MRI: Acquisition of Thorny Flat Next Generation Cluster for High-Performance Computing in West Virginia

MRI：收购 Thorny Flat 下一代集群，用于西弗吉尼亚州的高性能计算

• 批准号: 1726534
• 负责人: Blake Mertz
• 金额: $ 98.94万
• 依托单位: West Virginia University Research Corporation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-10-01 至 2021-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1726534&HistoricalAwards=false
• 关键词: MRI; Acquisition; Thorny; Flat; Next

This project will enable West Virginia University (WVU), the flagship Land Grant University for the state of West Virginia (WV) with over 31,000 students, to acquire a High Performance Computing (HPC) cluster called Thorny Flat. The project will use the resource to support a broad spectrum of research efforts from cosmology to neuroscience, as well as expand utilization of the resource to non-traditional disciplines like systems ecology and biometrics. In addition, an important goal of the project is to nurture a cohort of new HPC users across West Virginia, a region in acute need of economic diversification. Moreover, the project plans to use the HPC cluster to establish collaborations that will serve to expand and transition the WV economy toward a focus on the high-level technology sector, a critical need in this disadvantaged region.Specifically, the new HPC cluster will accelerate research projects in biophysical chemistry studies with implications for drug delivery and diagnostic imaging; state-of-the-art code development for materials optimization; and simulations of binary neutron star mergers for future LIGO gravity wave observations. As well, the resource will catalyze new efforts in Appalachian watershed dynamics, business analytics, and the university's burgeoning quantitative neuroscience program, with six new hires planned for 2017. With established Centers of Research Excellence in gravitational wave astronomy, STEM education, water security, regional health disparities, and responsible natural gas utilization, the university is devoting new resources to leverage existing strengths in neuroscience and cybersecurity. The availability of high quality infrastructure, such as Thorny Flat, will be essential to the success of many of these computationally intense efforts, led by 35 faculty in conjunction with 180 postdocs, graduate students, and undergrads.Moreover, the project is committed to using the HPC cluster for training and support for both the university and state-wide research communities. For example, courses from a diverse set of disciplines will utilize the cluster as a vital training resource, and the project plans to integrate with an annual week-long HPC Summer Institute providing hands-on training to users from across the state. Furthermore, the project will broaden demand for HPC resources from less traditionally computational areas to address critical big data issues in water security, opiate addiction, and health care disparities. In parallel, the project will be cultivating the next generation of HPC coders and diversifying the pool with 7 female faculty mentors. In addition, the expanded infrastructure and development of a well-qualified HPC workforce will promote additional university partnerships with regional federal labs, as well as with regional industrial partners.

该项目将使西弗吉尼亚大学(WVU)--西弗吉尼亚州(WV)的旗舰土地赠与大学(WV)拥有超过31,000名学生--能够获得名为TRONY Flat的高性能计算(HPC)集群。该项目将利用该资源支持从宇宙学到神经科学的广泛研究努力，并将资源的利用扩大到系统生态学和生物识别等非传统学科。此外，该项目的一个重要目标是在西弗吉尼亚州培养一批新的高性能计算机用户，该地区迫切需要经济多元化。此外，该项目计划利用HPC集群来建立合作，这将有助于扩大和转变WV经济，使其专注于高水平的技术部门，这是这个不利地区的关键需求。具体地说，新的HPC集群将加快生物物理化学研究中的研究项目，涉及药物输送和诊断成像；最先进的材料优化代码开发；以及模拟双星中子星合并，用于未来的LIGO重力波观测。此外，该资源还将推动阿巴拉契亚分水岭动力学、商业分析以及该大学蓬勃发展的定量神经科学项目的新努力，计划在2017年招聘6名新员工。随着在引力波天文学、STEM教育、水安全、地区健康差异和负责任的天然气利用方面建立卓越研究中心，该大学正在投入新的资源，以利用神经科学和网络安全方面的现有优势。高质量基础设施的可用性，如Trouny Flat，将是许多计算密集型工作成功的关键，这些工作由35名教师以及180名博士后、研究生和本科生领导。此外，该项目致力于使用HPC集群为大学和全州范围的研究社区提供培训和支持。例如，来自不同学科的课程将利用集群作为重要的培训资源，该项目计划与每年为期一周的HPC暑期学院整合，为全州各地的用户提供动手培训。此外，该项目将扩大传统计算领域对高性能计算资源的需求，以解决水安全、鸦片成瘾和医疗保健差距等关键大数据问题。与此同时，该项目将培养下一代HPC程序员，并通过7名女性教员导师实现人才库的多样化。此外，扩大基础设施和培养合格的HPC劳动力将促进更多的大学与地区联邦实验室以及与地区工业合作伙伴的伙伴关系。

