Acquisition of Computing Facilities to support Collaborative Geophysics Research at the University of New Mexico

购买计算设施以支持新墨西哥大学的地球物理协作研究

• 批准号: 2146272
• 负责人: Eric Lindsey
• 金额: $ 9.5万
• 依托单位: University of New Mexico
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-04-15 至 2023-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2146272&HistoricalAwards=false
• 关键词: Acquisition; Computing; Facilities; support; Collaborative

Research in modern geophysics increasingly requires access to significant computational resources which are needed to analyze large datasets using techniques such as InSAR time-series, as well as active and passive seismic imaging of the subsurface, and finite element modeling of subsurface processes. These analysis techniques require thousands of CPU-hours and can involve tens to hundreds of terabytes of data which are beyond the scale that workstations or small servers can manage. In addition, it is not practical to use cloud computing due to the need to move and store very large datasets. This award will significantly expand the capabilities of the University of New Mexico (UNM) in each of the research areas mentioned above through the acquisition of dedicated computational resources for storage and analysis of large geophysical datasets. The award also includes support for development of a Computational Earth Sciences summer workshop for undergraduates, led by the PIs and graduate students. By providing access to critical training in programming and high-performance computing, this workshop will encourage students from under-represented groups in STEM to continue a career in Earth sciences research and other computational fields. This project received co-funding from the Established Program to Stimulate Competitive Research (EPSCoR).This award will support the acquisition of a shared geophysics computing facility with two primary components: (1) a storage server with 192 TB capacity that will host geophysical datasets and processing results, and (2) a cluster of 4 dedicated computing nodes with 32 CPUs and 192 GB RAM each, that will run alongside the storage server. These resources will be hosted at the UNM Center for Advanced Research Computing (CARC), improving the ability to rapidly prototype code and store datasets larger than currently supported by existing CARC resources, while enabling access to larger-scale processing through CARC when needed. Together, these resources will enable us to quickly and seamlessly conduct large-scale computational projects that are presently beyond the reach of this institution. This computational resource will enable development of high-fidelity, data-driven models to investigate issues of particular concern to New Mexico, including: (1) the occurrence of injection-induced earthquakes in the Raton Basin, (2) magma storage and inflation of the Socorro Magma Body and the Valles Caldera, and (3) assessment of the long-term sustainability of actively exploited aquifers across the state.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

现代地球物理学的研究越来越需要获得大量的计算资源，这些资源是利用InSAR时间序列、地下主动和被动地震成像以及地下过程的有限元模拟等技术分析大数据集所需的。这些分析技术需要数千个CPU小时，并可能涉及数十到数百TB的数据，这超出了工作站或小型服务器可以管理的规模。此外，由于需要移动和存储非常大的数据集，使用云计算是不现实的。这项奖励将通过获得储存和分析大型地球物理数据集的专用计算资源，大大扩展新墨西哥大学(UNM)在上述每个研究领域的能力。该奖项还包括支持为本科生举办计算地球科学暑期研讨会，该研讨会由个人投资促进机构和研究生领导。通过提供编程和高性能计算方面的关键培训，该讲习班将鼓励STEM中代表性不足群体的学生继续在地球科学研究和其他计算领域的职业生涯。该项目得到了已建立的激励竞争研究计划(EPSCoR)的共同资助。该奖励将支持收购一个共享的地球物理计算设施，包括两个主要组件：(1)一个容量为192 TB的存储服务器，用于托管地球物理数据集和处理结果；(2)一个由4个专用计算节点组成的集群，每个节点具有32个CPU和192 GB RAM，将与存储服务器一起运行。这些资源将托管在UNM高级研究计算中心(CARC)，提高快速制作代码原型并存储比现有CARC资源支持的数据集更大的能力，同时在需要时能够通过CARC进行更大规模的处理。总而言之，这些资源将使我们能够快速、无缝地开展目前超出该机构能力范围的大规模计算项目。这一计算资源将使开发高保真、数据驱动的模型来调查新墨西哥州特别关注的问题，包括：(1)在拉顿盆地发生由注入引起的地震，(2)索科罗岩浆体和Valles火山口的岩浆储存和膨胀，以及(3)评估全州活跃开采的含水层的长期可持续性。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。