University of Illinois Urbana-Champaign

Acceleration of algorithm for finding optimal control variables for microstructure evolution via parallelism

Park, Andrew

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https://hdl.handle.net/2142/120323

Description

Title
Acceleration of algorithm for finding optimal control variables for microstructure evolution via parallelism
Author(s)
Park, Andrew
Issue Date
2023-04-27
Director of Research (if dissertation) or Advisor (if thesis)
Rauchwerger, Lawrence
Department of Study
Computer Science
Discipline
Computer Science
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
M.S.
Degree Level
Thesis
Keyword(s)
  • Parallel computing
  • Parallel algorithms
Abstract
This thesis considers techniques for parallelizing the discovery of optimal control of microstructures. Microstructure, the arrangement of different phases in a material, governs many of the material's properties. The development of microstructure over time can be modeled by a set of partial differential equations based on the Phase Field model. Due to the high degree of freedom of this model, applying control theory directly is intractable. However, there has been recent research that greatly reduces the complexity of the model while still producing a solution that's close to the the one given by the full-order model. This work seeks to expand on the research to develop an efficient and highly scalable version of the given algorithm.
Graduation Semester
2023-05
Type of Resource
Thesis
Copyright and License Information
© 2023 Andrew Park

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Graduate Theses and Dissertations at Illinois