HiperSeis: Supercharging Seismic Workflows on High Performance Computing Platforms

Dr Rakib Hassan1, Dr Babak Hejrani1, Dr Alexei Gorbatov1, Dr Fei Zhang1

1Geoscience Australia, Symonston, Australia


Geoscience Australia (GA) maintains a collection of permanent seismic stations scattered around continental Australia. GA also deploys temporal arrays of seismic stations, progressively spanning the entire continent, which acquire data at greater spatial resolutions, but over shorter time periods. In addition, GA has access to historical temporal deployments carried out by partner institutions.

Much of these data are stored on traditional file systems in legacy formats and are not amenable to data- and compute-intensive seismic workflows, e.g. detection of earthquake phase arrivals for generating body wave tomography and computation of cross-correlations for generating ambient noise tomography.

HiperSeis is a collection of software programs, developed to convert and process seismic waveform data. It comprises scripts for converting seismic waveform data into the Adaptable Seismic Data Format (ASDF), amenable to highly scalable parallel file-systems, e.g. the Lustre file-system available at the National Computational Infrastructure (NCI). It also contains parallelized modules for detecting earthquake phase arrivals and computing cross-correlations between waveform data from a pair of seismic stations.

Current results from parallel earthquake phase arrival detection, run on 336 cores, over more than 20 TB of combined waveform data, suggest a speed up by a factor of ~100. An exercise that would have otherwise taken in the order of three months can now be completed overnight. We expect similar, potentially improved, speedups for the more computationally intensive cross-correlation workflow. The short turnaround times of these workflows facilitate experimentation with enhanced algorithms for seismic data analysis.


to be advised


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