Acquisition of a parallel-MATLAB capable cluster for computer-intensive research in geodynamics, seismology, hydrothermal systems, and carbon sequestration

获取支持并行 MATLAB 的集群，用于地球动力学、地震学、热液系统和碳封存方面的计算机密集型研究

• 批准号: 1029563
• 负责人: Jason Phipps Morgan
• 金额: $ 7.31万
• 依托单位: Cornell University
• 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
• 起止时间: 2010-10-01 至 2012-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1029563&HistoricalAwards=false
• 关键词: Acquisition; parallel; MATLAB; capable; cluster

Phipps Morgan1029563This award provides funding for a parallel-Matlab-Beowulf cluster which will support geodynamic, geophysical, and carbon sequestration computational research. The PI will take advantage of Matlab's parallel computing engine which has advantages over lower level coding. The research goal is to write high-level, but rapid performance codes. The Matlab "distributed computing engine" will be installed as part of the cluster operating system. This will allow a very large distributed memory model and facilitate 3-D computational experiments. The cluster will be used to develop codes simulating 3-D multigrid-preconditioned conjugate gradients, quadratic velocity/linear pressure elements, 3-D unstructured mesh relocation algorithms, transport, diffusion and melting algorithms, and boundary condition analyses. Additional studies in reservoir engineering and sustainable energy will be supported. The high-level code development will allow more rapid research results and the new cluster will open up research themes in computational geosciences previously unable to be entered by the PI. Student training will be enhanced by the higher-level code capabilities and processing power. A pending IGERT proposal focusing on sustainable energy would be a beneficiary of this system. The PI along with students will assemble the machines and load the OS and Matlab software. The geodynamics group will perform any necessary repairs. ***

菲普斯·摩根1029563该奖项为一个并行的-MatLab-Beowulf集群提供资金，该集群将支持地球动力学、地球物理和碳封存计算研究。PI将利用MatLab的并行计算引擎，该引擎比低级编码具有优势。研究的目标是编写高级别但快速的性能代码。MatLab“分布式计算引擎”将作为集群操作系统的一部分安装。这将允许一个非常大的分布式内存模型，并促进3-D计算实验。该集群将用于开发模拟三维多重网格预条件共轭梯度、二次速度/线性压力元素、三维非结构网格重新定位算法、传输、扩散和熔化算法以及边界条件分析的代码。将支持在油藏工程和可持续能源方面的更多研究。高级代码开发将允许更快的研究结果，新的集群将开辟以前PI无法进入的计算地球科学的研究主题。学生的培训将通过更高级别的代码能力和处理能力来加强。这一制度的受益者将是一项即将提出的关于可持续能源的IGERT提案。PI将与学生一起组装机器并加载操作系统和MatLab软件。地球动力学小组将进行任何必要的修复。***