课题基金 / 基金详情

II-New: A Compute and Storage Cluster for Multidisciplinary Research on Computer Systems and Scientific Simulations

II-New: A Compute and Storage Cluster for Multidisciplinary Research on Computer Systems and Scientific Simulations
II-New:用于计算机系统和科学模拟多学科研究的计算和​​存储集群
批准号:
1059376
负责人:
Weikuan Yu
金额:
$39.96万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2011
资助国家:
美国
项目状态:
已结题
起止时间:
2011-04-01 至 2015-03-31

项目摘要

项目成果

Weikuan Yu的其他基金

相似基金

相关文献

中文摘要
翻译
该项目由科学计算研究人员、计算机系统研究人员和计算机科学教育工作者组成的团队执行。建立了一个尖端的计算和存储集群,使计算机系统和科学模拟的多学科研究成为可能。该集群由用于科学计算的稳定计算分区和用于计算机系统研究的实验存储分区组成。奥本大学计算原子物理、气候和生态系统建模以及计算机科学领域的领导小组计划在他们的研究中使用这种计算基础设施。该研究基础设施加强了计算机科学在并行编程模型、并行I/O、文件系统、存储和数据密集型分析方面的研究。此外,它还培养了计算气候模拟,计算原子物理和应用计算机科学等新的多学科研究项目。此外,它允许更好的教学方法和教育活动来吸引更多的学生,特别是来自代表性不足的群体,从事计算机职业。该项目的研究预计将产生优化的科学代码、细粒度的生态系统模拟和准确的环境变化预测。研究成果将发表在计算和计算机科学期刊和国际会议上。这个项目的开源软件包将被发布用于社区服务。
英文摘要
This project is carried out by a team of scientific computing researchers, computer systems researchers, and computer science educators. A cutting-edge compute and storage cluster is built to enable multidisciplinary research on computer systems and scientific simulations. This cluster consists of a stable compute partition with GPGPU processors for scientific computing and an experimental storage partition for computer systems research. Leading groups at Auburn University in the areas of computational atomic physics, climate and ecosystem modeling, and computer science plan to use this computing infrastructure in their research. This research infrastructure strengthens computer science research on parallel programming models, parallel I/O, file systems, storage, and data-intensive analytics. In addition, it cultivates new multidisciplinary research projects on computational climate modeling, computational atomic physics, and applied computer science. Furthermore, it allows better pedagogical methods and education activities to attract more students, particularly from underrepresented groups, for computing careers. The project's research is expected to result in optimized scientific codes, fine-grained ecosystem simulations, and accurate environmental change predictions. Research results will be published in computational and computer science journals and international conferences. Open source software packages from this project will be released for community services.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Collaborative Research: OAC Core: CropDL - Scheduling and Checkpoint/Restart Support for Deep Learning Applications on HPC Clusters
  • 批准号:
    2403089
  • 项目类别:
    Standard Grant
  • 资助金额:
    $22.5万
  • 财政年份:
    2024
  • 负责人:
    Weikuan Yu
  • 依托单位:
SaTC: CORE: Small: Realizing Enhanced Authentication in the Mobile Era
  • 批准号:
    2131143
  • 项目类别:
    Standard Grant
  • 资助金额:
    $32.5万
  • 财政年份:
    2021
  • 负责人:
    Weikuan Yu
  • 依托单位:
IRES Track-1: I/O Research for Data-Intensive Analytics and Deep Learning
  • 批准号:
    1952302
  • 项目类别:
    Standard Grant
  • 资助金额:
    $30.0万
  • 财政年份:
    2020
  • 负责人:
    Weikuan Yu
  • 依托单位:
SHF: Medium: Collaborative Research: ECC: Ephemeral Coherence Cohort for I/O Containerization and Disaggregation
  • 批准号:
    1763547
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $50.0万
  • 财政年份:
    2018
  • 负责人:
    Weikuan Yu
  • 依托单位:
海外基金