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首页> 外文期刊>Seismological research letters >Fast Matched Filter (FMF): An Efficient Seismic Matched-Filter Search for Both CPU and GPU Architectures
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Fast Matched Filter (FMF): An Efficient Seismic Matched-Filter Search for Both CPU and GPU Architectures

机译：快速匹配的过滤器（FMF）：对CPU和GPU架构的有效地震匹配滤波器搜索

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摘要

Matched-filter searches are an important tool in modern seismology to detect seismic events. They operate via an algorithm that computes the correlation coefficient between a template event and a sliding window of continuous seismic records. A detection is recorded when the correlation coefficient crosses an established threshold. We present an optimized program, called Fast Matched Filter (FMF), that efficiently runs a net-work-based matched-filter search with either central processing units (CPUs) or Nvidia graphics processing units (GPUs). Wrappers for both Python and MATLAB (CPU only) are provided to easily run FMF on a wide range of computational resources, from multicore laptops to specialized computing clusters with GPUs. Both implementations leverage a significantly similar structure when it comes to the continuous computation of correlation coefficients in the time domain to achieve rapid performance. The highly parallel architecture of GPUs lends itself perfectly to the matched-filter algorithm, and we achieve the fastest run times with our GPU implementation. FMF allows for seismic network-based matched-filter-ing between a large set of template waveforms and a large continuous dataset in a reasonable amount of time. Such fast run times are an important step in expanding the scope oí earthquake detection and fostering the reproducibility of such studies.
机译：匹配过滤搜索是现代地震学中的重要工具，以检测地震事件。它们通过算法操作，该算法计算模板事件与连续地震记录的滑动窗口之间的相关系数。当相关系数交叉建立的阈值时，记录检测。我们介绍了一个被称为快速匹配过滤器（FMF）的优化程序，可有效运行基于网络的匹配滤波器搜索，其中包含中央处理单元（CPU）或NVIDIA图形处理单元（GPU）。 Python和Matlab（仅限CPU）的包装器可以在多核电脑到GPU的专用计算集群中轻松运行FMF。当涉及时域中的相关系数的连续计算时，这两种实现都利用了显着相似的结构，以实现快速性能。 GPU的高度平行架构非常适合匹配过滤算法，我们通过GPU实现实现最快的运行时间。 FMF允许在一大组模板波形和大连续数据集之间进行地震基于网络的匹配滤波器，在合理的时间内。这种快速运行时间是扩展范围盎司地震检测和促进这些研究的再现性的重要一步。

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