GPU implementation of a novel hybrid lattice Boltzmann method for non-isothermal flows

Authors:
Mahesh Mynam;Nachiket Sahasrabudhe;Ajay Nandgaonkar
Affiliations:
Computational Research Laboratories Limited, TACO House, Damle Path, Pune, India;Computational Research Laboratories Limited, TACO House, Damle Path, Pune, India;Computational Research Laboratories Limited, TACO House, Damle Path, Pune, India
Venue:
Proceedings of the 5th ACM COMPUTE Conference: Intelligent & scalable system technologies
Year:
2012

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Abstract

We propose a new method to simulate non-isothermal flows. This method is ideally suited for the GPU architecture. The new algorithm is derived by coupling the lattice Boltzmann formulation for the flow with the finite difference scheme for the temperature field. We apply this algorithm to solve for the flow in the well known buoyancy driven cavity problem and verify the validity of the algorithm and its GPU implementation by benchmarking the thermal flow patterns with known results. The implementation details on the GPU are discussed in detail to bring out the inherent advantage of the GPU hardware for such data parallel applications.