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Reconfigurable Visual Computing Architecture for Extreme-Scale Visual Analytics

机译:可重构的视觉计算架构,用于超大规模视觉分析

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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 'Research' Data has 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. Reconfigurable Visual Computing Architecture is an attempt to provide scientists with the ability to analyze the extreme-scale data collected. Reconfigurable Visual Computing Architecture requires the research and development of new interdisciplinary technological tools that integrate data, realtime predictive analytics, visualization, and acceleration on heterogeneous computing platforms. Reconfigurable Visual Computing Architecture will provide scientists with a streamlined visual analytics tool.
机译:计算和传感器硬件的重大进步极大地促进了科学家生成和收集研究数据的能力–大“研究”数据的数量,速度和种类在所有学科中都在增加。一个能够处理极端规模数据的可视化分析平台将使科学家能够以直观的方式可视化笨拙的数据,并指导开发复杂而有针对性的分析以获取可用信息。可重配置的视觉计算体系结构是一种尝试,旨在为科学家提供分析收集到的超大规模数据的能力。可重配置的视觉计算体系结构需要研究和开发新的跨学科技术工具,这些工具需要在异构计算平台上集成数据,实时预测分析,可视化和加速。可重新配置的视觉计算架构将为科学家提供简化的视觉分析工具。

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