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(Extreme-Scale Parallel Mesh Generation)
(Extreme-Scale Parallel Mesh Generation)
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[[File:CDT3D.jpg|220px|CDT3D Mesh]]
 
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[[File:High-lift.jpg|220px|High-Lift Airbus Configuration]]
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[[File:Rocket_Mesh.jpg|220px|Rocket with Engine Mesh]]
 
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[[File:Output_grid.jpg|220px|Output Grid Mesh]]
 
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|'''CDT3D Mesh''' || '''High-Lift Airbus Configuration''' || '''Rocket with Engine'''
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|'''CDT3D Mesh''' || '''Rocket with Engine Mesh''' || '''Aircraft Mesh'''|| '''Output Grid Mesh'''
 
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Revision as of 22:39, 7 October 2017

Extreme-Scale Parallel Mesh Generation

    CDT3D Mesh

    Rocket with Engine Mesh

    Aircraft Mesh

    Output Grid Mesh

    CDT3D Mesh Rocket with Engine Mesh Aircraft Mesh Output Grid Mesh

Overview

Finite Element Mesh Generation is a critical component for many (bio-) engineering and science applications. The goal of this project is to deliver a novel Telescopic framework for highly scalable and energy efficient codes. Domain-and application-specific knowledge and run-time system support are combined to improve accuracy of FE computations.

  • CRTC Research Sub-Group for Extreme Scale Parallel Mesh Generation, from left to right: Nikos Chrisochoides, Kevin Garner, Dana Hammond (TM from NASA/LaRC), Christos Tsolakis and Polykarpos Thomadakis.

    We have assembled a team of established leaders (see External Collaborators) that are currently developing state-of-the-art work on mesh generation and adaptivity issues relevant to NASA’s CFD 2030 Vision and will broadly impact end-user productivity of users throughout DoD and NASA.

    Objectives

    1. Design a multi-layered algorithmic and software framework for 3D tetrahedral anisotropic parallel mesh generation methods using state-of-the-art functionality supported by methods implemented in AFLR and CRTC’s telescopic approach for parallel mesh generation.
    2. Development of error-based metrics to drive an anisotropic adaptive process
    3. Design a power-aware parallel runtime software system for extreme-scale adaptive CFD computations including: (i) mesh generation & adaptation, and (ii) consistent error-based metrics for adaptation of any CFD discretization with localizable error estimates.
  • Medical Image Computing

    Computer Aided Personalized Education