Benchmarks on tera-scalable models for DNS of turbulent channel flow

Authors:
J. Xu
Affiliations:
Physics Division, Argonne National Laboratory, 9700 S. Cass Ave., Argonne, IL 60439, USA
Venue:
Parallel Computing
Year:
2007

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Abstract

Due to the extensive requirements of memory and speed for direct numerical simulation (DNS) of channel turbulence, people could only perform DNS at moderate Reynolds number before. However, with the fast development of supercomputers, it has become more and more approachable for researchers to perform DNS of turbulence at high Reynolds number. This makes it imperative to consider the development of tera-scalable DNS codes that are capable of fully exploiting these massively parallel machines. In order to achieve this, three parallel models (1D, 2D and 3D decompositions) have been implemented and benchmarked. All these models have been successfully ported on BlueGene/L. We have benchmarked these models on BG/L at ANL and BGW at IBM Watson center. Details of these models have been described, discussed and presented in this paper. The optimized model can be used to perform DNS at high Reynolds number in the near future.