High Performance Computing in GG Strengths, Challenges, Future Directions

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High Performance Computing in GGStrengths,
Challenges, Future Directions

• Processing/inverting increasingly large datasets
  for -imaging crustal mantle structure (Dunn,
  Moore, Wolfe)-locating/characterizing acoustic
  sources (Frazer, Duennebier ) -analyzing global
  altimetry/topography (Wessel)

• Simulating dynamical processes in expanding
  volumes, at finer resolution, with stronger
  heterogeneity-dynamics of mantle lithosphere
  (Ito, Conrad-probably)-crustal deformation
  faulting (Martel)-watershed processes
  contaminant transport (El-Kadi)

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Crustal structure beneath mid-ocean ridges Dunn
Conley
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Finding seamounts with global satellite altimetry
data Wessel Kim
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Mechanics of fissures on Big IslandMartel
Langley, Kaven
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Dynamics of Mantle LithosphereIto Bianco,
Mittelstaedt
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Dynamics of Mantle LithosphereIto Bianco,
Mittelstaedt
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Watershed processes contaminant transport
El-Kadi Cutler, Corley, Hughes, Lamptoc,
Perrault, Rotzoll, Whittier
Manoa Food Area
Hydrology Problems Involve-Strong
heterogeneity-Non-linearity of coupled
equations (e.g., contamination by petroleum
products)-Extreme conditions (rainfall events,
topography, etc)-Large range of scales
(point-measurements to watershed)-Numerical
solutions with fine (ltmeter) spatial time
resolution
Oahu water sources
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Community Code Development in Geodynamics
SOEST is a member institution
of

• Seismic Wave
• Propagation

Lithosphere dynamics
Core dynamics geodynamo
Mantle Convection
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Use of Resources of the Maui High Performance
Computer Center (MHPCC)
UH High Performance Computing Student Engagement
Grants (10-20K) GG Awardees E. Nosal 2004
(Frazer) T. Fedenczuk 2006 (Fryer) T. Bianco 2006
(Ito) S.-S. Kim 2007 (Wessel)
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GT High-Performance Computing Facilities