Bei Wang, S. Ethier, W. Tang, T. Williams, K. Ibrahim, Kamesh Madduri, Samuel Williams, L. Oliker
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引用次数: 24
摘要
解决磁约束聚变等离子体约束特性的可靠预测模拟能力对ITER至关重要,ITER是一个耗资200亿美元的国际燃烧等离子体装置,正在法国建设中。动力学湍流的复杂研究可能会严重限制能量约束并影响聚变系统的经济可行性,因此需要对这种前所未有的设备尺寸进行极端规模的模拟。我们最新优化的、全局的、从头算的单元内粒子代码解决了基于旋转动力学理论的非线性方程,在ALCF的786,432核Mira和LLNL的1,572,864核Sequoia的满容量IBM Blue Gene/Q上,在“解决时间”方面取得了出色的性能。新GTC-P代码中最近的多线程和域分解优化代表了现代低内存每核系统的重要软件进步,通过实现前所未有的规模(1.3亿个网格点)和分辨率(650亿个粒子)的常规模拟。
Kinetic turbulence simulations at extreme scale on leadership-class systems
Reliable predictive simulation capability addressing confinement properties in magnetically confined fusion plasmas is critically-important for ITER, a 20 billion dollar international burning plasma device under construction in France. The complex study of kinetic turbulence, which can severely limit the energy confinement and impact the economic viability of fusion systems, requires simulations at extreme scale for such an unprecedented device size. Our newly optimized, global, ab initio particle-in-cell code solving the nonlinear equations underlying gyrokinetic theory achieves excellent performance with respect to “time to solution” at the full capacity of the IBM Blue Gene/Q on 786,432 cores of Mira at ALCF and recently of the 1,572,864 cores of Sequoia at LLNL. Recent multithreading and domain decomposition optimizations in the new GTC-P code represent critically important software advances for modern, low memory per core systems by enabling routine simulations at unprecedented size (130 million grid points ITER-scale) and resolution (65 billion particles).