Efficient and Scalable Computations With Sparse Tensors
Muthu Manikandan Baskaran, Benoît Meister, Nicolas Vasilache, Richard Lethin
Publication Source: The IEEE High Performance Extreme Computing Conference (HPEC), Waltham, MA, USA, 2012
For applications that deal with large amounts of high dimensional multi-aspect data, it becomes natural to represent such data as tensors or multi-way arrays. Multi-linear algebraic computations such as tensor decompositions are performed for summarization and analysis of such data. Their use in real-world applications can span across domains such as signal processing, data mining, computer vision, and graph analysis.