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首页> 外文期刊>Computing and visualization in science >Highly interactive computational steering for coupled 3D flow problems utilizing multiple GPUs: Towards intuitive desktop environments for interactive 3D fluid structure interaction
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Highly interactive computational steering for coupled 3D flow problems utilizing multiple GPUs: Towards intuitive desktop environments for interactive 3D fluid structure interaction

机译：利用多个GPU来解决耦合3D流动问题的高度交互式计算指导：面向直观的桌面环境进行交互式3D流体结构交互

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摘要

Most computational fluid dynamics (CFD) simulations require massive computational power which is usually provided by traditional High Performance Computing (HPC) environments. Although interactivity of the simulation process is highly appreciated by scientists and engineers, due to limitations of typical HPC environments, present CFD simulations are usually executed non interactively. A recent trend is to harness the parallel computational power of graphics processing units (GPUs) for general purpose applications. As an alternative to traditional massively parallel computing, GPU computing has also gained popularity in the CFD community, especially for its application to the lattice Boltzmann method (LBM). For instance, Tolke and others presented very efficient implementations of the LBM for 2D as well as 3D space (Toelke J, in Comput Visual Sci. (2008); Toelke J and Krafczk M, in Int J Comput Fluid Dyn 22(7): 443-456 (2008)). In this work we motivate the use of GPU computing to facilitate interactive CFD simulations. In our approach, the simulation is executed on multiple GPUs instead of traditional HPC environments, which allows the integration of the complete simulation process into a single desktop application. To demonstrate the feasibility of our approach, we show a fully bidirectional fluid-structure-interaction for self induced membrane oscillations in a turbulent flow. The efficiency of the approach allows a 3D simulation close to realtime.
机译：大多数计算流体动力学（CFD）模拟都需要大量的计算能力，这通常是由传统的高性能计算（HPC）环境提供的。尽管由于典型的HPC环境的局限性，科学家和工程师高度赞赏仿真过程的交互性，但当前的CFD仿真通常非交互地执行。最近的趋势是利用图形处理单元（GPU）的并行计算能力来实现通用应用。作为传统大规模并行计算的替代方法，GPU计算也已在CFD社区中获得普及，尤其是将其应用于格子Boltzmann方法（LBM）。例如，Tolke等人在2D和3D空间中展示了非常有效的LBM实现（Toelke J，Comput Visual Sci。（2008）; Toelke J和Krafczk M，Int J Comput Fluid Dyn 22（7）： 443-456（2008）。在这项工作中，我们鼓励使用GPU计算来促进交互式CFD仿真。在我们的方法中，仿真是在多个GPU上执行，而不是在传统的HPC环境中执行，从而可以将完整的仿真过程集成到单个桌面应用程序中。为了证明我们方法的可行性，我们展示了在湍流中自感应膜振动的完全双向流体-结构相互作用。该方法的效率允许接近实时的3D模拟。

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