Research Infrastructure: Data-Intensive Computing for Spatial Models

EIA-9972879 Chase，Jeffrey S.Agarwal，PankajArge，LarsLebeck，AlvinLittman，MichaelDuke大学研究基础设施：空间模型的数据密集型计算Duke大学的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、存储器系统架构（主、高速缓存和磁盘）、网络I/O和移动的/无线计算。 该研究的应用包括计算科学，GIS应用，3D建模和可视化，分子建模。 对于无线和移动的计算，将解决异构设备的代码转换和电源管理问题。 作为推广的组成部分，杜克将与玛莎Absher，总统奖的卓越，谁协调工程活动的大学，以招募和留住少数民族学生;他们的活动将集中在扩大REU的机会;他们还将与北卡罗来纳州中央大学，也在罗利，在计算科学合作。

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.