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）资助的。阿拉斯加大学费尔班克斯校区将安装一台研究超级计算机，这将是一个广泛使用的工具，用于调查与北极有关的现象以及一系列其他关键研究领域。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。 北极对于理解全球气候变化及其诸多影响的重要性是将这些研究人员聚集在一起的驱动力，从不同角度解决共同利益，通过出版物和演示文稿广泛分享成果，并将研究和仪器使用纳入课堂。在科学领域，研究将既是规范性的，也是变革性的。变革性的成果是仪器设计方案的一部分，为合作提供了丰富而有用的资源，而不仅仅是针对个别研究项目。展望了地球物理现象的进展，包括对高纬度地区在气候变化、大气科学、海洋、冰盖和海冰方面作用的进一步了解。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，预计将在人类与生态系统的相互作用以及对人类基础设施的影响、对母语研究数据集的整合以及对环境对空气和水质影响的理解方面取得进展。从下一代超级计算机的分析到无线电波传播等工程问题将取得快速进展。这种研究设备基础设施的增强将在许多方面产生更广泛的影响。 作为EPSCoR州的少数民族服务机构，UAF将利用该工具为少数民族和代表性不足的群体参与教学，研究和推广提供机会。 此外，在UAF有一个重要的研究人员社区，他们利用计算方法进行发现，这台仪器将使他们成为可能。

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.