title: DIVE: a graph-based visual-analytics framework for big data.
abstract: The need for data-centric scientific tools is growing; domains such as biology, chemistry, and physics are increasingly adopting computational approaches. So, scientists must deal with the challenges of big data. To address these challenges, researchers built a visual-analytics platform named DIVE (Data Intensive Visualization Engine). DIVE is a data-agnostic, ontologically expressive software framework that can stream large datasets at interactive speeds. In particular, DIVE makes novel contributions to structured-data-model manipulation and high-throughput streaming of large, structured datasets.
authors.forename: Steven J
authors.initials: SJ
authors.lastname: Rysavy
authors.forename: Dennis
authors.initials: D
authors.lastname: Bromley
authors.forename: Valerie
authors.initials: V
authors.lastname: Daggett
mesh_terms: D019295:Computational Biology / Q000379:methods*; D003196:Computer Graphics; D056004:Molecular Dynamics Simulation; D012984:Software; D014584:User-Computer Interface