Parallel performance of a lattice-Boltzmann/finite element cellular blood flow solver on the IBM Blue Gene/P architecture |
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Authors: | Jonathan R. Clausen Cyrus K. Aidun |
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Affiliation: | George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, United States |
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Abstract: | We discuss the parallel implementation and scaling results of a hybrid lattice-Boltzmann/finite element code for suspension flow simulations. This code allows the direct numerical simulation of cellular blood flow, fully resolving the two-phase nature of blood and the deformation of the suspended phase. A brief introduction to the numerical methods employed is given followed by an outline of the code structure. Scaling results obtained on Argonne National Laboratories IBM Blue Gene/P (BG/P) are presented. Details include performance characteristics on 512 to 65,536 processor cores. |
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Keywords: | Lattice-Boltzmann Suspension flows High performance computing Blue Gene/P |
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