Research Infrastructure: Data-Intensive Computing for Spatial Models

chase, Jeffrey S.Agarwal, PankajArge, LarsLebeck, AlvinLittman， michael杜克大学研究基础设施：空间模型的数据密集型计算杜克大学研究人员将对数据密集型系统的位置管理进行研究；局部性问题包括促进局部性的算法和工具包、快速和预测性数据放置、内存系统体系结构（主、缓存和磁盘）、网络I/O和移动/无线计算。研究的应用包括计算科学、地理信息系统应用、三维建模和可视化、分子建模。对于无线和移动计算，将讨论异构设备的转码和电源管理。作为一项拓展工作，杜克大学将与总统卓越奖获得者玛莎·阿布谢尔（Martha Absher）合作，她负责协调工程学院招收和留住少数族裔学生的活动；它们的活动将集中于扩大REU机会；他们还将与同样位于罗利的北卡罗来纳中央大学（North Carolina Central University）在计算科学方面进行合作。

EIA-9972879Chase, Jeffrey S.Agarwal, PankajArge, LarsLebeck, AlvinLittman, MichaelDuke UniversityResearch Infrastructure: Data-Intensive Computing for Spatial ModelsDuke University researchers will conduct research on locality management for data intensive systems; locality issues include algorithms and toolkits to promote locality, fast and predictive data placement, memory system architectures (main, cache, and disk), network I/O, and mobile/wireless computing. Applications for the research include computational sciences, GIS applications, 3D modeling and visualization, molecular modeling. For wireless and mobile computing, transcoding for heterogeneous devices and power management will be addressed. As an outreach component, Duke will work with Martha Absher, a Presidential Awardee for Excellence, who coordinates College of Engineering activities to recruit and retain minority students; their activities will center on expanding REU opportunities; they will also collaborate with North Carolina Central University, also in Raleigh, in computational science.