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Applying Cluster Computing With Raspberry Pis to Numerical General Relativity

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Cluster computing is an emerging field with an immense amount of applications in parallel processing and low-budget computer builds with a need for large amounts of processing power. Problems in numerical relativity often have complex computations and solutions that lend themselves to being very easily put into a parallel format. The practicality of combining the two is explored in this paper. Specifically, this paper discusses the benefits that cluster computing provides when assessing potential formulation of Kerr black-holes. Also, it asses potential applications in simulating gravitational waves. Both applications serve to demonstrate the benefits that cluster computing may offer to numerical relativity for more specific/advanced use.

  • This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.
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Identifier
  • E-project-042518-143823
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Year
  • 2018
Date created
  • 2018-04-25
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Last modified
  • 2023-09-28

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