MRI: Acquisition of Hybrid CPU/GPU High Performance Computing and Storage for STEM Research and Education at San Jose State University

MRI：圣何塞州立大学为 STEM 研究和教育采购混合 CPU/GPU 高性能计算和存储

• 批准号: 1626645
• 负责人: Sen Chiao
• 金额: $ 90.08万
• 依托单位: San Jose State University Foundation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-08-01 至 2020-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1626645&HistoricalAwards=false
• 关键词: MRI; Acquisition; Hybrid; CPU; GPU

This award is to acquire a state-of-the-art high-performance computing (HPC) facility at San Jose State University (SJSU). The HPC system will provide faculty and students regular access to a modern, on-campus computing facility for computational science and engineering research. As a key hub for STEM fields in the San Francisco Bay Area, this facility will promote the progress of science and engineering, as well as offer a wide diversity of experiences for our students through required laboratory courses and research opportunities. This multidisciplinary and collaborative project involves faculty and students from biological science, chemistry, computer science, aerospace engineering, computer engineering, meteorology and climate science, physics, astronomy, mathematics, and statistics. The HPC will further enhance SJSU?s capability as a focal point in training members of the biotechnology/ pharmaceutical and information technology workforce in the Bay Area. This facility will also contribute to attracting students from underrepresented groups as well as local community colleges into STEM fields at SJSU. It is anticipated that more than 200 students from SJSU each year in STEM related courses and activities will benefit from such an instrument.Comprising a hybrid central processing unit (CPU)/graphics processing unit (GPU) HPC built using 1696 compute cores and a 1.0-petabyte High Performance Storage System (HPSS). This system will be used for computational analysis, data-intensive research, rich media, three-dimensional computer modeling, data mining, and large-scale simulation. The projects that are poised to commence include: on-demand numerical weather prediction, assimilation, and analysis (Atmospheric Science); dynamical modeling of orbits and dark matter in gas-poor galaxies (Physics and Astronomy); computational modeling of Tat peptide mutants binding to BIV TAR RNA and protein-protein interfaces (Biochemistry); quantum mechanical properties of materials in the atomic scale (Physics and Astronomy); guidance and trajectory optimization strategies in presence of wind, and spacecraft and orbital trajectory optimization (Aerospace Engineering); genomic assessment of adaptation, and pharmacological and evolutionary perspective on bioactive compounds in marine invertebrates (Biological Science); high-resolution simulations of weather phenomena, dust transport, and climate on Mars (Planetary Science); and efficient algorithms for modeling large amount of data in high dimensions (Mathematics and Statistics). The HPC infrastructure and associated user group will enable many further follow-up projects, including cross-disciplinary collaborations as well as participation from the wider SJSU community.

该奖项旨在收购圣何塞州立大学（SJSU）最先进的高性能计算（HPC）设施。HPC系统将为教师和学生提供定期访问现代化的校园计算设施，用于计算科学和工程研究。作为STEM领域在旧金山弗朗西斯科湾区的一个关键枢纽，这个设施将促进科学和工程的进步，以及通过所需的实验室课程和研究机会为我们的学生提供广泛多样的经验。这个多学科和合作项目涉及生物科学，化学，计算机科学，航空航天工程，计算机工程，气象和气候科学，物理，天文学，数学和统计学的教师和学生。HPC将进一步增强SJSU？作为培训湾区生物技术/制药和信息技术劳动力成员的协调中心的能力。该设施还将有助于吸引学生从代表性不足的群体以及当地社区学院进入STEM领域在SJSU。预计每年将有200多名来自STEM相关课程和活动的SJSU学生从这样的仪器中受益。包括使用1696个计算核心构建的混合中央处理器（CPU）/图形处理器（GPU）HPC和1. 0 PB高性能存储系统（HPSS）。该系统将用于计算分析、数据密集型研究、多媒体、三维计算机建模、数据挖掘和大规模模拟。即将开始的项目包括：按需数值天气预报、同化和分析（大气科学）;在气体贫乏的星系中轨道和暗物质的动力学模拟（物理学和天文学）;结合BIV TAR RNA和蛋白质-蛋白质界面的达特肽突变体的计算建模（生物化学）;原子尺度下材料的量子力学性质（物理学和天文学）;有风时的制导和轨道优化策略，以及航天器和轨道轨道优化（航空航天工程）;海洋无脊椎动物中生物活性化合物的适应性基因组评估、药理学和进化前景（生物科学）;高分辨率模拟天气现象，尘埃运输和火星气候（行星科学）;和高效的算法建模大量的数据在高维（数学和统计学）。HPC基础设施和相关的用户组将使许多进一步的后续项目，包括跨学科的合作以及更广泛的SJSU社区的参与。