Applying Cluster Computing With Raspberry Pis to Numerical General Relativity
PublicCluster 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.
- Creator
- Publisher
- Identifier
- E-project-042518-143823
- Advisor
- Year
- 2018
- Date created
- 2018-04-25
- Resource type
- Major
- Rights statement
- Last modified
- 2023-09-28
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- In Collection:
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MQP_Paper.pdf | Public | Download | |
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WPI_Format_Final_PPT_Draft.pptx | Public | Download |
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