Scalable Visualization and Interactive Analysis Using Massive Data Streams
Valerio Pascucci, Peer‐Timo Bremer, Attila G. Gyulassy, Giorgio Scorzelli, Cameron Christensen, Brian Summa, Kumar Sidharth · Advances in parallel computing · 2013
Historically, data creation and storage has always out paced the infrastructure for its movement and utilization. This trend is increasing now more than ever, with the ever growing size of scientific simulations, increased resolution of sensors, and large mosaic images. Effective exploration of massive scientific models demands the combination of data management, analysis, and visualization techniques, working together in an interactive setting. The ViSUS application framework has been designed as an environment that allows the interactive exploration and analysis of massive scientific models in a cache-oblivious, hardware-agnostic manner, enabling processing and visualization of possibly geographically distributed data using many kinds of devices and platforms.