项目成果

Acceleration of Premixed Flames in Obstructed Pipes with Both Extremes Open

两端开放的阻塞管道中预混火焰的加速

• DOI: 10.3390/en13164094
• 发表时间: 2020
• 期刊: Energies
• 影响因子: 3.2
• 作者: Adebiyi, Abdulafeez;Abidakun, Olatunde;Akkerman, V’yacheslav
• 通讯作者: Akkerman, V’yacheslav

Comprehensive Analysis of a Dense Sample of FRB 121102 Bursts

• DOI: 10.3847/1538-4357/ac2577
• 发表时间: 2021-07
• 期刊: The Astrophysical Journal
• 作者: K. Aggarwal;D. Agarwal;E. Lewis;R. Anna-Thomas;Jacob Cardinal Tremblay;S. Burke-Spolaor;M. Mclaughlin-M.

The NANOGrav 11 yr Data Set: Limits on Supermassive Black Hole Binaries in Galaxies within 500 Mpc

• DOI: 10.3847/1538-4357/abfcd3
• 发表时间: 2021-01
• 期刊: The Astrophysical Journal
• 作者: Z. Arzoumanian;P. Baker;A. Brazier;P. Brook;S. Burke-Spolaor;B. Bécsy;M. Charisi;S. Chatterjee;J. Cordes;N. Cornish;F. Crawford;H. Cromartie;M. DeCesar;P. Demorest;T. Dolch;R. D. Elliott;J. Ellis;E. Ferrara;E. Fonseca;N. Garver-Daniels;P. Gentile;D. Good;J. Hazboun;K. Islo;R. Jennings;Megan L. Jones;A. Kaiser;D. Kaplan;L. Kelley;J. Key;M. Lam;T. Lazio;Jing Luo;R. Lynch;Chung-Pei Ma;D. Madison;M. Mclaughlin;C. Mingarelli;C. Ng;D. Nice;T. Pennucci;N. Pol;S. Ransom;P. Ray;B. Shapiro-Albert;X. Siemens;J. Simon;R. Spiewak;I. Stairs;D. Stinebring;K. Stovall;J. Swiggum;S. Taylor;M. Vallisneri;S. Vigeland;C. Witt;The NANOGrav Collaboration

Effect of surface–bulk partitioning on the heterogeneous oxidation of aqueous saccharide aerosols

表面-本体分配对水糖气溶胶非均相氧化的影响

• DOI: 10.1039/c8cp06785f
• 发表时间: 2019
• 期刊: Physical Chemistry Chemical Physics
• 影响因子: 3.3
• 作者: Fan, Hanyu;Wenyika Masaya, Tadini;Goulay, Fabien
• 通讯作者: Goulay, Fabien

Exploring the elastic and electronic properties of chromium molybdenum diboride alloys

• DOI: 10.1016/j.jallcom.2021.158885
• 发表时间: 2021-06
• 期刊: Journal of Alloys and Compounds
• 影响因子: 6.2
• 作者: Viviana Dovale-Farelo;P. Tavadze;M. Verstraete;A. Bautista-Hernández;A. Romero