CC* Compute: Accelerating Advances in Science and Engineering at The University of Alabama Through HPC Infrastructure

CC* 计算：通过 HPC 基础设施加速阿拉巴马大学科学与工程的进步

• 批准号: 2018846
• 负责人: Jeffrey Carver
• 金额: $ 40万
• 依托单位: University of Alabama Tuscaloosa
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-07-01 至 2023-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2018846&HistoricalAwards=false
• 关键词: CC; Compute; Accelerating; Advances; Science

This project augments the University of Alabama’s (UA) computing infrastructure to support the increase in computational science and engineering needed to study diverse, interesting problems including: reliable computational chemistry predictions, properties of engineered materials, applied mathematics for image analysis and signal processing, bioinformatics of complex cellular systems, and hydrological simulations. The new high-performance computing (HPC) infrastructure removes bottlenecks in local UA resources caused by an increasing number of users and increasingly larger computational solutions to more realistic problems. This infrastructure enables UA researchers to make scientific and engineering advances not possible with previous UA HPC machines. To provide broader impacts, the infrastructure is also available to regional institutions of higher education, including HBCUs and private institutions who lack adequate HPC access, and to similar institutions across the nation through the Open Science Grid.This project augments the UA HPC system by (1) doubling computing capacity, (2) adding two large-memory nodes for large-scale data analysis and mining, (3) adding ten GPUs for massively data-parallel computations, (4) significantly increasing storage node bandwidth, and (5) shifting from a “condo” model to a general use, shared model. This infrastructure provides compelling new research and educational opportunities for students, staff, and faculty at UA and other regional and national institutions (including HBCUs and private institutions). In terms of broader impacts, the infrastructure allows undergraduate students to perform state-of-the-art computational research, thereby attracting more diverse STEM participants. The infrastructure provides a platform for educating the next generation of computational and computer scientists in cutting-edge HPC techniques.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.

该项目扩大了阿拉巴马大学（UA）计算基础设施，以支持研究潜水员所需的计算科学和工程学的增加，包括：可靠的计算化学预测，工程材料的特性，用于图像分析的应用数学，用于信号处理和信号处理，复杂的蜂窝系统的生物信息学以及复杂的蜂窝系统的生物信息学以及水文模拟。新的高性能计算（HPC）基础架构消除了由于越来越多的用户以及越来越大的计算解决方案引起的本地UA资源中的瓶颈。这种基础设施使UA研究人员能够通过以前的UA HPC机器实现科学和工程的进步。为了提供更广泛的影响，基础设施也可用于高等教育的地区机构，包括HBCUS和缺乏足够的HPC访问权限的私人机构，以及通过开放科学网格的全国各地的类似机构，该项目将UA HPC系统扩大（1）添加了两次大型数据，并添加了两次大型nodes nodes（2）对于大量数据并行计算，（4）显着增加了存储节点带宽，（5）从“公寓”模型转移到一般使用，共享模型。该基础设施为UA以及其他地区和国家机构（包括HBCUS和私人机构）的学生，教职员工和教职员工提供了引人入胜的新研究和教育机会。在更广泛的影响方面，基础设施使本科生可以进行最先进的计算研究，从而吸引更多不同的STEM参与者。该基础设施提供了一个平台，可以在最先进的HPC技术中教育下一代计算和计算机科学家。该奖项反映了NSF的法定任务，并且是否使用基金会的知识分子和更广泛的影响审查标准来通过评估来诚实地支持我们的支持。