EGADSlite: A lightweight geometry kernel for HPC

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations

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’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.

Original languageEnglish (US)
Title of host publicationAIAA Aerospace Sciences Meeting
PublisherAmerican Institute of Aeronautics and Astronautics Inc, AIAA
Edition210059
ISBN (Print)9781624105241
DOIs
StatePublished - Jan 1 2018
EventAIAA Aerospace Sciences Meeting, 2018 - Kissimmee, United States
Duration: Jan 8 2018Jan 12 2018

Other

OtherAIAA Aerospace Sciences Meeting, 2018
CountryUnited States
CityKissimmee
Period1/8/181/12/18

ASJC Scopus subject areas

  • Aerospace Engineering

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    Haimes, R., & Dannenhoffer, J. F. (2018). EGADSlite: A lightweight geometry kernel for HPC. In AIAA Aerospace Sciences Meeting (210059 ed.). American Institute of Aeronautics and Astronautics Inc, AIAA. https://doi.org/10.2514/6.2018-1401