Applied Mathematics Colloquium

Tuesday, September 12, 2017
2:45 PM - 3:45 PM
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Craig Michoski
Institute for Computational Engineering and Sciences (ICES), University of Texas, Austin

"The Blended Isogeometric Discontinuous Galerkin Method in Exascale Computing"
Abstract: As computationally intensive areas like uncertainty quantification and machine learning become more popular, substantial demand emerges for numerical methods that efficiently solve complex problems. In this talk we introduce one such method called the Blended Isogeometric Discontinuous Galerkin (BIDG) method. The BIDG method offers several key capabilities that address some of these increased demands on computational models. First it offers the promise of direct, lossless, and automated coupling to, for example, computer aided designs (CAD) and geographic information systems (GIS), leading to rapidly prototyped and improved meshing. Next, BIDG preserves "exact," fully parameterized domain (and sub-feature) geometry while allowing for coarsening of meshes and grids, which leads to an efficient high-order accurate method. The BIDG method has been implemented for a number of application problems, and is being implemented with both a traditional MPI+X threading model and an asynchronous run-time system called High Performance parallelX (HPX), with early results on Intel Knights Landing chips.


Host: Prof. Kyle Mandli
Phone: 1-212-854-4485
Email: [email protected]
Event Contact Information:
Christina Rohm
212 854 1586
[email protected]
LOCATION:
  • Morningside
TYPE:
  • Lecture
CATEGORY:
  • Engineering
EVENTS OPEN TO:
  • Alumni
  • Faculty
  • Graduate Students
  • Postdocs
  • Prospective Students
  • Public
  • Staff
  • Students
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