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Extreme scaling in turbulence simulations: challenges and opportunities for the research community

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The Nature of High Reynolds Number Turbulence

Current trends in developments towards Petascale computer hardware have pointed to the importance of developing algorithms in various fields of science capable of scaling up to extremely large numbers of parallel processing elements. We present performance benchmarking data for a turbulence simulation code based on a domain decomposition technique that allows the use of up to $N2$ cores on $N3$ periodic domain, with the largest test to date being at $N=8192$ on 32768 cores. While significant technical challenges remain in the path towards true Petascale performance in more complex geometries, we will discuss a range of opportunities for sharing both data and codes with the research community in order to maximize the scientific benefits of continuing rapid advances in computing power.

This talk is part of the Isaac Newton Institute Seminar Series series.

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