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Detecting Earthquakes around Salton Sea Following the 2010 Mw7.2 El Mayor-Cucapah Earthquake Using GPU Parallel Computing

机译:在2010 MW7.2 El Mayor-Cucapah地震之后检测萨尔顿海周围地震使用GPU并行计算

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The recently developed matched filter technique is effective in detecting earthquakes during intensive aftershock or swarm sequences. However, currently our detection code can only process on single-CPU computers, which takes a long time to perform the cross-correlation between continuous seismic data and template events. In this paper, we present a GPU-based computation method to significantly accelerate the detection algorithm. By dividing the procedure into several routines and processing them in parallel, we achieve ~40 times speedup for one Nvidia GPU card compared to sequential CPU code. We apply the paralleled code to search around the Salton Sea geothermal field for missing earthquakes in a 90-day time window around the occurrence time of the 2010 Mw7.2 El Mayor-Cucapah earthquake. We obtain ~70 times more earthquakes than listed in the official Southern California Seismic Network catalog. These newly detected events could be used to help to better understand how earthquakes are triggered in the immediate vicinity of a mainshock rupture.
机译:最近开发的匹配过滤技术有效地检测了密集的余震或群序列期间的地震。但是,目前我们的检测代码只能处理单CPU计算机,这需要很长时间才能执行连续地震数据和模板事件之间的互相关。在本文中,我们提出了一种基于GPU的计算方法,以显着加速检测算法。通过将程序分为多个例程并并行处理它们,我们与顺序CPU代码相比,我们实现了一个NVIDIA GPU卡的加速〜40倍。我们将并行代码应用于在2010 MW7.2 El Mayor-Cucapah地震发生的90天的时间窗口中搜索Salton海地热场。我们在南部加州南部地震网络目录中获得了〜70倍而不是上市的地震。这些新检测到的事件可用于帮助更好地了解地震如何在主歇地破裂的附近触发。

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