282 citations · 955 across the 31 of their papers we have counts for
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Shared Memory Parallelization of MTTKRP for Dense Tensors
Koby Hayashi, Grey Ballard, Jeffrey Jiang +1
The matricized-tensor times Khatri-Rao product (MTTKRP) is the computational bottleneck for algorithms computing CP decompositions of tensors. In this paper, we develop shared-memo…
Communication Lower Bounds for Matricized Tensor Times Khatri-Rao Product
Grey Ballard, Nicholas Knight, Kathryn Rouse
The matricized-tensor times Khatri-Rao product computation is the typical bottleneck in algorithms for computing a CP decomposition of a tensor. In order to develop high performanc…
A Practical Randomized CP Tensor Decomposition
Casey Battaglino, Grey Ballard, Tamara G. Kolda
The CANDECOMP/PARAFAC (CP) decomposition is a leading method for the analysis of multiway data. The standard alternating least squares algorithm for the CP decomposition (CP-ALS) i…