waLBerla: Optimization for Itanium-based Systems with Thousands of Processors

S. Donath (), J. Götz, C. Feichtinger, K. Iglberger and U. Rüde
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S. Donath: University of Erlangen-Nuremberg, Computer Science Department 10 (System Simulation)
J. Götz: University of Erlangen-Nuremberg, Computer Science Department 10 (System Simulation)
C. Feichtinger: University of Erlangen-Nuremberg, Computer Science Department 10 (System Simulation)
K. Iglberger: University of Erlangen-Nuremberg, Computer Science Department 10 (System Simulation)
U. Rüde: University of Erlangen-Nuremberg, Computer Science Department 10 (System Simulation)

A chapter in High Performance Computing in Science and Engineering, Garching/Munich 2009, 2010, pp 27-38 from Springer

Abstract: Abstract Performance optimization is an issue at different levels, in particular for computing and communication intensive codes like free surface lattice Boltzmann. This method is used to simulate liquid-gas flow phenomena such as bubbly flows and foams. Due to a special treatment of the gas phase, an aggregation of bubble volume data is necessary in every time step. In order to accomplish efficient parallel scaling, the all-to-all communication schemes used up to now had to be replaced with more sophisticated patterns that work in a local vicinity. With this approach, scaling could be improved such that simulation runs on up to 9 152 processor cores are possible with more than 90% efficiency. Due to the computation of surface tension effects, this method is also computational intensive. Therefore, also optimization of single core performance plays a tremendous role. The characteristics of the Itanium processor require programming techniques that assist the compiler in efficient code vectorization, especially for complex C++ codes like the waLBerla framework. An approach using variable length arrays shows promising results.

Keywords: Lattice Boltzmann Method; Bubble Coalescence; Code Vectorization; Lattice Boltzmann Equation; D3Q19 Model (search for similar items in EconPapers)
Date: 2010
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DOI: 10.1007/978-3-642-13872-0_3

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