Computational Infrastructure for Geodynamics
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2008-10-16 06:21 AM
Computational Infrastructure for Geodynamics (CIG) is a membership-governed organization that supports and promotes Earth science by developing and maintaining software for computational geophysics and related fields.
On behalf of its Member Institutions, CIG works under a Cooperative Agreement with the National Science Foundation to develop, support, and disseminate open-source software for the greater geodynamics community.
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We are currently working with software in several sub-disciplines, including mantle convection, short and long time-scale tectonics, computational seismology, and the geodynamo. Plans call for expanding into magma migration during the coming year. We invite you to take advantage of CIG for your research by using currently available software or participating in a workshop or training session. You can help set CIG’s agenda and priorities by working with your colleagues on the Science Steering Committee. Finally, feel free to contact the CIG staff for any help you need or concerns you may have.
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| Tinker time at Community Finite Element Models (CFEM) Workshop, Golden, CO (2006) |
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CIG consists of
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A coordinated effort to develop reusable, well-documented and open-source geodynamics software
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The basic building blocks — an infrastructure layer — of software by which state-of-the-art modeling codes can be quickly assembled
- Extension of existing software frameworks to interlink multiple codes and data through a superstructure layer
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 | | Presentation at CFEM Workshop in Golden, CO, June 2006 |
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- Strategic partnerships with the larger world of computational science and geoinformatics
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Specialized training and workshops for both the geodynamics
and larger Earth science communities
- Information sharing and discussion encouraged via the CIG website and a number of topic-specific, moderated mailing lists
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Participants in Oct 2006 Workshop on Challenges and Opportunities at the Interfaces of Scientific Computing and Computational Geodynamics and Computational Science Roundtable held at University of Texas at Austin. |
This website's content is based upon work supported by the National Science Foundation under Grant No. EAR-0406751. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.
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