Applying Cluster Computing With Raspberry Pis to Numerical General Relativity
PúblicoConteúdo disponível para baixar
open in viewerCluster 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
- Última modificação
- 2023-09-28
Relações
- Em Collection:
Itens
Itens
Miniatura | Título | Acesso | Embargo Release Date | Ações |
---|---|---|---|---|
MQP_Paper.pdf | Público | Baixar | ||
WPI_Format_Final_PPT_Draft.pptx | Público | Baixar |
Permanent link to this page: https://digital.wpi.edu/show/s4655j201