MRI: Acquisition of a Primary Cluster for the SIO COMPAS Shared Computer Facility

该提案要求提供资金，用于购置一台高性能集群超级计算机，以支持旨在了解和预测海洋、大气和陆地表面物理过程和现象的数值建模。 请求的仪器包括128个双插槽/双核节点、一个前端节点、升级的存储服务器、更大内存（16 Gb）的后处理服务器和现场备件。 该集群将用于更新现有的斯克里普斯观测、建模和预测中心（COMPAS）集群，将有助于支持区域到全球尺度的海洋-大气-陆地建模，小尺度海洋物理学的过程导向建模，以及过程导向的海洋建模和状态估计。更广泛的影响现有的和拟议的仪器将提供博士后，研究生和本科生动手计算技能，使当前和未来的研究工作。 此外，PI预计，所要求的仪器提供的功能将有助于吸引新的教师和支持合作努力，过去的例子中所描述的建议。 此外，与圣地亚哥超级计算机中心的合作允许改进集群管理软件，以分发回更广泛的集群社区。

The proposal requests funding for the acquisition of a high performance cluster supercomputer to support numerical modeling aimed at understanding and predicting physical processes and phenomena in the ocean, atmosphere and land surface. The requested instrumentation consists of 128 dual-socket/dual-core nodes, a front-end node, upgraded storage servers, larger memory (16Gb) postprocessing servers and on-site spares. The cluster, which will serve to update the existing Center for Observations, Modeling, and Prediction at Scripps (COMPAS) cluster, will help support regional to global scale ocean-atmosphere-land modeling, process-oriented modeling of small-scale ocean physics, and process-oriented ocean modeling and state estimation. Broader ImpactsThe existing and proposed instrumentation will provide post-docs, graduate students and undergraduates with hands-on computing skills to enable current and future research efforts. Additionally, the PIs anticipate that the capabilities afforded by the requested instrumentation will be useful in attracting new faculty and supporting collaborative efforts, past examples of which are described in the proposal. Additionally, collaboration with the San Diego Supercomputer Center allows for improvements to cluster management software to be distributed back to the wider cluster community.