the development of a novel GPU based compressible meshless method for the first time. The work succeeded in accelerating calculations by more than 30 times, and led to a new research direction in developing fast meshless methods for computational fluid dynamics. The work contributed to the award of an EPSRC project: High-fidelity simulation of air entrainment in breaking wave impacts (EP/S011862/1), in which GPU computing was used to speed up a compressible multiphase hydro-code
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -