The Gyrokinetic Particle Simulation of Fusion Plasmas on Tianhe-2 Supercomputer

Endong Wang, Shaohua Wu, Qing Zhang, Jun Liu, Wenlu Zhang, Zhihong Lin, Yutong Lu, Yunfei Du, Xiaoqian Zhu
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引用次数: 5

Abstract

We present novel optimizations of the fusion plasmas simulation code, GTC on Tianhe-2 supercomputer. The simulation exhibits excellent weak scalability up to 3072 31S1P Xeon Phi co-processors. An unprecedented up to 5.8× performance improvement is achieved for the GTC on Tianhe-2. An efficient particle exchanging algorithm is developed that simplifies the original iterative scheme to a direct implementation, which leads to a 7.9× performance improvement in terms of MPI communications on 1024 nodes of Tianhe-2. A customized particle sorting algorithm is presented that delivers a 2.0× performance improvement on the co-processor for the kernel relating to the particle computing. A smart offload algorithm that minimizes the data exchange between host and co-processor is introduced. Other optimizations like the loop fusion and vectorization are also presented.
聚变等离子体在天河二号超级计算机上的回旋动力学粒子模拟
在天河2号超级计算机上对聚变等离子体模拟代码GTC进行了新的优化。该仿真显示了出色的弱可扩展性,最多可达3072个31S1P Xeon Phi协处理器。天河2号的GTC实现了前所未有的高达5.8倍的性能改进。提出了一种有效的粒子交换算法,将原迭代方案简化为直接实现,使天河二号1024个节点的MPI通信性能提高7.9倍。提出了一种自定义的粒子排序算法,该算法在与粒子计算相关的内核协处理器上的性能提高了2.0倍。介绍了一种使主机与协处理器之间的数据交换最小化的智能卸载算法。其他优化如环路融合和矢量化也被提出。
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