Jonathan Cai, Muthu Baskaran, Benoît Meister, Richard Lethin
Publication Source: The IEEE Conference on High Performance Extreme Computing (HPEC), Waltham, MA, USA, 2015
For applications that deal with large amounts of high dimensional multi-aspect data, it is natural to represent such data as tensors or multi-way arrays. Tensor computations, such as tensor decompositions, are increasingly being used to extract and explain properties of such data. An important class of tensors is the symmetric tensor, which shows up in real-world applications such as signal processing, biomedical engineering, and data analysis.