We present streaming CP update, an algorithmic framework for updating CP tensor decompositions that possesses the capability of identifying emerging components and can produce decompositions of large, sparse tensors streaming along multiple modes at a low computational cost. We discuss a large-scale implementation of the proposed scheme integrated within the ENSIGN tensor analysis package, and we evaluate and demonstrate the performance of the framework, in terms of computational efficiency and capability to discover emerging components, on a real cyber dataset.
13 Jan 2021
Source: 11th International Workshop on Polyhedral Compilation Techniques (I...
We present an approach to enhancing the optimization process in a polyhedral compiler by introducing compile-time versioning, i.e., the production…