MRI Acquistion: High Performance Computing Cluster for Data Intensive Research

授予夏威夷大学(UH)系统的这一奖项导致获得、部署和维护高性能集群，以支持UH校园的计算和数据密集型研究，支持使用机器学习和人工智能的数据科学研究。研究人员专注于三个多学科的研究工作(数据科学研究所(HI-DSI)、艾克·围：确保夏威夷的未来水安全(EPSCoR RII Track 1)和通过岛屿知识和调查进行微生物组分析中心(C-Maiki))，旨在影响主要涉及15名终身教职前教师的广泛研究。集群将作为一种共享资源进行管理，服务于各种目标，包括：1.高级技术培训，2.支持在研究中使用图形处理器(GPU)的研究人员，3.支持高吞吐量计算(HTC)用户，4.通过培训活动和支持扩大多园区用户基础，以及5.在课堂和身临其境的实践培训研讨会中扩大教育和研究机会。HI-DSI是多种多样的UH系统范围的努力，作为数据科学研究和教育专业知识的纽带。这一努力创造了对岛屿和国际社会重要的新知识，以改善国家安全并从其研究中获得经济价值。该项目提供了关键的计算资源和技术人力基础设施(最近从一流大学招聘的一批早期职业教师)，以确保这些新的研究人员在大学里茁壮成长。大学信息技术服务-网络基础设施(ITS-CI)将继续培训，并与HI-DSI合作，增加新的数据科学培训模块和研讨会。这些活动将加强正规的课堂教育，支持研究生和本科生的研究项目。调查人员将努力吸引新的用户社区，并帮助设计培训计划，以满足研究人员的需求。该集群作为共享的校园资源对所有研究人员免费管理，将有助于保持研究人员在其项目中的领先地位，并为学生在研究和工业领域的职业生涯做好更好的准备。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。

This award to the University of Hawaii (UH) System results in the acquisition, deployment, and maintenance of a high-performance cluster to support computational and data intensive research for the UH campuses, supporting data science research that uses machine learning and artificial intelligence. Focusing on three multi-disciplinary research efforts (Data Science Institute (HI-DSI), Ike Wai: Securing Water Future for Hawaii (EPSCoR RII Track 1), and Center for Microbiome Analysis through Island Knowledge and Investigation (C-MAIKI)), the investigators aim to impact a broad range of research that primarily involves 15 pre-tenured faculty. The cluster will be managed as a shared resource servicing various goals that include: 1. Advance technical training, 2. Support for researchers who use Graphics Processing Units (GPUs) in their research, 3. Support High Throughput Computing (HTC) users, 4. Broadening the multi-campus user base through training activities and support, and 5. Expanding educational and research opportunities in the classroom and in hands-on immersive training workshops. The HI-DSI is diverse UH system-wide effort that serves as a nexus for expertise in data science research and education. This effort creates new knowledge important to the islands and the global community to improve national security and derive economic value from its research. This project provides the critical computational resources, and technical human infrastructure (a cadre of early career faculty from top tier institutions recently recruited) to ensure that these new investigators thrive in the university. The UH Information Technology Services-CyberInfrastructure (ITS-CI) will continue training and collaborate with HI-DSI to add new data science training modules and workshops. These activities will augment formal classroom education and support graduate and undergraduate research projects. The investigators will work to engage new user communities and help design training programs to meet the needs of the researchers. The cluster, managed as a shared campus resource free to all researchers, will contribute to keep researchers at the leading edge of their programs and better prepare students for careers in research and industry.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.