Direct numeric simulation of sheared convective boundary layer entrainment with GPUs
Stewart, Nicholas J., Holmes, David W., Lin, Wenxian, Armfield, Steven W., and Kirkpatrick, Michael P. (2013) Direct numeric simulation of sheared convective boundary layer entrainment with GPUs. In: Proceedings of the 5th Asia Pacific Congress on Computational Mechanics and 4th International Symposium on Computational Mechanics. 1392. pp. 1-8. From: APCOM and ISCM 2013: 5th Asia Pacific Congress on Computational Mechanics and 4th International Symposium on Computational Mechanics, 11-14 December 2013, Singapore.
PDF (Published Version)
- Published Version
Restricted to Repository staff only |
Abstract
Sheared convective boundary layers (SCBL) are a frequently observed boundary layer in nature and industry. This paper presents work conducted to validate a numerical fluid model of sheared convective boundary layers implemented in Nvidia's CUDA programming language for graphical processing units. The code is based on finite difference implementation of the SIMPLE algorithm using the Boussinesq approximation to couple the energy equation through the buoyancy term. Work presented shows validation of the model on simpler test cases that are more thoroughly understood, and the model shows agreement with physical phenomena.
Item ID: | 32647 |
---|---|
Item Type: | Conference Item (Research - E1) |
Keywords: | high performance computing, GPGPU, CUDA, boundary layer |
Related URLs: | |
Funders: | Australian Research Council (ARC) |
Projects and Grants: | arc (DP110102343) |
Date Deposited: | 23 May 2014 05:30 |
FoR Codes: | 09 ENGINEERING > 0915 Interdisciplinary Engineering > 091501 Computational Fluid Dynamics @ 40% 08 INFORMATION AND COMPUTING SCIENCES > 0805 Distributed Computing > 080501 Distributed and Grid Systems @ 40% 09 ENGINEERING > 0915 Interdisciplinary Engineering > 091504 Fluidisation and Fluid Mechanics @ 20% |
SEO Codes: | 97 EXPANDING KNOWLEDGE > 970109 Expanding Knowledge in Engineering @ 60% 97 EXPANDING KNOWLEDGE > 970108 Expanding Knowledge in the Information and Computing Sciences @ 40% |
Downloads: |
Total: 8 |
More Statistics |