Enabling Tractable Exploration of the Performance of Adaptive Mesh Refinement

C. Vaughan, R. Barrett
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引用次数: 13

Abstract

A broad range of physical phenomena in science and engineering can be explored using finite difference and volume based application codes. Incorporating Adaptive Mesh Refinement (AMR) into these codes focuses attention on the most critical parts of a simulation, enabling increased numerical accuracy of the solution while limiting memory consumption. However, adaptivity comes at the cost of increased runtime complexity, which is particularly challenging on emerging and expected future architectures. In order to explore the design space offered by new computing environments, we have developed a proxy application called miniAMR. MiniAMR exposes a range of the important issues that will significantly impact the performance potential of full application codes. In this paper, we describe miniAMR, demonstrate what is designed to represent in a full application code, and illustrate how it can be used to exploit future high performance computing architectures. To ensure an accurate understanding of what miniAMR is intended to represent, we compare it with CTH, a shock hydrodynamics code in heavy use throughout several computational science and engineering communities.
实现自适应网格细化性能的可处理探索
科学和工程中广泛的物理现象可以使用有限差分和基于体积的应用程序代码进行探索。将自适应网格细化(AMR)整合到这些代码中,将注意力集中在模拟的最关键部分,从而提高了解决方案的数值精度,同时限制了内存消耗。然而,适应性是以增加运行时复杂性为代价的,这在新兴的和预期的未来架构中尤其具有挑战性。为了探索新的计算环境提供的设计空间,我们开发了一个名为miniAMR的代理应用程序。MiniAMR暴露了一系列重要问题,这些问题将显著影响完整应用程序代码的性能潜力。在本文中,我们描述了miniAMR,演示了在完整的应用程序代码中设计了什么,并说明了如何使用它来开发未来的高性能计算架构。为了确保准确理解miniAMR所代表的内容,我们将其与CTH进行比较,CTH是一种在多个计算科学和工程社区中大量使用的激波流体力学代码。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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