ATTENTION: The works hosted here are being migrated to a new repository that will consolidate resources, improve discoverability, and better show UTA's research impact on the global community. We will update authors as the migration progresses. Please see MavMatrix for more information.
Show simple item record
dc.contributor.author | Akbariyeh, Ashkan | en_US |
dc.date.accessioned | 2012-07-25T19:09:40Z | |
dc.date.available | 2012-07-25T19:09:40Z | |
dc.date.issued | 2014-03-10 | |
dc.date.submitted | January 2012 | en_US |
dc.identifier.other | DISS-11734 | en_US |
dc.identifier.uri | http://hdl.handle.net/10106/11095 | |
dc.description.abstract | In the past years, graphic processing units have become a new abundant parallelcomputing resource on personal computers. In this work parallel computation ofa typical case in nite element analysis for solids has been practiced. The solutionof 3-D linear elastic static problems with 3 degree of freedom is fully implementedutilizing the current GPU technology. Discretization of the problem has been donefor two cases of: Tetrahedral and Hexahedral elements. Acceleration of the solutionhas been realized using SIMT parallel algorithms. Sparse matrix storage formats aswell as matrix-vector operations are investigated for optimum hardware utilization.preconditioned conjugate gradient method has been fully implemented on the GPUdevice as the iterative solver. FEA GPU implementation is compared with the correspondingoptimized serial version run on a conventional processor with the sametechnology for various mesh sizes, sparse matrix storage schemes, and choice of basis function. | en_US |
dc.description.sponsorship | Dennis, Brian | en_US |
dc.language.iso | en | en_US |
dc.publisher | Mechanical Engineering | en_US |
dc.title | Large Scale Finite Element Analysis Using GPU Parallel Computing | en_US |
dc.type | M.S. | en_US |
dc.contributor.committeeChair | Dennis, Brian | en_US |
dc.degree.department | Mechanical Engineering | en_US |
dc.degree.discipline | Mechanical Engineering | en_US |
dc.degree.grantor | University of Texas at Arlington | en_US |
dc.degree.level | masters | en_US |
dc.degree.name | M.S. | en_US |
Files in this item
- Name:
- Akbariyeh_uta_2502M_11734.pdf
- Size:
- 3.271Mb
- Format:
- PDF
This item appears in the following Collection(s)
Show simple item record