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Visualization and Analysis for Near-Real-Time Decision Making in Distributed Workflows
2016
2016 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)
Data driven science is becoming increasingly more common, complex, and is placing tremendous stresses on visualization and analysis frameworks. Data sources producing 10GB per second and more, are becoming increasingly commonplace in both simulation, sensor and experimental sciences. These data sources, which are typically distributed around the world, must be analyzed by teams of scientists that are also distributed. Enabling scientists to view, query and interact with such large volumes of
doi:10.1109/ipdpsw.2016.175
dblp:conf/ipps/PugmireKCKKCWEC16
fatcat:yhdy6d4s6zap3b2klenwbzqlz4