MRI-R2: Acquisition of Data Analysis and Visualization Cyber-Infrastructure for Computational Science and Engineering Applications(DAVinCI)
MRI-R2: Acquisition of Data Analysis and Visualization Cyber-Infrastructure for Computational Science and Engineering Applications(DAVinCI)
批准号:
0959097
负责人:
Alan Levander
金额:
$292.89万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-05-01 至 2013-04-30
中文摘要
该奖项是根据2009年美国复苏和再投资法案(公法111-5)资助的。我们将收购并运营一个新的设施,即用于计算科学和工程应用的数据分析和可视化网络基础设施(DAVinCI),该设施将采用混合设计,集成高吞吐量串行和紧密耦合并行计算以及图形处理单元(更广为人知的是gpgpu)上的通用计算。DAVinCI是特殊的&;#64257;cally专为需要在大型数据集上快速I/O的大型计算而设计,并将集成存储和可视化,以支持广泛的数据密集型科学和工程应用。此外,我们将建立一个具有主动跟踪的3D立体可视化中心,用于分析大型模拟和数据集,以实现会人员吗?迫切需要快速查看和分析大型计算结果。DAVinCI将被研究人员用于解决广泛的科学和工程问题,包括地球、环境科学和能源研究、自然灾害和物理基础设施研究、生物科学和生物工程研究、物理学、空间物理学和天文学研究。DAVinCI还将为赖斯大学的高性能计算与国家资源(如TeraGrid)提供接口。机器和可视化中心将对整个莱斯社区及其当地和国家合作者开放。因此,它将促进社会科学和Rice及其他部门的定量研究。DAVinCI将加强对数百名理工科本科生、研究生和博士后的研究培训。它将直接影响所有学生的教育体验,因为高性能计算和计算问题解决被莱斯大学的教师纳入各级课程。DAVinCI将成为莱斯大学一些本科生研究项目的主要研究工具。也是许多从事国家科学基金会资助研究的本科生使用的重要工具。此外,来自美国国家科学基金会(NSF)赞助的莱斯研究生教育和教授联盟(AGEP)项目的不同群体的研究生和许多本科生,该项目旨在促进STEM中未被充分代表的少数民族的进步。埃尔兹,将会是我的朋友&;#64257;在训练中使用这些新的计算资源。一个特别的暑期计划,以熟悉学生的高性能计算和教计算问题解决技巧将被组织。这个强大的设备对新教师的可用性将进一步支持赖斯国家科学基金会的ADVANCE计划。美国正在努力为赖斯大学招募顶尖的理工科女教师。
英文摘要
This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5). We will acquire and operate a new facility, Data Analysis and Visualization Cyber-Infrastructure for Computational Science and Engineering Applications (DAVinCI), that will use hybrid a design that integrates high-throughput serial and tightly-coupled parallel computing as well as General-Purpose Computing on Graphics Processing Units (better known as GPGPUs). DAVinCI is specifically designed for large computations requiring fast I/O on large datasets and will integrate storage and visualization to support a wide array of data-intensive science and engineering applications. In addition, we will establish a center for 3D stereo visualization with active tracking for analysis of large simulations and datasets in order to fulfill researchers? critical need to rapidly view and analyze the results of large computations. DAVinCI will be used by researchers tackling a broad range of science and engineering problems including earth, environmental science and energy research, natural hazards and physical infrastructure research, bioscience and bioengineering research, and physics, space physics and astronomy research. DAVinCI will also serve to interface high-performance computing at Rice with national resources, such as TeraGrid. The machine and visualization center will be available to the entire Rice community and their local and national collaborators. It will therefore promote quantitative research in the social sciences and other divisions of Rice and beyond. DAVinCI will enhance the research training of hundreds of undergraduate and graduate students and post-doctoral fellows in science and engineering. It will directly impact the educational experience for all students as high-performance computing and computational problem solving are included by Rice faculty in courses at all levels. DAVinCI will be a primary research tool for some undergraduate research projects in Rice?s Century Scholars program, and also a critical tool used by the many undergraduates working on NSF funded research. Furthermore, a diverse group of graduate students as well as many undergraduate students from the NSF sponsored Rice Alliance for Graduate Education and the Professoriate (AGEP) program, established to promote the advancement of under-represented minorities in the STEM fields, will benefit from use of these new computational resources in their training. A special summer program to familiarize students with high- performance computing and to teach computational problem solving skills will be organized. The availability of this powerful facility to new faculty will further support the Rice NSF ADVANCE program?s efforts to recruit top women faculty to Rice in science and engineering.
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