MRI-R2: Acquisition of a Configurable Supercomputer for Arctic Research

该奖项是根据2009年《美国复苏和再投资法案》(公法111-5)提供资金的。阿拉斯加大学费尔班克斯分校将安装一台研究超级计算机，这将是一个广泛使用的工具，用于调查与北极和其他一系列关键研究领域有关的现象。该仪器将由来自多个领域的研究人员使用，包括地球物理科学、数学、生物学、超级计算研究和工程。北极对于了解全球气候变化及其诸多影响的重要性是推动这些研究人员聚集在一起，从不同角度解决共同利益，通过出版物和演讲广泛分享成果，以及在课堂上整合研究和仪器使用的动力。对于科学领域，研究将既是规范性的，也是变革性的。变革性成果是仪器设计提案的一部分，为合作提供了丰富和有用的资源，而不仅仅是为个别研究项目提供了资源。预计将在地球物理现象方面取得进展，包括提高对高纬度地区对气候变化、大气科学、海洋、冰盖和海冰的作用的认识。在生物学和生态学方面，预计将在种群遗传学、海洋生态系统和北方生态系统方面取得进展。在人类领域，预计将在人与生态系统的相互作用及其对人类基础设施的影响、整合用于母语研究的数据集以及了解环境对空气和水质量的影响方面取得进展。从下一代超级计算机的分析到无线电波传播的工程问题将取得快速进展。这项研究设备基础设施的增强将在多个方面产生更广泛的影响。作为EPSCoR州的少数群体服务机构，UAF将利用该工具为少数群体和代表性不足的群体提供参与教学、研究和外联的机会。此外，UAF有一个重要的研究社区，他们利用计算方法来发现谁将能够通过这一仪器。

This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5). The University of Alaska Fairbanks campus will install a research supercomputer that will be a broadly accessible instrument for investigation of phenomena related to the Arctic as well as a set of other key research areas. The instrument will be utilized by researchers from a number of domains, including geophysical science, mathematics, biology, supercomputing research, and engineering. The importance of the Arctic for understanding global climate change and its many influences is a driving force in bringing together these researchers, to address common interests from different angles, to share results widely through publications and presentations, and to integrate research and instrument use in the classroom. For the scientific areas, research will be both normative and transformative. Transformative results are part of the instrument design proposal, by providing a rich and useful resource for collaboration, not just for individual research projects. Advances are envisioned in geophysical phenomena, including increased understanding of high-latitudes roles for climate change, the atmospheric sciences, the oceans, ice sheets, and sea ice. In biology and ecology, advances are envisioned in population genetics, marine ecosystems, and Boreal ecosystems. In the human sphere, advances are anticipated in human-ecosystem interaction and the influence on human infrastructure, on integration of datasets for native language study, and understanding of environmental influences on air and water quality. Engineering concerns, ranging from analysis of next-generation supercomputers to radio wave propagation, will see rapid progress.This research equipment infrastructure enhancement will have broader impacts in a number of ways. As a minority serving institution in an EPSCoR state, UAF will leverage the instrument to provide opportunities for involvement of minorities and underrepresented groups in teaching, research and outreach. In addition, there is a significant community of researchers at UAF who utilize computational methods for discovery who will be enabled by this instrument.