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University of Tennessee at Chattanooga

Advances in parallel overset domain asembly

Abstract

dc:description.abstract

The CFD (Computational Fluid Dynamics) community has long used the Overset Grid method to enable dynamic simulations with bodies in relative motion. In Overset simulations, information is transferred between overlapping grids via interpolation. Domain Assembly is the process that governs the location of intergrid boundaries and how the solution is interpolated across grids at those boundaries. Performing Domain Assembly in a distributed environment is computationally expensive and inherently poorly load balanced due to the solver partitioning. Dynamic load balancing is therefore required to alleviate the imbalance and make very large Overset problems feasible. In this work, a radically different parallel domain assembly method is introduced. The new method takes a fundamentally different approach to load balancing, concurrency, and communication patterns. A detailed discussion is provided that describes the method's implementation in YOGA (Yoga is an Overset Grid Assembler). Finally, several case studies are analyzed and preliminary performance and scaling results are provided.

Degree

thesis:*
Grantor dc:publisher
University of Tennessee at Chattanooga

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Druyor, Cameron T., Jr.
Contributors dc:contributor
  • Karman, Steve L., Jr.
  • Newman, James C. III; Jones, William T.; Tanis, Craig R.
  • College of Engineering and Computer Science

Subjects

dc:subject × 1

Rights

dc:rights
Language dc:language
English, eng

Identifiers

dc:identifier.*
Repository record dc:identifier
https://scholar.utc.edu/theses/475
OAI identifier oai:identifier
oai:scholar.utc.edu:theses-1615

Chain of custody

source
Harvested from
University of Tennessee - Chattanooga
Base URL
scholar.utc.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Druyor, Cameron T., Jr.. Advances in parallel overset domain asembly. University of Tennessee at Chattanooga, https://scholar.utc.edu/theses/475