MRI: Acquisition of Cutting-Edge GPU and Phi Nodes for the Interdisciplinary UMBC High Performance Computing Facility

该项目将扩展跨学科的马里兰大学巴尔的摩县（UMBC）高性能计算设施（HPCF），该设施是基于社区的跨学科核心设施，用于UMBC的科学计算和并行算法研究。此次扩建将支持来自整个校园13个学术部门和研究中心的51名研究人员的研究项目，包括计算机科学、信息系统、数学、统计、物理、生物、化学、海洋生物技术、环境系统、工程（计算机、电气、机械、化学和环境）以及专注于环境研究、地球科学和成像研究的研究中心。具体来说，扩展后的计算设施将包括84个计算节点，包括尖端的NVIDIA GPU加速器和英特尔Xeon Phi KNL处理器。新资源的可用性将使UMBC的研究人员有机会通过最先进的cpu和尖端的gpu和Phi KNL处理器的模拟和建模活动的显着加速来增加科学发现。HPCF的现有集群已经吸引了广泛的用户群，它成功地结合了足够的硬件、学生教育的紧密集成、免费的用户支持和适当的使用策略。此外，新扩大的HPCF资源将使UMBC能够在各级研究和教育之间发展强大的协同作用。通过该项目的用户支持咨询方法，应用研究人员及其博士后、研究生和本科生将接触到最先进的计算软件和硬件的力量，这是对未来劳动力至关重要的体验。目前nsf资助的UMBC项目具体体现了教育和研究的协同整合，包括高性能计算的REU站点，定量生物学的REU站点，拟议的网络培训计划，以及越来越多使用HPCF的课程。HPCF还积极与校园内的其他努力合作，例如UMBC Meyerhoff奖学金和nih资助的MARC项目，这两个国家认可的项目吸引了大量来自代表性不足群体的学生进入科学领域。

This project will expand the interdisciplinary University of Maryland Baltimore County (UMBC) High Performance Computing Facility (HPCF), the community-based, interdisciplinary core facility for scientific computing and research on parallel algorithms at UMBC. The expansion will support the research projects of 51 researchers from 13 academic departments and research centers across the entire campus, including the areas of Computer Science, Information Systems, Mathematics, Statistics, Physics, Biology, Chemistry, Marine Biotechnology, Environmental Systems, Engineering (Computer, Electrical, Mechanical, Chemical, and Environmental), and research centers focused on environmental research, earth sciences, and imaging research.Specifically, the expanded computational facility will comprise a total of 84 compute nodes including cutting-edge NVIDIA GPU accelerators and Intel Xeon Phi KNL processors. The availability of the new resource will give researchers at UMBC the opportunity to increase scientific discovery significantly through the dramatic speedup in their simulation and modeling activities from state-of-the-art CPUs and cutting-edge GPUs and Phi KNL processors. An existing cluster at HPCF has already attracted a broad user base through a winning combination of sufficient hardware, tight integration of student education, freely available user support, and an appropriate usage policy. Moreover, the new expanded resources of HPCF will enabled UMBC to develop a powerful synergy between research and education at all levels. Through the project's consulting approach to user support, application researchers and their post-docs, graduate students, and undergraduate students will be exposed to the power of state-of-the-art computing software and hardware, a crucial experience for the future workforce. Synergistic integration of education and research is concretely exemplified by current NSF-funded initiatives at UMBC, including an REU Site on high performance computing, a proposed REU Site in quantitative biology, proposed CyberTraining initiatives, and a growing number of courses that use HPCF. HPCF also actively partners with other efforts on campus, such as the UMBC Meyerhoff Scholarship and the NIH-funded MARC programs, two nationally recognized programs that attract substantial numbers of students from underrepresented groups into the sciences.