MRI-R2: Acquisition of Data Analysis and Visualization Cyber-Infrastructure for Computational Science and Engineering Applications(DAVinCI)

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。我们将收购和运营一个新的设施，数据分析和可视化计算科学和工程应用网络基础设施（DAVinCI），该设施将使用混合设计，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（更好地称为GPGPU）上的通用计算。 DAVinCI是Speci& #64257;专为需要在大型数据集上进行快速I/O的大型计算而设计，并将集成存储和可视化，以支持各种数据密集型科学和工程应用。 此外，我们将建立一个中心的三维立体可视化与主动跟踪分析的大型模拟和数据集，以充分#64257;所有的研究人员？快速查看和分析大型计算结果的迫切需要。 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，以及物理学，空间物理学和天文学研究。DAVinCI还将用于将Rice的高性能计算与TeraGrid等国家资源连接起来。 机器和可视化中心将提供给整个水稻社区及其当地和国家的合作者。因此，它将促进定量研究在社会科学和其他部门的水稻和超越。DAVinCI将加强数百名本科生和研究生以及科学和工程博士后研究员的研究培训。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都包含在赖斯教师的各级课程中。DAVinCI将成为水稻研究项目的主要研究工具？美国国家科学基金会的世纪学者计划，也是一个重要的工具，由许多本科生工作的国家科学基金会资助的研究。 此外，一个多样化的研究生群体，以及许多本科生从美国国家科学基金会赞助的水稻联盟研究生教育和教授（AGEP）计划，建立了促进代表性不足的少数民族在STEM #64257;elds的进步，将受益于这些新的计算资源在他们的培训使用。 将组织一个特别的暑期项目，让学生熟悉高性能计算，并教授计算问题解决技能。 这个强大的设施，以新的教师的可用性将进一步支持水稻NSF先进计划？赖斯努力招募科学和工程领域的顶尖女教师。

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.