Title :
Research Challenges for Visualization Software
Author :
Childs, Hank ; Geveci, B. ; Schroeder, W. ; Meredith, Jeremy ; Moreland, Kenneth ; Sewell, Christopher ; Kuhlen, Torsten ; Bethel, E. Wes
Abstract :
As the visualization research community reorients its software to address up-coming challenges, it must successfully deal with diverse processor architectures, distributed systems, various data sources, massive parallelism, multiple input and output devices, and interactivity.
Keywords :
data visualisation; distributed processing; distributed system; processor architecture; visualization software; Data handling; Data visualization; MIMO; Parallel processing; Software development; Visualization; big data; large data visualization; parallel visualization; virtual reality; visualization software;
DOI :
10.1109/MC.2013.179
