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Accelerating earthquake simulations on general-purpose graphics processors

机译:在通用图形处理器上加速地震模拟

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Parallelization strategies are presented for Virtual Quake, a numerical simulation code for earthquakes basedrnon topologically realistic systems of interacting earthquake faults. One of the demands placed upon the simulationrnis the accurate reproduction of the observed earthquake statistics over three to four decades. Thisrnrequires the use of a high-resolution fault model in computations, which demands computational power thatrnis well beyond the scope of off-the-shelf multi-core CPU computers. However, the recent advances inrngeneral-purpose graphic processing units have the potential to address this problem at moderate cost increments.rnA functional decomposition of Virtual Quake is performed, and opportunities for parallelization arerndiscussed in this work. Computationally intensive modules are identified, and these are implemented onrngraphics processing units, significantly speeding up earthquake simulations. In the current best case scenario,rna computer with six graphics processing units can simulate 500 years of fault activity in Californiarnat 1.5km × 1.5km element resolution in less than 1 hour, whereas a single CPU requires more than 2 daysrnto perform the same simulation.
机译:提出了针对虚拟地震的并行化策略,这是一种基于地震的非拓扑现实系统,用于相互作用的地震断层的地震数值模拟代码。对仿真器的要求之一是在三到四十年内准确再现观测到的地震统计数据。这要求在计算中使用高分辨率的故障模型,这要求的计算能力远远超出了现成的多核CPU计算机的范围。但是,通用图形处理单元的最新进展有可能以适度的成本增加来解决该问题。进行了Virtual Quake的功能分解,并在此工作中讨论了并行化的机会。识别出计算密集型模块,并将其实施在图形处理单元上,从而大大加快了地震模拟的速度。在当前的最佳情况下,具有六个图形处理单元的RN计算机可以在不到1小时的时间内模拟1.5 km×1.5 km的加利福尼亚州500年的故障活动,而单个CPU需要2天以上的时间才能执行相同的模拟。

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