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Abstract: Communication Overlap Techniques for Improved Strong Scaling of Gyrokinetic Eulerian Code beyond 100k Cores on the K-Computer

机译:摘要:通信重叠技术可提高K计算机上超过100k内核的陀螺运动欧拉编码的强缩放比例

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摘要

A plasma turbulence research based on 5D gyrokinetic simulations is one of the most critical and demanding issues in fusion science. To pioneer new physics regimes both in problem sizes and in time scales, an improvement of strong scaling is essential. Overlap of computations and communications is a promising approach in improving strong scaling, but it often fails on practical applications with conventional MPI libraries. In this work, this classical issue is revisited, and resolved by communication overlap techniques, which work even on conventional MPI libraries. These techniques dramatically improve the parallel efficiency of a gyrokinetic Eularian code GT5D on the K-computer and the Helios, which are based on dedicated and commodity networks, respectively. On the K-computer, excellent strong scaling is confirmed beyond 100k cores with keeping the peak ratio of ~10% (~307 TFlops using 196,608 cores), and simulations for ITER-size fusion devices are significantly accelerated.
机译:基于5D陀螺动力学模拟的等离子体湍流研究是融合科学中最关键和最苛刻的问题之一。为了在问题大小和时间尺度上开拓新的物理机制,必须改进强尺度。计算和通信的重叠是改善强扩展性的一种有前途的方法,但是在使用常规MPI库的实际应用中,它经常会失败。在这项工作中,这个经典问题被重新审视,并通过通信重叠技术解决,该技术甚至可以在常规MPI库上使用。这些技术极大地提高了分别基于专用网络和商用网络的K计算机和Helios上的回旋式Eularian代码GT5D的并行效率。在K计算机上,已确认在超过100k内核的情况下仍具有出色的强缩放能力,并且保持了约10%的峰值比率(使用196,608内核的〜307 TFlops),并且大大加快了ITER尺寸融合设备的仿真。

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