Efficiently Computing Tensor Eigenvalues on a GPU

Grey Ballard, Tamara Kolda, Todd Plantenga
2011 2011 IEEE International Symposium on Parallel and Distributed Processing Workshops and Phd Forum  
The tensor eigenproblem has many important applications, and both mathematical and application-specific communities have taken recent interest in the properties of tensor eigenpairs as well as methods for computing them. In particular, Kolda and Mayo [3] present a generalization of the matrix power method for symmetric tensors. We focus in this work on efficient implementation of their algorithm, known as the shifted symmetric higher-order power method, and on how a GPU can be used to
more » ... the computation for an application involving many small tensor eigenproblems.
doi:10.1109/ipdps.2011.287 dblp:conf/ipps/BallardKP11 fatcat:fx25hkyq7fbuxpbonouy4jrkt4