Evaluation of parallel direct sparse linear solvers in electromagnetic geophysical problems
High performance computing is absolutely necessary for large-scale geophysical simulations. In order to obtain a realistic image of a geologically complex area, industrial surveys collect vast amounts of data making the computational cost extremely high for the subsequent simulations. A major comput...
| Main Authors: | , , |
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| Format: | Journal Article |
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Elsevier
2016
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| Online Access: | http://hdl.handle.net/20.500.11937/9412 |
| _version_ | 1848745942993338368 |
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| author | Puzyrev, Volodymyr Koric, S. Wilkin, S. |
| author_facet | Puzyrev, Volodymyr Koric, S. Wilkin, S. |
| author_sort | Puzyrev, Volodymyr |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | High performance computing is absolutely necessary for large-scale geophysical simulations. In order to obtain a realistic image of a geologically complex area, industrial surveys collect vast amounts of data making the computational cost extremely high for the subsequent simulations. A major computational bottleneck of modeling and inversion algorithms is solving the large sparse systems of linear ill-conditioned equations in complex domains with multiple right hand sides. Recently, parallel direct solvers have been successfully applied to multi-source seismic and electromagnetic problems. These methods are robust and exhibit good performance, but often require large amounts of memory and have limited scalability. In this paper, we evaluate modern direct solvers on large-scale modeling examples that previously were considered unachievable with these methods. Performance and scalability tests utilizing up to 65,536 cores on the Blue Waters supercomputer clearly illustrate the robustness, efficiency and competitiveness of direct solvers compared to iterative techniques. Wide use of direct methods utilizing modern parallel architectures will allow modeling tools to accurately support multi-source surveys and 3D data acquisition geometries, thus promoting a more efficient use of the electromagnetic methods in geophysics. |
| first_indexed | 2025-11-14T06:25:23Z |
| format | Journal Article |
| id | curtin-20.500.11937-9412 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T06:25:23Z |
| publishDate | 2016 |
| publisher | Elsevier |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-94122017-09-13T14:49:27Z Evaluation of parallel direct sparse linear solvers in electromagnetic geophysical problems Puzyrev, Volodymyr Koric, S. Wilkin, S. High performance computing is absolutely necessary for large-scale geophysical simulations. In order to obtain a realistic image of a geologically complex area, industrial surveys collect vast amounts of data making the computational cost extremely high for the subsequent simulations. A major computational bottleneck of modeling and inversion algorithms is solving the large sparse systems of linear ill-conditioned equations in complex domains with multiple right hand sides. Recently, parallel direct solvers have been successfully applied to multi-source seismic and electromagnetic problems. These methods are robust and exhibit good performance, but often require large amounts of memory and have limited scalability. In this paper, we evaluate modern direct solvers on large-scale modeling examples that previously were considered unachievable with these methods. Performance and scalability tests utilizing up to 65,536 cores on the Blue Waters supercomputer clearly illustrate the robustness, efficiency and competitiveness of direct solvers compared to iterative techniques. Wide use of direct methods utilizing modern parallel architectures will allow modeling tools to accurately support multi-source surveys and 3D data acquisition geometries, thus promoting a more efficient use of the electromagnetic methods in geophysics. 2016 Journal Article http://hdl.handle.net/20.500.11937/9412 10.1016/j.cageo.2016.01.009 Elsevier restricted |
| spellingShingle | Puzyrev, Volodymyr Koric, S. Wilkin, S. Evaluation of parallel direct sparse linear solvers in electromagnetic geophysical problems |
| title | Evaluation of parallel direct sparse linear solvers in electromagnetic geophysical problems |
| title_full | Evaluation of parallel direct sparse linear solvers in electromagnetic geophysical problems |
| title_fullStr | Evaluation of parallel direct sparse linear solvers in electromagnetic geophysical problems |
| title_full_unstemmed | Evaluation of parallel direct sparse linear solvers in electromagnetic geophysical problems |
| title_short | Evaluation of parallel direct sparse linear solvers in electromagnetic geophysical problems |
| title_sort | evaluation of parallel direct sparse linear solvers in electromagnetic geophysical problems |
| url | http://hdl.handle.net/20.500.11937/9412 |