@inproceedings{c6bdbd4dcad7497c84bc8ce890add3b3,
title = "EGADSlite: A lightweight geometry kernel for HPC",
abstract = "As attention is focused upon the “time to solution”, it becomes obvious that the entire process must be taken into account – not just the cost and efficiency of the solver. Amdahl{\textquoteright}s Law tells us that any serial portion of the application will be the limiting factor in scalability. Therefore it does not matter how efficient a solver is if both the pre- and post-processing have not been given the same focus towards scalability. The most obvious way to insure that a scalable process exists is to view the process as an integrated whole and remove any serial portions. The work discussed in this paper makes geometry available in a parallel environment to support parallel mesh generation, solver-based grid adaptation, and the curving of linear meshes to support high(er) order spacial discretizations.",
author = "Robert Haimes and Dannenhoffer, {John F.}",
note = "Publisher Copyright: {\textcopyright} 2018, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.; AIAA Aerospace Sciences Meeting, 2018 ; Conference date: 08-01-2018 Through 12-01-2018",
year = "2018",
doi = "10.2514/6.2018-1401",
language = "English (US)",
isbn = "9781624105241",
series = "AIAA Aerospace Sciences Meeting, 2018",
publisher = "American Institute of Aeronautics and Astronautics Inc, AIAA",
booktitle = "AIAA Aerospace Sciences Meeting",
}