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Investigations into Parallelizing Rank-One Tensor Decompositions
by Morgan, William Russell, IV, M.S., University of Maryland, Baltimore County, 2017, 78; 10683240
Abstract (Summary)
Tensor Decompositions are a solved problem in terms of evaluating for a result. Performance, however, is not. There are several projects to parallelize tensor decompositions, using a variety of different methods. This work focuses on investigating other possible strategies for parallelization of rank-one tensor decompositions, measuring performance across a variety of tensor sizes, and reporting the best avenues to continue investigation
| Advisor: | Marron, Christopher |
| Commitee: | Banerjee, Nilanjan, Nicholas, Charles |
| School: | University of Maryland, Baltimore County |
| Department: | Computer Science |
| School Location: | United States -- Maryland |
| Source: | MAI 57/04M(E), Masters Abstracts International |
| Source Type: | DISSERTATION |
| Subjects: | Computer science |
| Keywords: | |
| Publication Number: | 10683240 |
| ISBN: | 978-0-355-67415-6 |
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