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arXiv physics/9704011physics.plasm-phphysics.comp-ph
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托卡马克等离子体Turbulence的模拟

Simulating Plasma Turbulence in Tokamaks

Jeremy Kepner, Scott Parker, Viktor Decyk

摘要:

更好地理解和控制当今托卡马克聚变实验中的湍流热输运是一个具有挑战性和基础性的研究问题。数值方法的最新发展以及计算能力的巨大提高使大规模模拟成为提高我们对这一现象理解的重要工具。模拟这种高度非线性的行为需要解决五个维度的相空间分布函数的扰动。我们使用一个粒子在细胞的方法来解决方程。该代码已被并行化的各种架构(C90,CM-5,T3 D)使用1-D域分解沿环形轴,其中每个单元中的粒子数保持近似恒定。粒子的准均匀分布,最大限度地减少了负载不平衡,加上粒子在单元中的相对较小的移动,最大限度地减少了通信,使得这个问题非常适合大规模并行架构。我们提出了不同数量的处理器和问题大小的程序的性能。此外,我们讨论了一些最近的科学成果,从代码。

英文摘要:

A challenging and fundamental research problem is the better understanding and control of the turbulent transport of heat in present-day tokamak fusion experiments. Recent developments in numerical methods along with enormous gains in computing power have made large-scale simulations an important tool for improving our understanding of this phenomena. Simulating this highly non-linear behavior requires solving for the perturbations of the phase space distribution function in five dimensions. We use a particle-in-cell approach to solve the equations. The code has been parallelized for a variety of architectures (C90, CM-5, T3D) using a 1-D domain decomposition along the toroidal axis, for which the number of particles in each cell remains approximately constant. The quasi-uniform distribution of particles, which minimizes load imbalance, coupled with the relatively small movement of particles across cells, which minimizes communications, makes this problem ideally suited to massively parallel architectures. We present the performance of the program for different numbers of processors and problem sizes. In addition, we discuss some recent scientific results obtained from the code.

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