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Fast seismic modeling and reverse time migration on a graphics processing unit cluster

机译:图形处理单元集群上的快速地震建模和逆时偏移

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We designed a fast parallel simulator that solves the acoustic wave equation on a graphics processing unit (GPU) cluster. Solving the acoustic wave equation in an oil exploration industrial context aims at speeding up seismic modeling and reverse time migration (RTM). We considered a finite difference approach on a regular mesh, in both two-dimensional and three-dimensional cases. The acoustic wave equation is solved in a constant density or a variable density domain. All the computations were carried out in single precision (both in the CPU reference implementation and in the GPU implementation), because double precision was not required in our context. We used Compute Unified Device Architecture to take advantage of the GPU computational power. We studied different implementations and their impact on the application performance. The described application handles all the steps of seismic modeling and RTM and is used to solve real-world problems in an industrial production context. We obtained a speedup of 16 for RTM and up to 43 for the modeling application over a sequential code running on general-purpose CPUs. A CPU rack versus a GPU rack comparison was described and showed a 4.3 speedup.
机译:我们设计了一种快速并行模拟器,用于解决图形处理器(GPU)集群上的声波方程。在石油勘探工业环境中求解声波方程旨在加快地震建模和逆时偏移(RTM)。在二维和三维情况下,我们都考虑了规则网格上的有限差分方法。在恒定密度或可变密度域中求解声波方程。所有计算都以单精度进行(在CPU参考实现和GPU实现中),因为在我们的上下文中不需要双精度。我们使用Compute Unified Device Architecture来利用GPU的计算能力。我们研究了不同的实现及其对应用程序性能的影响。所描述的应用程序处理了地震建模和RTM的所有步骤,并用于解决工业生产环境中的实际问题。通过在通用CPU上运行的顺序代码,我们将RTM的速度提高了16倍,将建模应用程序的速度提高了43倍。描述了CPU机架与GPU机架的比较,并显示了4.3的加速。

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