WFU Physics Colloquium

TITLE: Parallel Multiway Data Compression using the Tucker Decomposition

SPEAKER: Professor Grey Ballard,

TIME: Wednesday February 22, 2017 at 4:00 PM

PLACE: Room 101 Olin Physical Laboratory

Scientists are drowning in data. The scientific data produced by high-fidelity simulations and high-precision experiments are far too massive to store long term. The unwieldy nature of the data makes it difficult to analyze or to retain for future analysis or comparison. Data compression is a necessity, but there are surprisingly few options available for scientific data. This talk will focus on novel ways to effectively tackle this challenge. We use a generalization of the singular value decomposition for multiway data called the Tucker decomposition.