Randomized Functional Sparse Tucker Tensor for Compression and Fast Visualization of Scientific Data

Understand

We propose a strategy to compress and store large volumes of scientific data represented on unstructured grids.

• Approaches utilizing tensor decompositions for data compression have already been proposed.
• Here, data on a structured grid is stored as a tensor which is then subjected to appropriate decomposition in suitable tensor formats.
• Such decompositions are based on generalization of singular value decomposition to tensors and capture essential features in the data with storage cost lower by orders of magnitude.