MRI: Acquisition of a High Performance Computing Cluster for Multi-Disciplinary Research & Education at a Primarily Undergraduate Institution

在这个项目中，凯特林大学的教师将获得并运营一个名为凯特林大学高性能计算集群（KUHPC）的集中式高性能计算（HPC）资源。KUHPC将为凯特林大学提供能力，以促进校园内的计算和数据密集型研究。凯特林是一个主要的本科院校，专门从事科学，工程，数学和商业领域的体验式学习和合作教育。目前校园内可用的计算资源不足以支持教师希望在研究和教学中追求的计算程序的范围。校园需要可靠，专用的计算和数据存储资源来支持和发展现有的教师研究计划，并在未来培养和招募高质量的学生。建立一个集中的计算资源将支持正在进行的研究项目，允许新的研究项目的开发，并促进在研究和本科课程中跨多个科学，技术，工程和数学（STEM）学科的计算技术的使用。KUHPC将使越来越多的多学科教师在凯特林大学使用计算工具在他们的研究。该项目团队代表了九个不同的研究小组，涉及广泛的STEM学科，这些学科将立即从HPC资源的收购中受益。从绘制DNA序列中的代际差异和模拟动态蛋白质结构，到模拟电磁波通过复杂介质的通道和优化工业制造过程-各种项目都将直接受益于集中的HPC资源。KUHPC将提供大规模的并行计算，这将大大缩短所有研究项目的建模，模拟和分析时间。此外，KUHPC将促进学生接触到目前在校园内无法实现的应用计算研究项目。计算研究技术和工具对于多个STEM领域的最先进工作至关重要，未来的凯特林学生将通过课程和校园研究经验获得这些基本技能。收购HPC资源将允许在广泛的学科课程中纳入计算密集型项目或模块。访问HPC资源将为学生提供使用比目前更准确和复杂的计算模型的机会。允许学生作为本科生使用HPC资源将为他们提供强大的技术和计算技能，这些技能可转移到跨学科的行业和研究生学习。

In this project, faculty from Kettering University will acquire and operate a centralized High Performance Computing (HPC) resource called the Kettering University High Performance Computing cluster (KUHPC). KUHPC will provide capabilities to Kettering University to facilitate both computation- and data- intensive research on campus. Kettering is a primarily undergraduate institution specializing in experiential learning and cooperative education within science, engineering, math, and business fields. Current computing resources available on campus are insufficient to support the scope of computational programs faculty wish to pursue both in research and teaching. Reliable, dedicated computational and data-storage resources are needed on campus to support and grow existing faculty research programs, and to train and recruit high-quality students in the future. The establishment of a centralized computational resource will support ongoing research projects, allow for the development of new research projects, and advance the use of computational techniques both in research and in undergraduate coursework across multiple Science, Technology, Engineering, and Math (STEM) disciplines.KUHPC will enable a growing number of multi-disciplinary faculty at Kettering University to use computational tools in their research. The project team represents nine different research groups across a broad range of STEM disciplines that would immediately benefit from the acquisition of the HPC resource. From mapping generational differences in DNA sequences and simulating dynamic protein structures, to modeling the passage of electromagnetic waves through complex media and optimizing industrial manufacturing processes - the diverse projects will all directly benefit from a centralized HPC resource. KUHPC will deliver large-scale parallel computation that will significantly shorten the modeling, simulation, and analysis time for all the research projects.Moreover, KUHPC will facilitate large-scale student exposure to applied computational research projects not currently possible on campus. Computational research techniques and tools are essential for state-of-the art work in multiple STEM fields, and future Kettering students will gain these essential skills through both coursework and on-campus research experiences. The acquisition of the HPC resource would allow for the inclusion of computationally intensive projects or modules in coursework across a wide range of disciplines. Access to an HPC resource would provide students the opportunity to work with more accurate and complex computational models than are currently possible. Allowing students to work with a HPC resource as undergraduates will provide them with strong technical and computational skills that are transferrable to both industry and graduate studies across disciplines.