Major advancements in computational and sensor hardware have enormously facilitated the generation and collection of research data by scientists; the volume, velocity, and variety of big data research have increased across all disciplines. A visual analytics platform capable of handling extreme-scale data will enable scientists to visualize unwieldy data in an intuitive manner and guide the development of sophisticated and targeted analytics to obtain useable information. The reconfigurable Visual Computing Architecture (VCA) is an attempt to provide scientists with the ability to analyze the extreme-scale data collected. The reconfigurable VCA requires the research and development of new interdisciplinary technological tools that integrate data, real-time predictive analytics, visualization, and acceleration on heterogeneous computing platforms. The reconfigurable VCA will provide scientists with a streamlined visual analytics tool.
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