MRI: Acquisition of a HPC System: Computing for Sustainability

MRI：购买 HPC 系统：可持续发展计算

• 批准号: 1726447
• 负责人: Arun Somani
• 金额: $ 67.82万
• 依托单位: Iowa State University
• 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 2019-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1726447&HistoricalAwards=false
• 关键词: MRI; Acquisition; HPC; System; Computing; MRI; Acquisition; HPC; System; Computing

This project, acquiring a new high performance computing (HPC) platform, aims to accelerate knowledge discovery, to provide external visibility, and to help problems of national need and societal benefit while supporting research from approximately 30 investigators from 20 departments in 6 colleges. The work builds on the expertise of scientists and the institutional focus on simulation- and data-driven science to create computing infrastructure that enables advances in the following four areas:- Sustainable Energy: The new HPC cluster enables high throughput analysis and helps identify future technologies (such as wind, solar, and bioenergy) while serving as the key platform for computational materials research in catalysis, batteries, 2D materials and organic electronics for virtual exploration design and control. - Digital Agriculture: The institution emphasizes microbial organisms for bio-renewable production, plant science research emphasizing biotechnology of important cereal crops (e.g., maize, barley, and soybeans) genomic advances, phenotypic prediction, precision agriculture, climate sciences, and sustainability of farming practices. Thus the research efforts span microbial, plant, and animal species, all of which are becoming more and more data driven.- Sustainable Healthcare: The HPC platform supports (with data-driven approaches for translational health) basic applications to health care in nanoparticle synthesis and targeted drug delivery mechanisms, identification of biomarkers for Alzheimer's and Parkinson's diseases, and modeling of multi-phase flow physics for sustainable pharmaceutical applications. The institution's biomedical program spans veterinary medicine, sciences, human sciences, and engineering schools.- HPC Research and Training: The infrastructure enables continuation of training activities to prepare a globally-engaged HPC-aware workforce. Hardware, software, and training methods are under development to design robust, comprehensive, open, science-driven, user-friendly cyberinfrastructure consisting of standardized and curated datasets of interest with processing capabilities. Broader Impacts:This proposal addresses three main classes of broader impacts:- Availability of computational algorithms to the broader research community as open-source codes, enables broad impact (national and societal) on sustainability efforts in energy, food, healthcare, and infrastructure design;- Enhancing and enabling new collaborative efforts by enriching the current research infrastructure that incorporates HPC into advanced course to train undergraduates and graduate students and postdoctoral fellows in computational modeling and algorithm development; and- Availability of time to primarily undergraduate institutions coupled with active recruitment plans to attract women, underrepresented minorities, and first generation students to the institution. These goals will be achieved in conjunction with two NSF awards: RED RIDE and S_STEM ECSEL.

该项目获得了新的高性能计算平台（HPC）平台，旨在加速知识发现，提供外部知名度，并帮助国家需求和社会利益的问题，同时支持来自6个学院的20个部门的大约30名研究人员的研究。这项工作以科学家的专业知识为基础，机构关注的是模拟和数据驱动的科学，以创建计算基础架构，以在以下四个领域中进步，可持续能源：新的HPC群集可以进行高吞吐量分析，并帮助未来的技术（例如，诸如风，solar和Bioenergy）的计算材料和电气化的材料，并帮助确定计算材料的材料，以构成电动材料，以构成电动材料，以调查计算材料，以构成电动材料，以调查计算机，以调查计算的电源，以构成计算机的计算机，并有助于计算材料，并有助于计算材料，并有助于计算材料，并有助于计算材料。虚拟探索设计和控制。 - 数字农业：该机构强调了生物可再生生产的微生物，植物科学研究强调了重要谷物作物的生物技术（例如玉米，大麦和大豆）基因组进步，表型预测，精确的农业，精确的农业，气候科学和耕种习惯。因此，研究工作涵盖了微生物，植物和动物种类，所有这些都在驱动的数据越来越多。-可持续医疗保健：HPC平台支持（采用数据驱动的方法，用于转化健康的方法）在纳米颗粒合成中的医疗保健基本应用和靶向药物输送机制，用于为Alzheimer's和Packinson's obsessober and Pappinson's sige Ississ Insive Ississive和Pappins-Pappinsoss识别而建立的综合机制的基本应用。药物应用。 该机构的生物医学计划涵盖了兽医医学，科学，人类科学和工程学学校。-HPC研究与培训：基础设施使培训活动能够继续准备全球的HPC-HPC Aware Aware Ware Moarferce。硬件，软件和培训方法正在开发中，以设计强大，全面，开放，科学驱动，用户友好的网络基础结构，这些结构由标准化和精心策划的数据集组成，具有处理能力。 更广泛的影响：该提案解决了更广泛影响的三个主要类别： - 对更广泛的研究社区的计算算法作为开源代码，对能源，食品，医疗保健和基础设施的可持续性努力产生广泛的影响（国家和社会），以增强和培训新的协作努力，从而融合了新的协作努力，从而使他们能够增强新的协作努力。计算建模和算法开发的研究生和博士后研究员；以及主要用于本科机构的时间以及积极的招聘计划，以吸引妇女，代表性不足的少数民族以及第一代学生加入该机构。这些目标将与两个NSF奖一起实现：Red Ride和S_stem Ecsel。