HR: 0800h
AN: SF41A-0761    [Abstracts]
TI: High speed networking and large-scale simulation in geodynamics
AU: * Kuang, W
EM: Weijia.Kuang-1@nasa.gov
AF: Space Geodesy Branch, NASA GSFC, Greenbelt, MD 20771 United States
AU: Gary, P
EM: James.P.Gary@gsfc.nasa.gov
AF: Earth and Space Data Computing Division, NASA GSFC, Greenbelt, MD 20771 United States
AU: Seablom, M
EM: Michael.S.Seablom@nasa.gov
AF: Earth and Space Data Computing Division, NASA GSFC, Greenbelt, MD 20771 United States
AU: Truszkowski, W
EM: Walt.Truszkowski@nasa.gov
AF: Advanced Architectures and Automating Branch, NASA GSFC, Greenbelt, MD 20771 United States
AU: Odubiyi, J
EM: jodubiyi@att.net
AF: Dept. Comp. Sci., Bowie State University, Bowie, MD 20715 United States
AU: Jiang, W
EM: jiang@bowie.gsfc.nasa.gov
AF: JCET, UMBC, Baltimore, MD 21250 United States
AU: Liu, D
EM: dliu@bowie.gsfc.nasa.gov
AF: JCET, UMBC, Baltimore, MD 21250 United States
AB: Large-scale numerical simulation has been one of the most important approaches for understanding global geodynamical processes. In this approach, peta-scale floating point operations (pflops) are often required to carry out a single physically-meaningful numerical experiment. For example, to model convective flow in the Earth's core and generation of the geomagnetic field (geodynamo), simulation for one magnetic free-decay time (approximately 15000 years) with a modest resolution of 150 in three spatial dimensions would require approximately 0.2 pflops. If such a numerical model is used to predict geomagnetic secular variation over decades and longer, with e.g. an ensemble Kalman filter assimilation approach, approximately 30 (and perhaps more) independent simulations of similar scales would be needed for one data assimilation analysis. Obviously, such a simulation would require an enormous computing resource that exceeds the capacity of a single facility currently available at our disposal. One solution is to utilize a very fast network (e.g. 10Gb optical networks) and available middleware (e.g. Globus Toolkit) to allocate available but often heterogeneous resources for such large-scale computing efforts. At NASA GSFC, we are experimenting with such an approach by networking several clusters for geomagnetic data assimilation research. We shall present our initial testing results in the meeting.
UR: http://mosst.gsfc.nasa.gov
DE: 9810 New fields (not classifiable under other headings)
DE: 3210 Modeling
DE: 3230 Numerical solutions
DE: 1507 Core processes (8115)
DE: 1510 Dynamo theories
SC: Special Focus: Advances in Data Acquisition, Management, Analysis and Display [SF]
MN: 2004 AGU Fall Meeting