Research Challenges for Visualization Software

Hank Childs, Berk Geveci, Will Schroeder, Jeremy Meredith, Kenneth Moreland, Christopher Sewell, Torsten Wolfgang Kuhlen
Computer (2013)

Over the last twenty-five years, visualization software has evolved into robust frameworks that can be used for research projects, rapid prototype development, or as the basis of richly featured, end-user tools. In this article, new take stock of current capabilities and describe upcoming challenges facing visualization software in six categories: massive parallelization, emerging processor architectures, application architecture and data management,data models, rendering, and interaction. Further, for each of these categories, we describe evolutionary advances sufficient to meet the visualization software challenge, and posit areas in which revolutionary advances are required

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