CC-NIE Networking Infrastructure: High Performance Science Network (HPSNet) at Northwestern University

CC-NIE 网络基础设施：西北大学高性能科学网络 (HPSNet)

• 批准号: 1341013
• 负责人: Joseph Walsh
• 金额: $ 49.97万
• 依托单位: Northwestern University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-10-01 至 2016-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1341013&HistoricalAwards=false
• 关键词: CC; NIE; Networking; Infrastructure; Performance

The Northwestern University High Performance Data Network (HPDNet) supports data intensive scientific research by providing high performance interconnects among select research laboratories, teaching environments, and instrumentation facilities on and between the two primary campuses of Northwestern University, thereby enhancing research capabilities and significantly expanding opportunities for interdisciplinary research. The research projects directly impacted by this network include:* Computational Chemistry: enabled visualization of terabyte-sized datasets aimed at understanding how DNA structures and mechanical properties influence binding to proteins.* Chemical Engineering: transfer of large datasets to analytical facilities used to explore reduction of automotive emissions, development of fuel cells, and green chemistry processes. * Theoretical Chemistry: movement of large datasets between the campus and national facilities used in the exploration of charge transfer in molecular systems.* High-Energy Physics: Accelerated the movement and analysis of multi-terabyte datasets being generated as part of the Higgs Boson discovery project* Nanoscale Science: transfer of large-scale 3-dimensional optical imaging of nanoparticles in cells, which allows the ability to monitor intracellular movement, to computer clusters for analysis.This network has direct impact on the undergraduate and graduate research and training capabilities in the departments and labs represented by these projects, broadening access to internal and external research resources through interconnects among multiple regional, national and international facilities.The network is implemented as a long term resource within a wider science networking strategic plan targeted towards enhancing scientific research, teaching and collaboration with an emphasis on enhancing venues for hands-on participation in scientific researcher by undergraduate students.

西北大学高性能数据网络（HPDNet）通过在西北大学的两个主要校区之间的选定研究实验室，教学环境和仪器设施之间提供高性能互连来支持数据密集型科学研究，从而提高研究能力并显着扩大跨学科研究的机会。 受该网络直接影响的研究项目包括：* 计算化学：实现TB级数据集的可视化，旨在了解DNA结构和机械特性如何影响与蛋白质的结合。化学工程：将大型数据集转移到用于探索减少汽车排放、开发燃料电池和绿色化学过程的分析设施。* 理论化学：在校园和国家设施之间移动大型数据集，用于探索分子系统中的电荷转移。高能物理：加速了希格斯玻色子发现项目中生成的数TB数据集的移动和分析 * 纳米科学：转移细胞中纳米颗粒的大规模三维光学成像，这使得能够监测细胞内运动，该网络对本科生和研究生的研究和部门和实验室的培训能力有直接影响，该网络作为一个长期资源，在一个更广泛的科学网络战略计划内实施，旨在加强科学研究、教学和合作，重点是加强本科生动手参与科学研究的场所。