CC-NIE Network Infrastructure: Expanding Connectivity to Campus-Wide Resources for Computational Discovery

CC-NIE 网络基础设施：将连接扩展到校园范围内的计算发现资源

• 批准号: 1245488
• 负责人: Brian Noble
• 金额: $ 48.69万
• 依托单位: Regents of the University of Michigan - Ann Arbor
• 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: 2013-01-01 至 2015-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1245488&HistoricalAwards=false
• 关键词: CC; NIE; Network; Infrastructure; Expanding

The University of Michigan has a long history of collaborative computational resources supporting research and education. Such resources include high-performance computaitonal clusters, data storage and archival systems, and visualization resources. This project improves connectivity between these systems internally and between these systems and the University's collaborators in the US and around the globe. Resources with improved connectivity include Nyx, a shared-tenancy high performance cluster; Flux, a University-wide shared compute cluster; and the UM 3D Visulation Lab, an interdisciplinary service facility used in part for visual exploration of large scientific data sets.This project's support of improved network connectivity between these assets and the broader Internet supports a broad swath of computationally-enabled scientific explorations, including the following examples. Atmospheric, Oceanic, and Space Sciences faculty at Michigan are using Flux and the UM3D lab to explore climate change. Chemical Engineering faculty at Michgian are using Nyx and the UM3D Lab to develop "designer structures" at the molecular level. Physics faculty at Michigan and elsewhere will be better able to explore cosmological impacts of dark matter, as well as delve into the fundamental partical physics with data from the Large Hadron Collider in Geneva. In addition to these fundamental scientific advances, the infrastructure improvements also play a role in the training of undergraduate and graduate students across the University and beyond, through distance learning efforts, in fieldsfrom planetary weather through computational science as a discipline unto itself.

密歇根大学拥有支持研究和教育的协作计算资源的悠久历史。 这样的资源包括高性能计算集群，数据存储和档案系统以及可视化资源。 该项目在内部以及这些系统与大学的合作者之间以及全球的合作者之间提高了这些系统之间的连通性。 具有改善连接性的资源包括NYX，一个共享租赁高性能集群； Flux，一个大学范围的共享计算集群；以及UM 3D Vistulation Lab是一种跨学科服务设施，部分用于视觉探索大型科学数据集。该项目支持这些资产和更广泛的Internet之间的改善网络连通性支持广泛支持计算的科学探索，包括以下示例。 密歇根州的大气，海洋和太空科学教师正在使用Flux和UM3D实验室来探索气候变化。 密歇根州的化学工程学院正在使用NYX和UM3D实验室在分子水平上开发“设计师结构”。 密歇根州和其他地方的物理教师将更好地探索暗物质的宇宙学影响，并通过来自日内瓦大型强子撞机的数据深入研究基本的部分物理学。 除了这些基本的科学进步外，基础设施的改进还可以在整个大学和远程学习的本科生和研究生的培训中发挥作用，通过远程学习工作，从地球天气中通过计算科学作为纪律本身的田野。