MRI:"Acquisition" of Rice Computational Research Cluster (RCRC)

MRI：“收购”莱斯计算研究集群（RCRC）

• 批准号: 0421109
• 负责人: Keith Cooper
• 金额: $ 200万
• 依托单位: William Marsh Rice University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-09-01 至 2008-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0421109&HistoricalAwards=false
• 关键词: MRI; Acquisition; Rice; Computational; Research

This project, acquiring a large scale (512 processors) Linux computational cluster, provides a research instrument for computing intensive research and education projects that can help advance knowledge and understanding in a diversity of fields, while enabling technologies in systems and compilers, multiscale computational biology, biophysics, bioengineering, earth sciences, and psychology. Sharing benefits of terascale computational power with 32 investigators and 50 NSF-funded projects, this advanced high performance computing instrument, also promotes cross-disciplinary collaboration between tool-building teams and scientific computing teams in bio-computing, geodynamics, and magnetic resonance analysis. Software tool-building addresses performance issues, caching and clustering schemes for dynamic web sites, and designing improved TCP/IP interfaces. Eliminating the need for many, separate ad-hoc clusters in different departments, the cluster services, among others, the following specific computational research projects:* Studying software and performance issues for heterogeneous Grid systems.* Caching and clustering schemes for web sites with dynamic content,* Designing improved TCP/IP interfaces for cluster computing,* Multiscale computational biology, biophysics, and bioengineering,* Modeling of tissues, cells, and cell populations,* Modeling of flow and hemolysis in implantable blood pumps,* Computer-aided drug discovery,* Algorithms for PDE constrained optimization,* Novel algorithms for large-scale numerical linear algebra,* Using computational fluid dynamics to model thermal convection in the Earth's mantle,* Particle dynamic simulations of earth processes,* Multiscale seismological simulation,* Analysis of functional MRI (fMRI) data,* Source modeling of EEG and ERP signals, and* Modeling of visual ideal observers.Broader Impact: The facility, benefiting more than 100 PhD students, 50 undergraduates, and 30 Postdoctoral fellows, and directly impacting 32 investigators, will be used in classes at the undergraduate and graduate levels and also as a recruiting tool through existing alliance activity (AGEP: Alliance for the Graduate Education and the Professoriate and a "Spend a Summer with a Scientist" outreach program). Furthermore, the work exhibits strong emphasis on learning, communication, and interaction across disciplines.

该项目获得了一个大规模（512个处理器）的Linux计算集群，为计算密集型研究和教育项目提供了一个研究工具，可以帮助提高各个领域的知识和理解，同时使系统和编译器、多尺度计算生物学、生物物理学、生物工程学、地球科学和心理学等领域的技术成为可能。这种先进的高性能计算仪器与32名研究人员和50个国家科学基金会资助的项目共享万亿级计算能力的好处，还促进了工具制造团队和科学计算团队在生物计算，地球动力学和磁共振分析方面的跨学科合作。软件工具建设解决性能问题，缓存和集群方案的动态网站，并设计改进的TCP/IP接口。在不同的部门中不需要许多独立的ad-hoc集群，集群服务，除其他外，以下特定的计算研究项目：* 研究异构网格系统的软件和性能问题。为动态内容的网站设计缓存和集群方案，* 为集群计算设计改进的TCP/IP接口，* 多尺度计算生物学，生物物理学和生物工程，* 组织，细胞和细胞群的建模，* 植入式血泵中的流动和溶血建模，* 计算机辅助药物发现，* PDE约束优化算法，* 大规模数值线性代数的新算法，* 使用计算流体动力学模拟地幔中的热对流，* 地球过程的粒子动力学模拟，* 多尺度地震模拟，* 功能性磁共振成像（fMRI）数据分析，* EEG和ERP信号源建模，以及 * 视觉理想观察者建模。该设施使100多名博士生，50名本科生和30名博士后研究员受益，并直接影响32名研究人员，将在本科生和研究生级别的课程中使用，并通过现有的联盟活动（AGEP：研究生教育和教授联盟以及“与科学家共度一个夏天”外展计划）作为招聘工具。此外，这项工作非常强调跨学科的学习，沟通和互动。