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
|Commitee:||Banerjee, Nilanjan, Nicholas, Charles|
|School:||University of Maryland, Baltimore County|
|School Location:||United States -- Maryland|
|Source:||MAI 57/04M(E), Masters Abstracts International|
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