The path to and state of geometry and meshing in 2030: Panel summary

John R. Chawner, John Francis Dannenhoffer, Saikat Dey, Hugh Thornburg, William T. Jones, Jeffrey Slotnick, Nigel J. Taylor

Research output: Chapter in Book/Entry/PoemConference contribution

10 Scopus citations


Current and emerging trends in High Performance Computing (HPC) are providing transformational capabilities for simulation-based research and development and simulation-based design. Numerous efforts are underway to provide exascale systems in the next decades. HPC architectures are rapidly evolving and the tools and methods need to keep pace with both the scale and the evolving hardware architecture. Emerging HPC capabilities provide potential for simulation of increasingly complex, multi-scale and multi- disciplinary applications for discovery, design and evaluation of aerospace systems. The computational mesh, along with the geometry that it represents, has a considerable impact on the quality, stability, and amount of resources required to complete numerical simulations. Extreme-scale environments require increased levels of process automation and reliability not currently available in state-of-the-art mesh generation tools. These shortcomings make geometry modeling and mesh generation a pacing bottleneck for the future. The paper will summarize the panel discussion that was held at AIAA’s 2015 SciTech Conference in which the path for geometry and mesh generation as a supporting element of the NASA CFD 2030 Vision was discussed.

Original languageEnglish (US)
Title of host publication22nd AIAA Computational Fluid Dynamics Conference
PublisherAmerican Institute of Aeronautics and Astronautics Inc, AIAA
ISBN (Print)9781624103667
StatePublished - 2015
Event22nd AIAA Computational Fluid Dynamics Conference, 2015 - Dallas, United States
Duration: Jun 22 2015Jun 26 2015


Other22nd AIAA Computational Fluid Dynamics Conference, 2015
Country/TerritoryUnited States

ASJC Scopus subject areas

  • Fluid Flow and Transfer Processes
  • Mechanical Engineering


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