课题基金 / 基金详情

MRI:Acquisition of a Multi-Purpose High-Performance Computing Infrastructure for Machine Learning and Computational Research at Temple University

MRI:Acquisition of a Multi-Purpose High-Performance Computing Infrastructure for Machine Learning and Computational Research at Temple University
MRI:天普大学购买用于机器学习和计算研究的多用途高性能计算基础设施
批准号:
2216289
负责人:
Michael Klein
金额:
$45.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2022
资助国家:
美国
项目状态:
未结题
起止时间:
2022-10-01 至 2025-09-30

项目摘要

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中文摘要
翻译
该项目将为天普大学提供新的研究计算设备。来自生物、化学、计算机和信息科学、数学和物理等学科的教师和学生将受益,以及其他学科,他们将计算作为他们研究的主要工具。该设备由三个部分组成:(1)存储设备,(2)为增强机器学习应用而优化的处理器集,以及(3)为大规模计算计算而调整的高性能处理单元。这些设备将补充天普现有的投资,并有助于推动整个校园的本科生研究和教育活动。计算科学、化学物理学、进化生物学、材料科学、生物物理学、数据分析和基因组学是科学与技术学院的主要研究主题。反映这些主题的各种研究中心和研究所将被新的高性能计算设备赋予能力。此外,该设备将广泛影响机器学习、计算机视觉、大数据、纳米尺度科学、神经科学以及能源和健康领域的研究。新设备将极大地增强当前的计算设施,并在广泛的前沿实现变革性研究。坦普尔大学是费城的一所公立大学,有35,900名研究生、专业学生和本科生。它拥有多元化的学生群体。天普拥有该地区为数不多的能够超越最低限度服务的计算中心之一,可以促进和支持K-12和STEM教育、政府机构和当地产业之间的协作与合作。天普学院的专业科学硕士课程满足了商业环境下科学培训的需求;在计算科学方面的广泛专业知识导致了具有强大计算组件的程序的发展,例如生物信息学和高性能计算。新的基础设施将促进研究和教育经验,包括当地和区域社区,并授权有助于该地区经济增长的创业研究活动。新设备将由科学技术学院的高性能计算人员采购、组装和操作。网站https://www.hpc.temple.edu提供了有关可用资源、访问方式、用户指南、使用统计和使用策略的信息。工作人员将负责运行相关的教程,研讨会和会议,旨在使用户群受益,不仅在天普,而且在当地和区域研究社区。该奖项反映了美国国家科学基金会的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
This project will provide new research computing equipment for Temple University. Faculty and students from disciplines such as Biology, Chemistry, Computer and Information Sciences, Mathematics, and Physics, will benefit as well as other disciplines, who use computation as a primary tool in their research. The equipment consists of three components: (1) a storage device, (2) sets of processors optimized for empowering machine learning applications, and (3) high-performance processing units tuned for large-scale computational calculations. This equipment will complement existing investments at Temple and help drive undergraduate research plus educational activities across the entire campus.Computational science, chemical physics, evolutionary biology, materials science, biophysics, data analytics, and genomics are major research themes in the College of Science & Technology. Various research centers and institutes reflecting these themes will be empowered by the new high-performance computing equipment. In addition, the equipment will broadly impact research in machine learning, computer vision, big data, nano-scale science, neuroscience, as well as initiatives in energy and health. The new equipment will greatly enhance current computing facilities and enable transformational research over a broad front. Temple is Philadelphia’s public university with an enrollment of about 35,900 graduate, professional, and undergraduate students. It boasts a diverse student body. Temple has one of few computing centers in the region that can go beyond minimal services and promote and support collaboration and cooperation among K-12 and STEM education, government agencies, and local industry. Temple addresses needs for scientific training in business environments with its Professional Science Master’s programs; the wide expertise in computational sciences has led to development of programs with strong computational components, e.g., Bioinformatics and High-Performance Computing. The new infrastructure will foster research and educational experiences that embrace local and regional communities and empower entrepreneurial research activities that contribute to economic growth in the region. The new equipment will be procured, assembled, and operated by the High-Performance Computing staff in the College of Science & Technology. The website https://www.hpc.temple.edu provides information about available resources, how to get access, user guides, usage statistics, and usage policies. The staff will be responsible for running the associated tutorials, workshops, and conferences that are designed to benefit the user base not only at Temple but also in the local and regional research communities.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.
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REU Site: High Performance Computing (HPC) Tools, Techniques, and Research across the Physical Sciences
  • 批准号:
    2348782
  • 项目类别:
    Standard Grant
  • 资助金额:
    $45.66万
  • 财政年份:
    2024
  • 负责人:
    Michael Klein
  • 依托单位:
MRI: Acquisition of a Flexible High-Performance Computing System for Data and Compute Driven Scientific Discovery
  • 批准号:
    1625061
  • 项目类别:
    Standard Grant
  • 资助金额:
    $50.0万
  • 财政年份:
    2016
  • 负责人:
    Michael Klein
  • 依托单位:
Unveiling allosteric pathways in ion channels
  • 批准号:
    1440059
  • 项目类别:
    Standard Grant
  • 资助金额:
    $0.92万
  • 财政年份:
    2014
  • 负责人:
    Michael Klein
  • 依托单位:
Building Computational Models to Probe Membrane Fusion
  • 批准号:
    1212416
  • 项目类别:
    Standard Grant
  • 资助金额:
    $40.6万
  • 财政年份:
    2012
  • 负责人:
    Michael Klein
  • 依托单位:
海外基金