Equipment: CC* Campus Compute: A High-Performance Computing System for Research and Education in Arkansas

该奖项更新了阿肯色州高性能计算中心(AHPCC)的计算资源，以支持EPSCoR州阿肯色州的研究和教育。AHPCC总部设在阿肯色大学，支持该州的高等教育机构，包括阿肯色大学松树布拉夫分校(HBCU)、阿肯色理工大学、阿肯色大学小石城分校、阿肯色医学科学大学、菲兰德·史密斯大学(HBCU)等。此次收购将所有用户的CPU容量在一个更高效的系统上翻了一番，增加了37台与100 GB/S InfiniBand HDR-100网络互连的双插槽服务器计算机，包括一个管理以太网络等支持设备，以及两个带配电和水冷却的计算机机架。该系统支持与数据科学工程、人工智能、计算物理、材料科学、生物、化学和生物化学相结合的研究，并延续了AHPCC带来的高影响力发现的传统。此次收购带来的尖端科学例子包括：模型降阶和基于物理的机器学习算法、用于神经形态计算的新型2D多铁和材料、纳米通道内软胶囊的动力学，以及通过微生物进化评估全球变暖。还支持招聘、培训和准备STEM劳动力的研究活动，特别是在数据分析方面，当地公司对此有强烈的需求。研究和技术团队在期刊和会议上发表研究成果，并提供系列讲座和研讨会，培训全州用户关于高性能计算技术并吸引新用户。该奖项确保了更多高素质女性和代表不足的教职员工和学生的参与，有助于创建更多样化的劳动力队伍。该工具是开放科学网格联盟的一部分。这一奖项由高级网络基础设施办公室颁发，由既定的激励竞争研究计划(EPSCoR)共同支持。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 updates computing resources in the Arkansas High Performance Computing Center (AHPCC) to support research and education in Arkansas, an EPSCoR state. AHPCC is based at the University of Arkansas and supports higher education institutions in the state, including the University of Arkansas at Pine Bluff (an HBCU), Arkansas Tech University, the University of Arkansas at Little Rock, the University of Arkansas for Medical Sciences, Philander Smith University (an HBCU), and others. This acquisition doubles all-user CPU capacity on a much more efficient system, adding 37 dual-socket server computers interconnected with a 100 Gb/s InfiniBand HDR-100 network and including supporting equipment such as an administrative Ethernet network, and two computer racks with power distribution, and water cooling.The system supports research aligned with data science engineering, artificial intelligence, computational physics, materials science, biology, chemistry, and biochemistry, and continues a tradition of high-impact discoveries enabled by AHPCC. Examples of cutting-edge science enabled by this acquisition include: model order reduction and physics-based machine learning algorithms, new 2D multiferroics and materials for neuromorphic computing, dynamics of soft capsules within nano-channels, and assessing global warming through microbial evolution. Research activities to recruit, train and prepare the STEM workforce are also supported, especially in data-analytics, for which there is a strong need from local companies. The research and technical teams publish research in journals and conferences and deliver lecture series and workshops that train statewide users on High Performance Computing technologies and attract new users. The award ensures an increased participation of highly qualified women and under-represented faculty and students, helping create a more diverse workforce. This instrument is part of the Open Science Grid Consortium.This award by the Office of Advanced Cyberinfrastructure is jointly supported by the Established Program to Stimulate Competitive Research (EPSCoR).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.