ABSTRACT
The BCF(Brownian Configuration Fields) method is one of the most promising multi-scale approaches for simulating complex fluids. As a novel parallel algorithm, the MCDPar algorithm could be used to significantly reduce the time cost of BCF-based multi-scale fluid simulations. In this paper, we focus on the parallel performance model for a MCDPar solver on massively parallel computers. A theoretical model to predicting the overall time cost is proposed and the key parameters are fitted through experimental results. This performance model explains the significant performance improvement observed previously and could be used for cost estimation and parameter design.
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Index Terms
- Modeling performance of the multiscale fluid numerical solver on large-scale parallel computers
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