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DTSTAMP:20190719T085754Z
LOCATION:HG E 1.2
DTSTART;TZID=Europe/Stockholm:20190614T133000
DTEND;TZID=Europe/Stockholm:20190614T153000
UID:submissions.pasc-conference.org_PASC19_sess144@linklings.com
SUMMARY:MS52 - Large Scale Simulation in Geodynamics
DESCRIPTION:Minisymposium\nComputer Science and Applied Mathematics, Physi
 cs, Solid Earth Dynamics\n\nScalable and Extensible Software for Simulatin
 g Long Term Tectonic Processes\n\nMay, Sanan, Brown, le Pourhiet\n\nA long
  standing issue within the lithospheric deformation community has been the
  absence of a fast, flexible, scalable and extensible toolkit for studying
  long term tectonic (LTT) processes in three spatial dimensions. In this p
 resentation I will overview the open-source LTT software package pTatin3..
 .\n\n---------------------\nStagBL and StagYY: Developing Tools for Large-
 Scale Geodynamic Simulations Using Staggered-Grid Discretisation on Hybrid
  Architectures\n\nSanan, Tackley\n\nStagYY is a geodynamic simulation code
  developed and employed over the last decade, providing models of the evol
 ution of the entire mantle and lithosphere of Earth and other planets on m
 ulti-billion-year timescales. As the field advances, additional flexibilit
 y is required to leverage modern solvers...\n\n---------------------\nNonl
 inear Multi-Physics 3-D Solver: from CUDA C + MPI to Julia\n\nRäss, Omlin,
  Podladchikov\n\nWe present first results from a Julia port of a massively
  parallel Multi-GPU solver that is originally written in CUDA C using MPI.
  It resolves spontaneous nonlinear multi-physics flow localisation in 3-D.
  The solver's parallel, matrix-free design enables a short time to solutio
 n and its applicabili...\n\n---------------------\nParallel, Matrix-Free M
 ultigrid on Adaptive Meshes in ASPECT\n\nHeister, Clevenger\n\nWe present 
 recent developments in the community code ASPECT for simulating convection
  in the Earth's mantle. The governing equations are solved using the Finit
 e Element method on adaptively refined meshes, which allows us to resolve 
 features at high resolution, without intractable computational cost...\n
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