Date: 4/23/2021
Session Time: 2:00 PM to 3:15 PM Pacific
Applications and Technologies in Large-scale Seismic Analysis
The growth and maturation of technologies that make it easier to analyze large volumes of data has enabled new areas of research in seismology. Computational frameworks like Apache Spark and Dask augment existing tools like MPI. New programming languages like Julia and the emergence of new scalable analysis capabilities in languages like Java and Python supplement traditional languages like C and Fortran. Finally, new platforms like the commercial cloud offer alternatives to existing high performance computing platforms. Technologies like these increase accessibility to a new scale of inquiry, making large-scale research in seismology more tractable than ever before. In this session, we invite researchers and data providers to share work in data-hungry applications, approaches to large data collection, storage and access and experiences with processing platforms and architectures.
Conveners
Jonathan K. MacCarthy, Los Alamos National Laboratory (jkmacc@lanl.gov)
Chad Trabant, Incorporated Research Institutions for Seismology (chad@iris.washington.edu)
Oral Presentations
| Participant Role | Details | Start Time | Minutes | Action |
|---|---|---|---|---|
| Submission | The Influence of Geography and Geology in Seismic Background Noise Levels Across the United States as Revealed by the Transportable Array | 02:00 PM | 15 | View |
| Submission | Expanding Accessibility and Scalability of Ambient Noise Seismic Data Processing Tools Through an Open-Source Cloud-Based Software Application | 02:15 PM | 15 | View |
| Submission | Preparing (for) Seismic Data in the Cloud | 02:30 PM | 15 | View |
| Submission | Caltech/USGS Southern California Earthquake Data Available in the Amazon Cloud (AWS) | 02:45 PM | 15 | View |
| Submission | Developing a Next Generation Platform for Geophysical Data in the Cloud | 03:00 PM | 15 | View |
| Total: | 75 Minute(s) |
Applications and Technologies in Large-Scale Seismic Analysis
Description
Type: Oral
Date: 4/23/2021
Time: 2:00 PM to 3:15 PM Pacific