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(Extreme-Scale Parallel Mesh Generation)
(Extreme-Scale Parallel Mesh Generation)
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[[File: SubGroup1.jpg|thumb|right|500px| '''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. ''']]
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[[File: SubGroup1.jpg|thumb|right|500px| '''CRTC's sub-group for Extreme Scale Parallel Mesh Generation & Adaptation, 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 [https://cepm.cs.odu.edu/People#External_Collaborators 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.
 
We  have  assembled  a  team  of  established  leaders  (see [https://cepm.cs.odu.edu/People#External_Collaborators 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.
  

Revision as of 15:04, 8 October 2017

Extreme-Scale Parallel Mesh Generation

    CDT3D Mesh

    Rocket with Engine 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's sub-group for Extreme Scale Parallel Mesh Generation & Adaptation, 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